IEEE Boston Section

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!

Upcoming Events!

Mar
19
Tue
From Academic Research to Startup
Mar 19 @ 7:00 pm – 9:00 pm
Entrepreneurs’ Network In-person location forth-coming Virtual via Zoom Cost: Free to ENET members; $15. Non-members Academic research is a critical source of new knowledge, a basic research engine that translates investigator curiosity, energy and resourcefulness into tools, insights and inventions that have the potential to change the world.  Sadly, only 5-10 percent of patented academic inventions go on to become commercial products, and only a very small percentage of academic research even gets to the stage of filing a patent. What does it take to effectively translate academic research to commercial success? Often, the path to commercialization begins with a start-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 academic research to commercialization continuum, will enlighten us with their experienced insights. Learn more and registration: 
Mar
21
Thu
Python Applications for Signal Processing and Digital Design @ Zoom
Mar 21 @ 6:00 pm – 7:30 pm

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 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

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 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.

Mar
28
Thu
On Safe Autonomous Driving:  Past, Present, and Future @ 550 Huntington Ave, Beatty Hall, Room 426
Mar 28 @ 6:00 pm – 8:00 pm

Robotics and Automation Society and Aerospace and Electronic Systems

In this distinguished lecture, Dr. Mohan Trivedi from the University of California, San Diego, will highlight major research milestones in the autonomous vehicles area and discuss issues that require deeper, critical examination and careful resolution to ensure the safe, reliable, and robust operation of these highly complex systems in the real world.

Speaker:  Dr. Mohan Trivedi

Biography:  Mohan Trivedi is a Distinguished Professor of Electrical and Computer Engineering at University of California San Diego and founding director 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 vehicles, human-centered autonomous driving, machine perception, machine learning, human-robot interactivity, and advanced driver assistance. Trivedi has received Distinguished Alumnus awards from BITS-Pilani, India and Utah State University. He has given over 130 keynote/plenary talks. He regularly serves as a consultant to various industry and government agencies in the US and abroad. He frequently serves on panels dealing with technological, strategic, privacy, and ethical issues surrounding research areas he is involved in.

Trivedi has served as the Chair of the Robotics Technical Committee of the IEEE Computer Society, Governing Board member of the IEEE Systems, Man & Cybernetics, and IEEE ITSC societies. Trivedi is a Fellow of IEEE (life), SPIE, and IAPR.

Light Dinner and refreshments!

Registration is required to attend.   https://events.vtools.ieee.org/m/404113

Elections will take Place!

Interested in roles in RAS?  Contact:  giovmi@ieee.org, ieee-ras@nedharvey.com

Python Applications for Signal Processing and Digital Design @ Zoom
Mar 28 @ 6:00 pm – 7:30 pm

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 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

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 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.

Apr
11
Thu
Monolithic, Heterogeneous and Hybrid Photonic Integration – There is a role for all @ MIT Lincoln Laboratory - Cafeteria
Apr 11 @ 6:00 pm – 8:00 pm

Photonics Society

This seminar will discuss the driving motivations for and technical approaches to photonic integration, by Dr. Daniel Renner, Distinguished Lecturer of the IEEE Photonics Society.

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 activity for several years. Over this period, great strides have been made to 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 similarities and differences with Electronic Integrated Circuits (EICs)? This analysis of integration drivers will lead to a discussion of recent progress on the main paths: monolithic, heterogeneous and hybrid. The talk will conclude with possible approaches to meet the additional demanding considerations 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, in his early twenties, he went to the University of Cambridge in England to 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 that relate to the research, development, manufacturing and commercialization of complex photonic devices and systems, used in communication, sensor and industrial applications. In the past 30 years, Daniel has been directly involved with the growth of four photonic start-ups in the United States, Ortel Corporation, Agility Communications, Aerius Photonics and Freedom Photonics. This gives him a unique perspective on the workings of a high-tech small business. Daniel is currently the Chair of the IEEE Photonics Society Industry Engagement Committee, from where he is trying to help other photonic small businesses.

Event link and registration 

 

IEEE Boston Section recognized for Excellence in Membership Recruitment Performance

 

IEEE HKN Ceremony

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.