IEEE Boston Section

COURSE DESCRIPTION

Course Kick-off / Orientation Thursday, April 18, 6:00PM – 6:30PM.

Live Workshops:  6:00PM – 7:30PM, Thursdays, April 25, May 2, 9, 16, 23

Registration is open through the last live workshop date.  Live workshops are recorded for later use.

Attendees will have access to the recorded session and exercises for two months (until July 23, 2024) after the live session ends!

Speaker:  Dan Boschen

IEEE Member Fee (by April 11th):  $190.00

IEEE Member Fee (after April 11th):  $285.00

IEEE Non-Member Fee (by April 11th):  $210.00

IEEE Non-Member Fee (after April 11th) $315.00

Decision to run/cancel course:  Friday, April 12, 2024

COURSE DESCRIPTION

New Format Combining Live Workshops with Pre-recorded Video

This is a hands-on course providing pre-recorded lectures that students can watch on their own schedule and an unlimited number of times prior to live Q&A/Workshop sessions with the instructor. Ten 1.5 hour videos released 2 per week while the course is in session will be available for up to two months after the conclusion of the course.

Course Summary

This course is a fresh view of the fundamental and practical concepts of digital signal processing applicable to the design of mixed signal design with A/D conversion, digital filters, operations with the FFT, and multi-rate signal processing.  This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and applications in GPS and mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges in both the analog and digital domains, and not a tutorial on working with specific DSP processor hardware.

Now with Jupyter Notebooks!

This long-running IEEE Course has been updated to include Jupyter Notebooks which incorporates graphics together with Python simulation code to provide a “take-it-with-you” interactive user experience. No knowledge of Python is required but the notebooks will provide a basic framework for proceeding with further signal processing development using that tools for those that have interest in doing so.

This course will not be teaching Python, but using it for demonstration. A more detailed course on Python itself is covered in a separate IEEE Course “Python Applications for Digital Design and Signal Processing”.

Students will be encouraged but not required to load all the Python tools needed, and all set-up information for installation will be provided prior to the start of class.

Target Audience:

All engineers involved in or interested in signal processing applications. Engineers with significant experience with DSP will also appreciate this opportunity for an in-depth review of the fundamental DSP concepts from a different perspective than that given in a traditional introductory DSP course.

Benefits of Attending/ Goals of Course:

Attendees will build a stronger intuitive understanding of the fundamental signal processing concepts involved with digital filtering and mixed signal analog and digital design. With this, attendees will be able to implement more creative and efficient signal processing architectures in both the analog and digital domains. The knowledge gained from this course will have immediate practical value for any work in the signal processing field.

Topics / Schedule:

Pre-recorded lectures:  (3 hours each) will be distributed Friday prior to each week’s workshop dates.  Workshop/Q&A Sessions are 6 – 7:30PM on the dates listed below.

Kick-off / Orientation:  Thursday, April 18, 2024

Class 1:  April 25, 2024:  Correlation, Fourier Transform, Laplace Transform

Class 2:  May 2, 2024:  Sampling and A/D Conversion, Z –transform, D/A Conversion

Class 3:  May 9, 2024:  IIR and FIR Digital filters, Direct Fourier Transform

Class 4:  May 16, 2024:  May Windowing, Digital Filter Design, Fixed Point vs Floating Point

Class 5:  May23, 2024:  Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems. Dan is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page at: http://www.linkedin.com/in/danboschen

Registration is open through the last live workshop date.  Live workshops are recorded for later use.

Boston SMTA/IMAPS/IEEE Boston/New Hampshire/Providence Reliability Chapter Event

Greetings fellow Reliability enthusiasts!

The IEEE Reliability Society’s Joint Boston/New Hampshire/Providence Chapter is pleased to be co-hosting with Boston SMTA and iMAPS an evening meeting at Advanced MicroAnalytical in Salem, NH.  This will include dinner, a discussion of analytical tools and techniques, and a facilities tour.

To register, please use this Link to SMTA Registration.

Hope to see you there!

Best regards, James P. (Jay) Yakura, Chair, Joint Boston/New Hampshire/Providence Chapter, IEEE Reliability Society

Overview:

This meeting will cover laboratory techniques and test methods for a variety of samples from components to PCBA’s and whole commercial devices. A number of familiar analytical techniques will be discussed and demonstrated related to reliability and process inspection, including visual inspection and standard techniques like Ball Shear, X-ray Imaging, CSAM and other standard composite methods. Additionally, more specialized approaches to Failure Analysis, research, and process development will be demonstrated including use of multiple types of electron microscopes, spectroscopy, and Focused Ion Beam analysis for 3D examination of devices on a nano-scale.

Advanced MicroAnalytical is part of the EMSL Analytical network. Coming up on 10 years this May, Advanced MicroAnalytical has been delivering in-depth scientific support for a wide range of industries and sample types. Our staff and analytical capabilities are primed to provide leading edge support for industries including, including manufacturing, microelectronics, nano-fabrication, aerospace and defense, medical devices and more. This meeting will demonstrate the type of work flow associated with finding and understanding problems that challenge attending members – from initial product development choices, through reliability, product support, and customer facing FA efforts. Advanced MicroAnalytical is located in the hub of technology on the East Coast just north of Boston, MA, in Salem NH.

Cost:  Members: $25, Non-members: $30, Students/Retired: $10

***IEEE and iMAPs Members please contact Mike Jansen mjansen@macktech.com to receive promo code for discounted rate***

If you are not an SMTA member, you may click “Continue as Guest” on the registration page.

Hosts:  Boston SMTA, iMAPS, & IEEE Boston/Providence/New Hampshire Jt Sections,RL07

Registration – Link to SMTA Registration

Speakers:

Jared Kelly – Advanced MicroAnalytical

Hal Winslow – Symbotic

Chuck Lemieux – Advanced MicroAnalytical

Agenda:

5:30 PM – Registration

6:00 PM – Dinner

6:30 PM – Presentation

7:30 PM – Tour

9:00 PM – Adjourn

If you no longer wish to receive these meeting announcements, please send an email to James P. Yakura with “Unsubscribe” in the subject line.

Microwave Theory and Technology Society

Refreshments (pizza and beverages) with socialization will start at 5:30 PM.

The technical talk will be from 6:00 – 7:00 PM.

Registration:  Click here 

Anthony Grbic of University of Michigan

The research area of metamaterials has captured the imagination of scientists and engineers over the past two decades by allowing unprecedented control of electromagnetic fields. The extreme manipulation of fields has been made possible by the fine spatial control and wide range of material properties that can be attained through subwavelength structuring. Research in this area has resulted in devices which overcome the diffraction limit, render objects invisible, and even break time reversal symmetry. It has also led to flattened and conformal optical systems and ultra-thin antennas. This seminar will identify recent advances in the growing area of metamaterials, with a focus on metasurfaces: two dimensional metamaterials. The talk will explain what they are, the promise they hold, and how these field-transforming surfaces are forcing the rethinking of electromagnetic/optical design.

Electromagnetic metasurfaces are finely patterned surfaces whose intricate patterns/textures dictate their electromagnetic properties. Conventional field-shaping devices, such as lenses in prescription eye glasses or a magnifying glass, require thickness (propagation length) to manipulate electromagnetic waves through interference. In contrast, metasurfaces manipulate electromagnetic waves across negligible thicknesses through surface interactions, by impressing abrupt phase and amplitude discontinuities onto a wavefront. The role of the visible (propagating) and invisible (evanescent) spectrum in establishing these discontinuities will be explained. In addition, it will be shown how metasurfaces allow the complete transformation of fields across a boundary, and how this unique property is driving a new generation of ultra-compact electromagnetic and optical devices with unparalleled field control. Metasurfaces will be described that exhibit various field tailoring capabilities including multiwavelength and multifunctional performances and extreme field shaping. In addition, metasurfaces with multi-input to multi-output capabilities will be presented that open new opportunities in adaptive and trainable designs.

Biography:  Anthony Grbic received the B.A.Sc., M.A.Sc., and Ph.D. degrees in electrical engineering from the University of Toronto, Canada, in 1998, 2000, and 2005, respectively. In 2006, he joined the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA, where he is currently a Professor. His research interests include engineered electromagnetic structures (metamaterials, metasurfaces, electromagnetic band-gap materials, frequency-selective surfaces), microwave circuits, antennas, plasmonics, wireless power transmission, and analytical electromagnetics/optics.

Anthony Grbic has made pioneering contributions to the theory and development of electromagnetic metamaterials and metasurfaces: finely textured, engineered electromagnetic structures/surfaces that offer unprecedented wavefront control. Dr. Grbic is a Fellow of the IEEE. He is currently an IEEE Microwave Theory and Techniques Society Distinguished Microwave Lecturer (2022-2025). He is also serving on the IEEE Antennas and Propagation Society (AP-S) Field Awards Committee and IEEE Fellow Selection Committee. From 2018 to 2021, he has served as a member of the Scientific Advisory Board, International Congress on Artificial Materials for Novel Wave Phenomena – Metamaterials. In addition, he has been Vice Chair of Technical Activities for the IEEE Antennas and Propagation Society, Chapter IV (Trident), IEEE Southeastern Michigan Section, from Sept. 2007 – 2021. From July 2010 to July 2015, he was Associate Editor for the rapid publication journal IEEE Antennas and Wireless Propagation Letters. Prof Grbic was Technical Program Co-Chair in 2012 and Topic Co-Chair in 2016 and 2017 for the IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting. Dr. Grbic was the recipient of AFOSR Young Investigator Award as well as NSF Faculty Early Career Development Award in 2008, the Presidential Early Career Award for Scientists and Engineers in January 2010. He also received an Outstanding Young Engineer Award from the IEEE Microwave Theory and Techniques Society, a Henry Russel Award from the University of Michigan, and a Booker Fellowship from the United States National Committee of the International Union of Radio Science in 2011. He was the inaugural recipient of the Ernest and Bettine Kuh Distinguished Faculty Scholar Award in the Department of Electrical and Computer Science, University of Michigan in 2012. In 2018, Prof. Anthony Grbic received a 2018 University of Michigan Faculty Recognition Award for outstanding achievement in scholarly research, excellence as a teacher, advisor and mentor, and distinguished service to the institution and profession. In 2021, he was selected as 1 of 5 finalists worldwide for the A.F. Harvey Engineering Research Prize, for his pioneering contributions to field of electromagnetic metamaterials. The A.F. Harvey Prize is the Institution of Engineering and Technology’s (IET’s) most valuable prize fund.

COURSE DESCRIPTION

Course Kick-off / Orientation Thursday, April 18, 6:00PM – 6:30PM.

Live Workshops:  6:00PM – 7:30PM, Thursdays, April 25, May 2, 9, 16, 23

Registration is open through the last live workshop date.  Live workshops are recorded for later use.

Attendees will have access to the recorded session and exercises for two months (until July 23, 2024) after the live session ends!

Speaker:  Dan Boschen

IEEE Member Fee (by April 11th):  $190.00

IEEE Member Fee (after April 11th):  $285.00

IEEE Non-Member Fee (by April 11th):  $210.00

IEEE Non-Member Fee (after April 11th) $315.00

Decision to run/cancel course:  Friday, April 12, 2024

COURSE DESCRIPTION

New Format Combining Live Workshops with Pre-recorded Video

This is a hands-on course providing pre-recorded lectures that students can watch on their own schedule and an unlimited number of times prior to live Q&A/Workshop sessions with the instructor. Ten 1.5 hour videos released 2 per week while the course is in session will be available for up to two months after the conclusion of the course.

Course Summary

This course is a fresh view of the fundamental and practical concepts of digital signal processing applicable to the design of mixed signal design with A/D conversion, digital filters, operations with the FFT, and multi-rate signal processing.  This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and applications in GPS and mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges in both the analog and digital domains, and not a tutorial on working with specific DSP processor hardware.

Now with Jupyter Notebooks!

This long-running IEEE Course has been updated to include Jupyter Notebooks which incorporates graphics together with Python simulation code to provide a “take-it-with-you” interactive user experience. No knowledge of Python is required but the notebooks will provide a basic framework for proceeding with further signal processing development using that tools for those that have interest in doing so.

This course will not be teaching Python, but using it for demonstration. A more detailed course on Python itself is covered in a separate IEEE Course “Python Applications for Digital Design and Signal Processing”.

Students will be encouraged but not required to load all the Python tools needed, and all set-up information for installation will be provided prior to the start of class.

Target Audience:

All engineers involved in or interested in signal processing applications. Engineers with significant experience with DSP will also appreciate this opportunity for an in-depth review of the fundamental DSP concepts from a different perspective than that given in a traditional introductory DSP course.

Benefits of Attending/ Goals of Course:

Attendees will build a stronger intuitive understanding of the fundamental signal processing concepts involved with digital filtering and mixed signal analog and digital design. With this, attendees will be able to implement more creative and efficient signal processing architectures in both the analog and digital domains. The knowledge gained from this course will have immediate practical value for any work in the signal processing field.

Topics / Schedule:

Pre-recorded lectures:  (3 hours each) will be distributed Friday prior to each week’s workshop dates.  Workshop/Q&A Sessions are 6 – 7:30PM on the dates listed below.

Kick-off / Orientation:  Thursday, April 18, 2024

Class 1:  April 25, 2024:  Correlation, Fourier Transform, Laplace Transform

Class 2:  May 2, 2024:  Sampling and A/D Conversion, Z –transform, D/A Conversion

Class 3:  May 9, 2024:  IIR and FIR Digital filters, Direct Fourier Transform

Class 4:  May 16, 2024:  May Windowing, Digital Filter Design, Fixed Point vs Floating Point

Class 5:  May23, 2024:  Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems. Dan is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page at: http://www.linkedin.com/in/danboschen

Registration is open through the last live workshop date.  Live workshops are recorded for later use.