News & Announcements!
Business Manager Position Available
The 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, finance, marketing, social media communications, conferences, and events. For more details and to apply, click here!
IEEE Boston Section – Call for Committee Volunteers!
IEEE Boston/Providence/New Hampshire Reliability Chapter and co-sponsoring Life Members
Speaker: Priscila Silva of University of Massachusetts – Dartmouth
Resilience engineering is the ability to build and sustain a system that can deal effectively with disruptive events. Previous resilience engineering research focuses on metrics to quantify resilience and models to characterize system performance. However, resilience metrics are normally computed after disruptions have occurred and existing models lack the ability to predict one or more shocks and subsequent recoveries.
To address these limitations, this talk presents three alternative approaches to model system resilience with statistical techniques based on (i) regression, (ii) time series, and (iii) a combination of regression and time series to track and predict how system performance will change when exposed to multiple shocks and stresses of different intensity and duration, provide structure for planning tests to assess system resilience against particular shocks and stresses and guide data collection necessary to conduct tests effectively.
These modeling approaches are general and can be applied to systems and processes in multiple domains. A historical data set on job losses during the 1980 recessions in the United States is used to assess the predictive accuracy of these approaches. Goodness-of-fit measures and confidence intervals are computed and interval-based and point-based resilience metrics are predicted to assess how well the models perform on the data set considered. The results suggest that resilience models based on statistical methods such as multiple linear regression and multivariate time series models are capable of modeling and predicting resilience curves exhibiting multiple shocks and subsequent recoveries. However, models that combine regression and time series account for changes in performance due to current and time-delayed effects from disruptions most effectively, demonstrating superior performance in long-term predictions and higher goodness-of-fit despite increased parametric complexity.
Location: This Meeting is to be delivered in-person at MIT Lincoln Lab Main Cafeteria, 244 Wood St, Lexington, MA 02421, and virtually.
At registration, you must provide a valid e-mail address to receive the Webinar Session link approximately 15 hours before the event. The link will only be sent to the e-mail address entered with your registration. Please double-check for spelling errors. If you haven’t received the e-mail as scheduled, please check your spam folder and alternate e-mail accounts before contacting the host.
5:30 PM – Light repast and Networking
6:00 PM – Technical Presentation
6:45 PM – Questions and Answers
7:00 PM – Adjournment
The meeting is open to all. You do not need to belong to the IEEE to attend this event; however, we welcome your consideration of IEEE membership as a career enhancing technical affiliation.
There is no cost to register or attend, but registration is required.
Power Electronics Society and Women in Engineering
Greetings from IEEE PELS Boston Chapter!
Come celebrate this women’s day with us and ‘Inspire Inclusion’.
Join us for a panel discussion on ‘Empowering WomXn in Power Electronics’. Listen to amazing panelists from academia and industry from different career-levels working in power electronics –
Prof. Samantha Coday, Assistant Professor, MIT
Dr. Rosa Ciprian PhD, EE Director, Robot team at Alert Innovation
Ms. Aparna Ajith, PMIC design engineer, Eta Wireless, a Murata Company
Dr. Arshiah Mirza, Senior Electrical Engineer, Shell Techworks
Please RSVP here to reserve your seat: https://shorturl.at/zIKZ1
This event hosted by IEEE PELS Boston chapter and sponsored by IEEE PELS Women in Engineering.
Where: Allen Room (36-462), MIT Building 36, 50 Vassar St, Cambridge, MA 02139
Follow us on LinkedIn here: https://www.linkedin.com/company/100777567
Become a member/volunteer signup here: http://tinyurl.com/532hjpa2
Online & in-person: Panel discussion
In-person only: Food available
Please reach out to email@example.com if you have any questions.
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 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 workshop session. A live orientation session will be held on February 29, 2024.
Attendees will have access to the recorded session and exercises 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 Rate (after February 15): $315.00
Decision to run/cancel course: Thursday, February 22, 2024
Speaker: Dan Boschen
This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
Pre-Recorded Videos: The course format includes pre-recorded 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 with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course.
Overview: Dan provides simple, straight-forward 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, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience.
The course begins with basic Python data structures and constructs, including key “Pythonic” 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 models 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 Jupyter Notebooks which combines running Python code with interactive plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows users to create and share visually appealing documents containing code, graphics, visualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in signal processing.
Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts 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.
Benefits of Attending / Goals of Course: Attendees will 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 / Schedule:
Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation: February 29, 2024
Thursday, March 7, 2024
Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs.
Thursday, March 14, 2024
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
Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages
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 and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and 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.
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Consultants’ Network (CNET)
Free Dinner starts at 6:00 PM
Meeting starts at 7:00 PM – On-site and Zoom
Members in good standing are encouraged to attend. If you are unable to attend, then we will also be on Zoom.
IEEE Boston Section recognized for Excellence in Membership Recruitment Performance
IEEE Boston Section was 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 from Aerospace & Electronic Systems, to Entrepreneur Network to Women in Engineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activities, the Boston Section organizes and sponsors up to seven conferences in any given year, as well as more than 45 short courses. The Boston Section publishes a bi-weekly newsletter and, currently, a monthly Digital Reflector newspaper included in IEEE membership.
The IEEE Boston Section also offers social programs such as the section annual meeting, Milestone events, and other non-technical professional activities to round out the local events. The Section also hosts one of the largest and longest running entrepreneurial support groups in IEEE.
More than 150 volunteers help create and coordinate events throughout the year.