UPCOMING MEETINGS AND WEBINARS from your CS chapter

Please check the vTools page for latest event updates: https://events.vtools.ieee.org/events/search?_sub=true&q=&ou=CH06084+-+Santa+Clara+Valley+Section+Chapter%2C+C16&d=Upcoming&commit=Search 

(Revisit the vTools page linked above and our website, as we list more meetings and webinars)


Message from the Chair, Vishnu S. Pendyala:

Could you be the one?

Celebrating a Milestone for IEEE Computer Society Santa Clara Valley Chapter! 🏆

After five incredible years of leading the IEEE Computer Society Santa Clara Valley Chapter—serving as Vice Chair (2019), Secretary (2021), and Chair (2022–2025)—I am thrilled to see our dedication recognized with the Outstanding Chapter Award 2024 among all other chapters in the world!

This prestigious honor celebrates chapters that deliver a world-class membership experience, and I couldn’t be prouder of the work.

Over the years, I introduced several initiatives that transformed engagement and enriched our community, including:

🔹 Feedforward—our quarterly magazine https://r6.ieee.org/scv-cs/magazines/

🔹 AMA Series—engaging Q&A sessions with renowned experts https://studio.youtube.com/playlist/PLLsxQYv4DdJlnmTJPcaPW2MLY3XV4bkZp/videos?o=U

🔹 Podcast Series—spotlighting industry leaders ·       https://podcasts.apple.com/us/podcast/ieee-computer-society-santa-clara-valley-chapter/id1708127425

🔹 Annual Awards—recognizing excellence https://r6.ieee.org/scv-cs/?s=awards

🔹 ICADS— International Conference on Applied Data Science featuring speakers from all over the world https://www.youtube.com/@vspendyala/search?query=icads

🔹 IEEE Xplore indexed Conference Sponsorship—boosting technical visibility https://ieeexplore.ieee.org/xpl/conhome/10164830/proceeding

🔹 Social Media Pages

https://www.linkedin.com/company/ieee-computer-society-scv-chapter/

https://www.facebook.com/IEEEComputerSocSCVchapter

🔹 Live-streamed Monthly Events—connecting with a global audience https://studio.youtube.com/playlist/PLLsxQYv4DdJlYcGPwqUJsnHmfqMtB3eSJ/videos?o=U

🔹 Sponsoring the 2024-22 BELLMAC-32 Microprocessor Milestone Event

https://spectrum.ieee.org/bellmac-32-ieee-milestone at the Computer History Museum to take place in October 2025.

Now, the time has come to pass the torch to the next visionary leader who will take our chapter to even greater heights! If you’re ready to step up and lead, I’d love to hear from you. Could you be the one?


UPCOMING CONFERENCES AND WORKSHOPS

Please check https://events.vtools.ieee.org/events/search?_sub=true&q=&ou=CH06084+-+Santa+Clara+Valley+Section+Chapter%2C+C16&d=Upcoming&commit=Search 

SLIDES, ON-DEMAND Webinars

Democratizing NLP: Considerations from Resources to Algorithms -- NLP support for low-resource languages, NLP algorithm design ...
Scheduled
Quantifying Configuration Health of Software Systems Video: https://ieeetv.ieee.org/video/quantifying-configuration-health-of-software-systems …DevOps, Software configuration health index, diagnosing configuration problems, ... Speaker: IEEE Fellow, Distinguished Visitor, and Past Program Director at the National Science Foundation (NSF), Prof. Krishna Kant Date: November 2, 2022, 9 AM (PT) Virtual Event via Zoom and YouTube live Free Registration: https://www.eventbrite.com/e/quantifying-configuration-health-of-software-systems-tickets-428096777987 Synopsis: Misconfigurations have been Achilles heel in complex software systems and are often responsible for  the downtimes and enablers of the cyber-attacks. With the recent rise of the devOps  paradigm, configuration changes have become even more frequent, sometimes, multiple times a day, thereby underscoring the importance of correct configuration. In this talk, the speaker will discuss the notion of configuration health index to provide an assessment of how well the system is configured with respect to various objectives and how it can be quantified based on a combination of domain knowledge and available data. Prof. Kant will also discuss the challenges in extracting and quantifying the domain knowledge and the selection of tests for diagnosing configuration problems. Speaker Biography: Krishna Kant is a professor in the Computer and Information Science Department at Temple University in Philadelphia, PA. Earlier he was a research professor in the Center for Secure Information Systems (CSIS) at George Mason University. From 2008-2013 he served as a program director at the National Science Foundation (NSF) where he managed the computer systems research (CSR) program and was instrumental in the development and running of an NSF-wide sustainability initiative called SEES (science, engineering, and education for sustainability). Earlier, he served at Intel Corporation for 11 years working on a variety of data center architecture and technology issues. From 1991 to 1997, he held the consultant position at Ericsson (formerly Bellcore) and worked on many broadband and narrowband telecommunications technologies. Before 1991, he was an Associate Professor of Computer Science at the Pennsylvania State University with research contributions in performance modeling and distributed systems. He received his Ph.D. degree in Mathematical Sciences from the University of Texas at Dallas in 1981. He carries extensive experience in academia, industry, and government and has published in a wide variety of areas in computer science. He has authored a graduate textbook on performance modeling of computer systems and coedited several other books.  He is a Fellow of the IEEE and an IEEE distinguished visitor.
Scheduled
#IEEEday Event 2: Exploring the math in Support Vector Machines Video: https://ieeetv.ieee.org/video/exploring-the-math-in-support-vector-machines …Lagrange Multipliers,  Convex Hulls, Orthogonal Functions, Hilbert Space, Duality, Cover Theorem, ... Speaker: Chapter Chair, Book Author, and SJSU Faculty Member, Vishnu S. Pendyala, PhD Date: October 4, 2022, 6:15 PM (PT) Virtual Event via Zoom and YouTube live Free Registration: https://www.eventbrite.com/e/exploring-the-math-in-support-vector-machines-tickets-425130124647 Synopsis: “SVMs are a rare example of a methodology where geometric intuition, elegant mathematics, theoretical guarantees, and practical algorithms meet” – Bennet and Campbell Support Vector Machines (SVMs) are used for supervised machine learning and have been successful in many applications including those like image classification that favor deep learning. SVM owes its power to the intriguing math involved in its fabrication. This talk will introduce SVM and cover some of that math. Topics covered will include constrained and unconstrained optimization, convexity, the general notion of a function space, minmax equilibrium, duality, Cover theorem, Kernels, and Mercer theorem. Speaker Biography: Dr. Vishnu S. Pendyala is a faculty member of the Department of Applied Data Science at San Jose State University and is the Chair of the IEEE Computer Society, Silicon Valley Chapter. He has over two decades of experience with software industry leaders like Cisco and Synopsys in the Silicon Valley, USA. During his recent 3-year term as an ACM Distinguished speaker and before that as a researcher and industry expert, he gave numerous (50+) invited talks. He holds MBA in Finance and PhD, MS, and BE degrees in Computer Engineering from US and Indian universities. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala’s book, “Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness” is catalogued by several libraries, including those of MIT, Stanford, CMU, and internationally. His edited books, “Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities” and "Machine Learning for Societal Improvement, Modernization, and Progress" are also well-received and are indexed by prominent libraries all over the world. Dr. Pendyala served on the Board of Directors, Silicon Valley Engineering Council during 2018-2019. He received the Ramanujan memorial gold medal at State Math Olympiad and has been a successful leader during his undergrad years. He also played an active role in Computer Society of India and was the Program Secretary for its annual national convention. Marquis Who's Who has selected Pendyala’s biography for inclusion in multiple of its publications for multiple years. Dr. Pendyala spends his fast-vanishing spare time volunteering and has been a reviewer / judge for competitions like the Grace Hopper Celebration of Women in Computing, state level DECA, science fairs and other STEAM events for the last several years. He has traveled widely, covering ~30 states in the US and 23 countries. He resorts to yoga, spirituality, and listening to music, to unwind and be himself.
Scheduled
Limitations of AI Systems with Respect to Explainability, Interpretability, Fairness, Ethics, and Causality -- domains, training, trust, predictability, explainable AI, research efforts ...
Scheduled
(on the Internet)

Access earlier videos, slides

Join our IEEE ListServ Dlist
You may join or leave our email distribution list


Congratulations, Paul Wesling!

IEEE Fellow and chapter volunteer, Paul Wesling receiving Special Appreciation Award for his contributions to the chapter.

Chapter Officers for 2025

Chair Vishnu S. Pendyala, PhD
Vice Chair Harsh Varshney
Secretary Rahul Raja
Treasurer Srinivas Vennepureddi

Congratulations, John Swan!

section-chapter-awards_2021 John Swan holds two awards. On the left is the Chapter Chair Special Award, for John’s many years supporting our chapter; with Paul Wesling, he took over an inactive group in 2010 and brought in new programs, and he has been a strong contributor since. On the right is an award to John from the SCV Section Chair. Congratulations! John is now getting involved with the Chicago Section, after his move.