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IEEE Boston/Providence/New Hampshire Reliability Chapter
Please visit www.ieee.org/bostonrel
FREE Webinar
The reliability and manufacturability of BGA devices is becoming more dependent on the PCB structure, layout and chassis design. With every increasing part densities the chassis design (PCB mounting), board layout, and underfills can cause additional stresses to be applied to the BGA device beyond just the thermal expansion mismatch. This presentation will cover some of the thermal-mechanical issues, manufacturing defects, and modeling techniques that can be used to help determine the reliability of BGA devices.
Location: This Webinar is to be delivered 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.
Hosts Boston/Providence/New Hampshire Jt Sections,RL07
Michael W. Bannan, Chair
IEEE Boston/Providence/New Hampshire Reliability Chapter
Registration Starts 16 January 2023 12:00 AM Ends 07 February 2023 05:30 PM
All times are (GMT-05:00) US/Eastern No Admission Charge
Speaker: Nathan Blattau of Ansys
Topic: BGA Reliability and Manufacturing Challenges
Agenda:
11:00 AM – Technical Presentation
11:45 AM – Questions and Answers
12:00 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.
COURSE DESCRIPTION
Digital Signal Processing (DSP) for Software Radio
First Video Release and Orientation, Thursday, January 19, 2023, 4:00PM – 4:30PM. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 4:00PM – 5:30PM EST; Thursdays, January 26, February 2, 9, 16 and 23, 2023.
Attendees will have access to the recorded session and exercises for two months (until April 25) after the live session ends!
IEEE Member Fee: $190.00
Non-Member Fee: $210.00
Decision to run/cancel course: Monday, January 16, 2023
Speaker: Dan Boschen
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 builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles.
This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets.
Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors.
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 routinely taught by Dan titled “Python Applications for Digital Design and Signal Processing”.
All set-up information for installation of all tools used will be provided prior to the start of class.
Target Audience:
All engineers involved in or interested in signal processing for wireless communications. Students should have either taken the earlier course “DSP for Wireless Communications” or have been sufficiently exposed to basic signal processing concepts such as Fourier, Laplace, and Z-transforms, Digital filter (FIR/IIR) structures, and representation of complex digital and analog signals in the time and frequency domains. Please contact Dan at boschen@loglin.com if you are uncertain about your background or if you would like more information on the course.
Benefits of Attending/ Goals of Course:
Attendees will gain a strong intuitive understanding of the practical and common signal processing implementations found in modern radio and modem architectures and be able to apply these concepts directly to communications system design.
Topics / Schedule:
Class 1: DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams
Class 2: ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators
Class 3: Digital Control Loops; Output Power Control, Automatic Gain Control
Class 4: Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters
Class 5: RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers
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 at: http://www.linkedin.com/in/danboschen
COURSE DESCRIPTION
Digital Signal Processing (DSP) for Software Radio
First Video Release and Orientation, Thursday, January 19, 2023, 4:00PM – 4:30PM. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 4:00PM – 5:30PM EST; Thursdays, January 26, February 2, 9, 16 and 23, 2023.
Attendees will have access to the recorded session and exercises for two months (until April 25) after the live session ends!
IEEE Member Fee: $190.00
Non-Member Fee: $210.00
Decision to run/cancel course: Monday, January 16, 2023
Speaker: Dan Boschen
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 builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles.
This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets.
Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors.
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 routinely taught by Dan titled “Python Applications for Digital Design and Signal Processing”.
All set-up information for installation of all tools used will be provided prior to the start of class.
Target Audience:
All engineers involved in or interested in signal processing for wireless communications. Students should have either taken the earlier course “DSP for Wireless Communications” or have been sufficiently exposed to basic signal processing concepts such as Fourier, Laplace, and Z-transforms, Digital filter (FIR/IIR) structures, and representation of complex digital and analog signals in the time and frequency domains. Please contact Dan at boschen@loglin.com if you are uncertain about your background or if you would like more information on the course.
Benefits of Attending/ Goals of Course:
Attendees will gain a strong intuitive understanding of the practical and common signal processing implementations found in modern radio and modem architectures and be able to apply these concepts directly to communications system design.
Topics / Schedule:
Class 1: DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams
Class 2: ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators
Class 3: Digital Control Loops; Output Power Control, Automatic Gain Control
Class 4: Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters
Class 5: RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers
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 at: http://www.linkedin.com/in/danboschen
Computer Society and GBC/ACM
Neil Gershenfeld, MIT
We will post information about registering for Zoom access on our website <https://ewh.ieee.org/r1/boston/computer/> once the abstract for this talk is finalized.
After registering, you will receive a confirmation email containing information about joining the webinar.
MIT’s Center for Bits and Atoms was created to explore the boundary between computer science and physical science. I will survey what we’ve found at that intersection, from origins of quantum computing and the Internet of Things, to aligning the representations of hardware and software, to the convergence of digital communication and computation with fabrication, and I’ll explore their commercial and social impacts.
Bio: Prof. Neil Gershenfeld is the Director of MIT’s Center for Bits and Atoms, where his unique laboratory is breaking down boundaries between the digital and physical worlds, from pioneering quantum computing to digital fabrication to the Internet of Things. Technology from his lab has been seen and used in settings including New York’s Museum of Modern Art and rural Indian villages, the White House and the World Economic Forum, inner-city community centers and automobile safety systems, Las Vegas shows and Sami herds. He is the author of numerous technical publications, patents, and books including Designing Reality, Fab, When Things Start To Think, The Nature of Mathematical Modeling, and The Physics of Information Technology, and has been featured in media such as The New York Times, The Economist, NPR, CNN, and PBS. He is a Fellow of the American Association for the Advancement of Science and the American Physical Society, has been named one of Scientific American’s 50 leaders in science and technology, as one of 40 Modern-Day Leonardos by the Museum of Science and Industry, one of Popular Mechanic’s 25 Makers, has been selected as a CNN/Time/Fortune Principal Voice, and by Prospect/Foreign Policy as one of the top 100 public intellectuals. He’s been called the intellectual father of the maker movement, founding a growing global network of over two thousand fab labs in 125 countries that provide widespread access to prototype tools for personal fabrication, directing the Fab Academy for distributed research and education in the principles and practices of digital fabrication, and chairing the Fab Foundation. He is a co-founder of the Interspecies Internet and of the Science and Entertainment Exchange. Dr. Gershenfeld has a BA in Physics with High Honors from Swarthmore College, a Ph.D. in Applied Physics from Cornell University, honorary doctorates from Swarthmore College, Strathclyde University and the University of Antwerp, was a Junior Fellow of the Harvard University Society of Fellows, and a member of the research staff at Bell Labs.
Research advances by Dr. Gershenfeld and his students and colleagues working at the boundary between physical science and computer science include: the first significant quantum computations, using nuclear spins in molecules; microfluidic bubble logic, with bits that transport materials as well as information; physical one-way cryptographic functions, implemented by mesoscopic light scattering; noise-locked loops that entrain on codes, which led to analog logic integrated circuits that use continuous device dynamics to solve digital problems; asynchronous logic automata to align hardware with software; Internet 0 for interdevice internetworking; microslot probes for ultra-small-sample structural studies; integrated 6-axis inertial measurement based on the dynamics of trapped particles; charge source tomography for electric field imaging and intrabody signaling; electropermanent actuators for high torque at low RPM with static holding; and additive assembly of functional digital materials that can be used in the highest modulus ultralight structures.
He’s spoken for events including TED (and another, and another), the The National Academy of Sciences, the Royal Academy, the National Science Foundation, the White House, the President’s Council of Advisors on Science and Technology, the Library of Congress, the World Economic Forum, the World Science Festival, the Science & Entertainment Exchange, the Whole Earth Catalog, ESOF, Google, IBM, EDUCAUSE, ACADIA, the ACM/IEEE Conference on Supercomputing, IEDM, Etech, APMM, Solid, and Maker Faire.
His movie credits include Minority Report and Big Hero 6.
For more information contact Peter Mager p.mager at computer.org
Up-to-date information about this and other talks is available online at https://ewh.ieee.org/r1/boston/computer/.
You can sign up to receive updated status information about this talk and informational emails about future talks at https://mailman.mit.edu/mailman/listinfo/ieee-cs, our self-administered mailing list.
News!
2023 Slate of Officers – Petition Deadline December 17, 2022
Nominations Committee Report to IEEE Boston Section Executive Committee. Accepted by the Executive Committee via email vote.
2023 Slate of Officers
Chair: Rui Ma
Vice – Chair: Maira Samary
Secretary/Treasurer: David Mendonca
At-Large (2023 – 2024)
Len Long
Karen Panetta
Soon Wan
Additional nominations may be made by a petition signed by at least 25 voting members of the Section and submitted to the current Section Secretary no later than 30 days after the announcement to membership, (November 17, 2022). Petition deadline, December 17, 2022.

Diversity, Equity and Inclusion (DEI) Panel at the 2022 IEEE Convene Meeting held in Boston on October 28, moderated by 2022 IEEE Boston Section Chair, Denise Griffin (center). Panel speakers: Kathy Herring-Hayashi, Region 6 Director Elect (left); Maira Samary, 2022 IEEE Boston Section Treasurer (right); and Dalma Novak, Division 10 Director (not pictured).
SPECIAL NOTICE – CORONAVIRUS (COVID-19)
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.