BEGIN:VCALENDAR VERSION:2.0 PRODID:-//50.62.137.54//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://ieeeboston.org X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-6985@ieeeboston.org DTSTAMP:20240319T021611Z CATEGORIES;LANGUAGE=en-US:All Meetings CONTACT: DESCRIPTION:
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
\n\n\n
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location fo rth-coming
Virtual via Zoom
Cost: Free to ENET members\; $15 . Non-members
Academic research is a critical source of new knowled ge\, a basic research engine that translates investigator curiosity\, ener gy and resourcefulness into tools\, insights and inventions that have the potential to change the world. Sadly\, only 5-10 percent of patented acad emic inventions go on to become commercial products\, and only a very smal l percentage of academic research even gets to the stage of filing a paten t. What does it take to effectively translate academic research to commerc ial success?
Often\, the path to commercialization begins with a st art-up. The challenges in launching a start- up based on research emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academ ic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional videos released weekly in adv ance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open throu gh the last live workshop date. Live workshops are recorded for later use .
Course Information will be distributed on Thursday\, February 29\ , 2024 in advance of and in preparation for the first live workshop sessio n. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exercises for two m onths (until May 28\, 2024) after the last live session ends!
IEEE Member Early Rate (by February 15): $190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Ea rly Rate (by February 15): $210.00
IEEE Non-Member Rate (after Feb ruary 15): $315.00
Decision to run/cancel course: Thursday\, Febr uary 22\, 2024
Speaker: Dan Boschen
This is a hands-on cour se combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
< strong>Pre-Recorded Videos: The course format includes pre-recor ded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.
The course begins with bas ic Python data structures and constructs\, including key “Pythonic” concep ts\, followed by an overview and use of popular packages for scientific co mputing enabling rapid prototyping for system design.
During the co urse students will create example designs including a sigma delta converte r and direct digital synthesizer both in floating point and fixed point. T his will include considerations for cycle and bit accurate models useful f or digital design verification (FPGA/ASIC)\, while bringing forward the si gnal processing tools for frequency and time domain analysis.
Jupyte r Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics fo r a rich user experience. Jupyter Notebooks is an open-source web-based ap plication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations a nd interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in sig nal processing.
Target Audience: This course is targeted toward users with littl e to no prior experience in Python\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is ve ry helpful. Students should be comfortable with basic signal processing co ncepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7160' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-5-300x229.jpg' alt='' width='300' height='229' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-300x229.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-5-332 x254.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-5.jpg 387w' sizes='(max-width: 300px) 100vw\, 300px' />
Benefits of Attending / Goals of Course: Attendees wil l gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up information for the installation of all tools will be provided before the start of class.
Topics / Sched ule:
Pre-recorded lectures (3 hours each) will be distribu ted Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:3 0pm on the dates listed below:
Kick-off / Orientation: February 29 \, 2024
Thursday\, March 7\, 2024
Topic 1: I ntro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.
Thursday\, March 14\, 2024
< em>Topic 2: Core Python constructs\; iterators\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024< /p>
Topic 4: Bit/cycle accurate modelling a nd analysis using the design examples and simulation packages
Speaker’s Bio:
Dan Boschen h as a MS in Communications and Signal Processing from Northeastern Universi ty\, with over 25 years of experience in system and hardware design for ra dio transceivers and modems. He has held various position s at Signal Technologies\, MITRE\, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international aud iences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (f ormerly Microsemi and Symmetricom) leading design efforts for advanced fre quency and time solutions.
For more background information \, please view Dan’s Lin ked-In page.
Registration is open through the last live worksho p date. Live workshops are recorded for later use.
Robotics and Autom ation Society and Aerospace and Electronic Systems
In this distingu ished lecture\, Dr. Mohan Trivedi from the University of California\, San Diego\, will highlight major research milestones in the autonomous vehicle s area and discuss issues that require deeper\, critical examination and c areful resolution to ensure the safe\, reliable\, and robust operation of these highly complex systems in the real world.
Speaker: D r. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding di rector of the Computer Vision and Robotics Research Laboratory (est. 1986) \, as well as the Laboratory for Intelligent and Safe Automobiles (LISA) ( est. 2001). Trivedi and his team are pursuing research in intelligent vehi cles\, human-centered autonomous driving\, machine perception\, machine le arning\, human-robot interactivity\, and advanced driver assistance. Trive di has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary talks. He reg ularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technolo gical\, strategic\, privacy\, and ethical issues surrounding research area s he is involved in.
Trivedi has served as the Chair of the Robotic s Technical Committee of the IEEE Computer Society\, Governing Board membe r of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC societies. Trive di is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light Dinner and r efreshments!
Registration is required to attend. https://events.vtools.ieee.org/m/404113< /a>
Elections will take Place!
Interested in roles in RAS? Contact: giovmi@ieee.org\, ieee-ras@nedharvey.com
COURSE DESCRIPTION
Course Kick-off / Orie ntation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First V ideo Release\, Thursday\, February 29\, 2024. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6: 00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Course Information will be distributed on Thursday\ , February 29\, 2024 in advance of and in preparation for the first live w orkshop session. A live orientation session will be held on February 29\, 2024.
Attendees will have access to the recorded session and exerc ises for two months (until May 28\, 2024) after the last live session ends !
IEEE Member Early Rate (by February 15): $ 190.00
IEEE Member Rate (after February 15th): $285.00
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE Non-Member R ate (after February 15): $315.00
Decision to run/cancel course: T hursday\, February 22\, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and worksho p sessions in the popular and powerful open-source Python programming lang uage.
Pre-Recorded Videos: The course format incl udes pre-recorded video lectures that students can watch on their own sche dule\, and an unlimited number of times\, prior to live Q&A workshop sessi ons on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the cour se.
Overview: Dan provides simple\, straight-forwa rd navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, wh ich combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.
The course b egins with basic Python data structures and constructs\, including key “Py thonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.
During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate m odels useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis .
Jupyter Notebooks: This course makes extensive use of Jup yter Notebooks which combines running Python code with interactive plots a nd graphics for a rich user experience. Jupyter Notebooks is an open-sourc e web-based application (that can be run locally) that allows users to cre ate and share visually appealing documents containing code\, graphics\, vi sualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future appli cations in signal processing.
Target Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly g et up to speed in best practice use of Python.
All set-up i nformation for the installation of all tools will be provided before the s tart of class.
Topics / Schedule:
Pre-recorded lectures (3 hours each) wi ll be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessio ns are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation : February 29\, 2024
Thursday\, March 7\, 2024
T opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course de sign examples. Core Python constructs.
Thursday\, March 14\, 202 4
Topic 2: Core Python constructs\; iterators\, functi ons\, reading writing data files.
Thursday\, March\, 21\, 2024 u>
Topic 3: Signal processing simulation with popular pack ages including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\, 2024
Topic 4: Bit/cycle accura te modelling and analysis using the design examples and simulation package s
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northea stern University\, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held va rious positions at Signal Technologies\, MITRE\, Airvana and Hittite Micro wave designing and developing transceiver hardware from baseband to antenn a for wireless communications systems and has taught courses on DSP to int ernational audiences for over 15 years. Dan is a contributor to Signal Pro cessing Stack Exchange https://dsp.stackexchange.com/\, and is currently a t Microchip (formerly Microsemi and Symmetricom) leading design efforts fo r advanced frequency and time solutions.
For more backgrou nd information\, please view Dan’s Linked-In page.
Registration is open through the las t live workshop date. Live workshops are recorded for later use.
Photonics Society
This seminar will discuss the driv ing motivations for and technical approaches to photonic integration\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonics Society.< /p>
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of photonic act ivity for several years. Over this period\, great strides have been made t o increase the integration density and integrated chip functionality. This talk will work its way up from the drivers for photonic integration – why do we need Photonic Integrated Circuits (PICs)? What are their similariti es and differences with Electronic Integrated Circuits (EICs)? This analys is of integration drivers will lead to a discussion of recent progress on the main paths: monolithic\, heterogeneous and hybrid. The talk will concl ude with possible approaches to meet the additional demanding consideratio ns for future Quantum PICs.
Bio: Dr. Daniel Renner grew up in the southern part of Chile\, in South America. He received his Bachelor of Engineering Degree from the Universidad de Chile and then\, i n his early twenties\, he went to the University of Cambridge in England t o do a Ph.D. in opto-electronics\, a new field of studies at the time. Now \, decades later\, he has lived through the whole range of experiences tha t relate to the research\, development\, manufacturing and commercializati on of complex photonic devices and systems\, used in communication\, senso r and industrial applications. In the past 30 years\, Daniel has been dire ctly involved with the growth of four photonic start-ups in the United Sta tes\, Ortel Corporation\, Agility Communications\, Aerius Photonics and Fr eedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photon ics Society Industry Engagement Committee\, from where he is trying to hel p other photonic small businesses.
IEEE Boston Section wa s founded Feb 13\, 1903\, and serves more than 8\,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest fro m Aerospace & Electronic Systems\, to Entrepreneur Network to Women in Eng ineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activ ities\, the Boston Section organizes and sponsors up to seven conferences in any given year\, as well as more than 45 short courses. The Boston Sect ion publishes a bi-weekly newsletter and\, currently\, a monthly Digital R eflector newspaper included in IEEE membership.
\nThe IEEE Boston Section also offers social programs such as the section annual meeting\, Milestone events\, and other non-technical pr ofessional activities to round out the local events. The Section also host s one of the largest and longest running entrepreneurial support groups in IEEE.
\nMore than 150 volunteers help create and coordinate events throughout the year.
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