Silicon Valley Engineering Council

Product Safety and Compliance Meetup
2025-11-11 19:00 - 19:45 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/507461
The Product Safety Engineering Society Bay Area Joint Section Chapter (SCV/SF/OEB) invites you to a virtual meetup of professionals interested in product safety and compliance. We will discuss the future of the chapter and plan future events.
Agenda:
– Business Meeting
– Plan future activity of the chapter
– New Officer Elections
Virtual: https://events.vtools.ieee.org/m/507461

Accelerating Startups to Put Enterprise GenAI Multi-Agent Systems in Production
2025-11-10 17:30 - 19:30 | Valley Research Park, 319 North Bernardo Ave, Mountain View, CA., Valley Research Park, 319 North Bernardo Ave, Mountain View, CA, United States
EVENT LOGISTICS
The event is hybrid. The audience can attend in Mountain View, CA or join on Zoom or YouTube
Valley Research Park (VRP)
319 North Bernardo Ave
Mountain View, CA 94043
From the locked front door, go to the right side of the building. The 2nd door will be open.
Agenda
(one hour earlier this time, for audience in other time zones)
5:30 people start to arrive, enjoy pizza and networking. Test your connection and chat.
6:00 SFBayACM introduces upcoming events and the speaker
6:00 speaker presentation starts
7:15 – 7:30 finish, depending on Q&A
TALK DESCRIPTION
– PROBLEM –
Key Challenges We Will Address for Different Audience Segments
1. Startups with Funding, or Looking for Execution Partners
You have a strong vertical application and early investment but now you need to grow quickly while focusing on your core value proposition. You may already have a prototype built from initial experimentation but face the challenge of evolving it into a secure, multi-tenant, enterprise grade GenAI platform that is compliant, transparent, explainable, and aligned with human values.
2. Mid Cap and Large Enterprises
Your teams have built GenAI prototypes yet struggle to solve real problems or get applications into production consistently. You want to identify and overcome the technical, operational, and organizational barriers that keep innovation from scaling.
3. Investors, VC’s and Venture Partners
You are assessing how to reduce costs and risks in your portfolio companies’ GenAI strategies. Understanding why 95 percent of projects fail, as reported in MIT’s State of AI in Business 2025, can help you guide founders toward sustainable and successful models.
4. Product and Engineering Leaders
You have ideas, and aim to design applications that surprise and delight customers by building intelligence that anticipates user intent, with a Do What I Mean (DWIM) design principle that separates great products from the rest.
5. Regulated Industry Executives
In sectors such as financial services, healthcare, or government, you must ensure AI systems are reliable, explainable, auditable, and fully compliant with evolving laws and governance standards while maintaining speed and innovation. You may also want to monitor your systems, to comply with various company or security policies.
Who Should Attend:
Startup founders, investors, product leaders, and enterprise innovators who want to understand what it really takes to design, build and scale GenAI systems that work in the real world.
– SOLUTION –-
This talk will answer problems listed above and more. The speaker will first dive into the MIT report, to better interpret the context of the survey. Lessons learned on how to help GenAI deployments succeed will be discussed.
Studies that review knowledge worker productivity gains will be reviewed.
The speaker will discuss an architecture for a flexible software accelerator framework that can meet the needs for successful GenAI deployments. The framework can be configured to support different applications to meet specific requirements, combining best-practice software components and design principles.
Given an accelerator software architecture with these layers:
Ccube’s Lumin Lab Accelerator software

IntelliConnect (to connect you to the intelligence of the text and data in your company) This lets users ask questions of your corporate knowledge, for example.
Guardiance (To provide text classifications to guard your company, support compliance and AI alignment)

Tools and software:

Microservices architecture
MCP integrations
Many file types and data sources (i.e. local, Google drive, Gmail, MongoDB)
Enterprise applications (i.e. SalesForce, Service Now)
GenAI personalization
workflow support (n8n, UiPath)

GenAI Tools:

Retrieval Augmented Generation (RAG) with Vector Databases, such as Weaviate or Pinecone
Use [Guardrails.ai](http://guardrails.ai) as a foundation for text classification. We built on top conditions, +/- examples per condition, Boolean combination of conditions into rules. Support many rule actions and rule testing.
Multi-Agent with: LangGraph, LangSmith
Make explicit the dialogue or work product (medium-term memory) that is passed between many agents and users. This work product is persisted over the employees development of a given task.
Logging channels: system level (tokens, LLM calls, costs, latency), user-agent level chat, agent & LLM thought traces. Scheming detection rules can monitor the thought traces.
Meaning Markers (auto tagging text with a hierarchy of tags using Named Entity Recognition (NER)
Design of Experiments (DoE) to optimize cost and accuracy by varying: prompts, tools, LLMs, embedding models and other architecture choices as they vary over different client requirements and data.

With the above accelerator software components, support a variety of vertical applications, based on the data loaded and configurations.
– RESULT –
The speaker will show a series of demos relating to financial services and healthcare, as examples of what can be done with such a framework.

Customer Support application covering portable computers and cell phones, using both internal trouble ticked data in SalesForce or ServiceNow, product manuals in PDF or web form and brand related support web sites.
A medical related demo, applying about ⅓ of the 150 or so rules needed to cover all of the HIPAA laws around confidential medical information.
A finance demo around investment advisors, insider trading or information leaking
The design of an upcoming larger demo, supporting questions over 3 years of S&P500 company data (annual reports, proxy reports, websites).

SPEAKER BIO
Greg Makowski, https://www.linkedin.com/in/GregMakowski has been training and deploying AI since 1992, has been growing Data Science Teams since 2010, has exited 4 startups and has 6 AI patents granted or in various stages. He is currently the Chief of Data Science at Ccube, leading GenAI/AI consulting and framework development for enterprise applications. See also: https://www.ccube.com/genai.
SPONSOR INFORMATION
From vision to execution, Ccube partners with forward-thinking clients to co-build Apps, Data, and GenAI solutions across industries. Ccube has 10+ service lines, 30+ happy clients, 90% client retention, and saved clients ~50% costs on average.
Ccube has Silicon Valley roots, deep expertise, customer first approach and leverages lean teams for onsite in US and offshore delivery teams in India.
Watch for us also on
https://www.ccube.com/
https://www.linkedin.com/company/ccube-inc/
https://aws.amazon.com/marketplace
As a way to “thank your sponsor”, Ccube invites you to share your contact info, and take a brief survey. A summary of the survey results will be shared at the event.
#ACM
#SFbayACM
#GenAI
#GenAIApplications
#EnterpriseApplications
#EnterpriseAIApplications
#EnterpriseGenAIApplications
#RAG
#RetrievalAugmentedGeneration
#Guardrails
#AIsafety
#GenAIcompliance
#Ccube
#LuminAILabs
#IntelliConnect
#Guardiance
Registration/tickets:
https://www.meetup.com/sf-bay-acm/events/311368675/

From Mg to Be: Rethinking P-Type Doping Strategies in Wide-Bandgap III-Nitrides
2025-11-07 11:45 - 13:15 | Virtual: https://events.vtools.ieee.org/m/502836
Achieving efficient p-type doping in gallium nitride (GaN) and its alloys remains one of the most critical challenges in realizing the full potential of III-nitride semiconductors for high-power electronics, deep-ultraviolet (DUV) optoelectronics, and quantum information technologies. While magnesium is the conventional acceptor dopant, its high ionization energy (≈0.22 eV in GaN and up to 0.6 eV in AlN) limits hole concentrations to below ~1% activation efficiency, constraining device performance.
Our recent work explores beryllium as an alternative acceptor in (Al,Ga)N, leveraging metal-organic chemical vapor deposition (MOCVD) to achieve high-quality, low-defect epitaxial growth. Through extensive photoluminescence and time-resolved spectroscopy studies of over fifty MOCVD grown Be-doped GaN samples, we identified the UVLBe ​ band at ~3.38 eV as a signature of a shallow Be-related acceptor with an ionization energy of ~113–114 meV — significantly shallower than Mg in GaN. Complementary theoretical studies support the assignment of this shallow state to the BeGa​ONBeGa​ complex, suggesting a pathway toward achieving p-type conductivity in AlGaN and even AlN alloys.
In recent limited MOCVD growth studies on co-doping with oxygen and Be, we have observed preliminary indications that oxygen incorporation can enhance the signature of the shallow Be acceptor, though further work is needed to fully establish the efficacy and stability of this co-doping strategy.
These results provide new insight into the nature of Be-related defects in GaN and AlGaN, and they highlight co-doping pathways as a promising route to overcome the long-standing bottleneck of achieving high hole concentrations.
When: Friday, November 7th, 2025 – 11:45AM to 1PM (PDT)
11:45AM – 12PM: Intro
12PM-12:45PM: Lecture
12:45PM-12:55PM: Q&A
1PM Adjourn
Bio:
Dr. F. Shadi Shahedipour-Sandvik is a Professor of Engineering at the State University of New York, where she leads research on wide bandgap III-nitride semiconductor materials and devices for applications in lighting, power electronics, sensing, and quantum information science. Her work spans two decades of innovation and pioneering work in (Al,In) GaN materials and device engineering, with contributions ranging from high-efficiency p-type doping techniques and defect engineering and characterization to novel photocathodes and betavoltaic devices. She has authored nearly 200 publications and delivered invited talks worldwide on growth, characterization, device physics with applications in emitters, power electronics, and detectors.
Shahedipour-Sandvik lab has been continuously funded by a variety of sources including NSF, ARL/ARO, DARPA, DOE, ARPA-E, NASA, and by industry.
She has advised more than a dozen Ph.D. students, many of whom now hold technical leadership positions in national labs, and industry.
She served as Editor-in-Chief of the Journal of Electronic Materials (2015–2024) and has been recognized with the SUNY Excellence in Research Award and the IBM Faculty Award, among other honors.
Virtual: https://events.vtools.ieee.org/m/502836

A Case Study on How to Use AI in Engineering Management
2025-11-06 18:30 - 20:00 | Room: 1302, Bldg: SCDI, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/512221
We will watch this 40-minute video, which describes how AI is revolutionizing engineering management and people development at one company. The talk explores the practical applications of AI for enhancing leadership capabilities, from conducting data-driven one-on-ones to delivering impactful feedback and effective performance reviews. It shows how AI can help identify performance patterns, prepare for difficult conversations, and generate meaningful insights for team development. Real-world examples and hands-on strategies are presented to illustrate the concepts. The presentation explores how combining AI with structured documentation methods can transform our management approaches.
The (https://www.youtube.com/watch?v=4D4pESKKiv8) is entitled: “Devoxx Greece 2025 – Engineering Management in the AI Era” by Dennis Nerush who is Director of AI Engineering at Elementor, with over 15 years of experience in development, management, and engineering leadership.
After watching the video, we will discuss how we think and feel about its contents. Join us to share your thoughts on how to use AI in engineering management. The goal is for us to walk away with actionable techniques to leverage AI in developing stronger engineering teams while maintaining authentic human connections.
[]
Parking info:
(1) There are some 2-hour and some 4-hour parking spaces on Benton / Sherman and Franklin streets.
(2) There are a number of 2-hour parking spaces next to Bank of America / Starbucks and they are usually not crowded on weeknights. You have to walk across El-Camino traffic light pedestrian crossing. If you get there at 6:20 PM you can park until 8:20PM.
(3) Enter at the door of the Sobrato building colored in YELLOW.
Room: 1302, Bldg: SCDI, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/512221

IEEE x Leonis Capital AI Safety Mixer
2025-11-06 17:30 - 20:00 | Room: Suite 500, 300 Grant Ave , San Francisco, California, United States, 94108
Join us for an evening of AI safety talks and conversations, and get to know researchers and practitioners working on some of the most important safety challenges of our time! The(https://www.linkedin.com/company/sfcomputersociety/) and (https://www.leoniscap.com/) are throwing a mixer at the Hanwha AI Center in downtown SF.
​Whether you're deep in safety research, building enterprise safeguards, or thinking about safety-related startups ideas, come hang out. We'll have drinks and bites while you chat with researchers, founders, and others who spend their days figuring out how to make advanced AI systems actually safe and beneficial.
Our co-host ​(https://www.leoniscap.com/) is a research-driven VC fund based in Silicon Valley. We invest in Seed and Pre-Seed stage companies building AI-native products.
Planned Agenda
–
​5:30 Open Doors + Networking
–
​6:00 Talk 1: (https://www.linkedin.com/in/billstout/) (Technical Director AI Product Safety, (https://www.linkedin.com/company/servicenow/)) – A layered Enterprise Architecture approach to AI Red Teaming and ownership
–
​6:20 Talk 2: (https://www.linkedin.com/in/bbartoldson/) (Researcher, (https://www.linkedin.com/company/lawrence-livermore-national-laboratory/)) – AI Safety at Scale
–
​6:40 Talk 3: (https://www.linkedin.com/in/fadyyanni/) (Co-Founder, (https://www.linkedin.com/company/hackapromptle/)) – Prompt injection risk landscape
–
​7:00 Panel: (https://www.linkedin.com/in/sinharanjan/) (Fellow & CTO, (https://www.linkedin.com/company/ibm/), Enterprise AI and Data) – Operationalizing AI Safety
–
​7:30 Networking + Mixer
See talk details on (https://luma.com/ksfp5s1t)
Speaker(s): Bill Stout, Brian Bartoldson, Fady Yanni
Room: Suite 500, 300 Grant Ave , San Francisco, California, United States, 94108

Prescriptive Maintenance in Semiconductor Manufacturing: A Shift from Reactive to Intelligent Systems
2025-11-04 18:00 - 20:00 | Room: SCDI 4010, Bldg: Sobrato Campus for Discovery and Innovation, Santa Clara University, 500 El Camino Real, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/506966
Abstract:
Semiconductor Tool maintenance is a complex task due to process complexity, process integration challenges, and customer requirements. Historically, maintenance strategies have been reactive due to these complexities. Applied Materials has been focused on moving from a generally reactive method of reacting to tool issues to prescriptive methods of maintaining process equipment. This migration is through a combination of advanced anomaly detection techniques which provide low false positives, methods of translating fail modes into Reactive Useful Life estimates and ultimately prescribing solutions to issues in advance using Generative Artificial Intelligence. This discussion will cover some of the challenges and solutions to this framework.
Speaker(s): Mike,
Agenda:
6:00 – 6:30 – Networking and light dinner (for in person attendees)
6:30 – 7:30 – Talk and Q & A
7:30 – 8:00 – Wrap up and Networking
Room: SCDI 4010, Bldg: Sobrato Campus for Discovery and Innovation, Santa Clara University, 500 El Camino Real, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/506966

2025 Silicon Valley Area Workshop on EMC Design of High-Speed Systems (PAID) + FREE Exhibits + FREE TC10 on Signal and Power Integrity mtg
2025-11-04 08:30 - 15:30 | Bldg: 5, 2655 Seely Ave., San Jose, California, United States, 95134
IEEE EMC Chapter is sponsoring the event but no monetary gain is gained or funded by the chapter.
Location: Cadence Design Systems, Bldg 5, 2655 Seely Ave., San Jose, CA
Registration link will bring you to the options of the Paid workshop but also to the Free Exhibit/TC events
2025 Silicon Valley Area Workshop on EMC Design of High-Speed Systems workshop with Free Exhibit and Free IEEE EMC Technical Committee 10 on Signal and Power Integrity meeting. For more details on the specific agenda including abstract and speakers' bio, go to https://drive.google.com/file/d/1oHHiBJtyebP1JgqafZF65pR9A0y145uA/view?usp=sharing
Agenda:
Agenda
Table-top Vendor Exhibit in Lobby from 10:20 AM – 2:25 PM
Vendors are still signing up and already include Rohde and Schwarz, PCB Automation, Nexperia, Cadence Design Systems, PacketMicro, and Clear Signal Solutions
8:30 AM Light breakfast and registration
9:00 AM Welcome remarks and introductions Electromagnetic Compatibility
9:10 AM EMC Applications of 3D Printable Materials
Dr. Victor Khilkevich, Missouri Univ. of Sci. and Tech.
9:45 AM Model-based EMC Analysis and Diagnosis towards Design-for-EMC
Dr. Dipanjan Gope, SimYog Technology and Indian Institute of Science
10:20 AM Break and vendor table-top show
10:45 AM Modeling ESD Protection for High-Speed Applications
Dr. Daryl Beetner, Missouri Univ. of Sci. and Tech.
11:20 AM Round Table Discussion – Future directions and challenges in EMC
11:50 AM Lunch
12:50 PM Challenges and Opportunity for Data Center Generation and Distributions
Dr. Zhiping Yang, PCB Automation
1:25 PM Machine Learning-Assisted Power Delivery Network Design
Dr. Chulsoon Hwang, Missouri Univ. of Sci. and Tech.
2:00 PM Break and vendor table-top show
2:25 PM Challenges with next generation interconnect solutions
Stephen Scearce, Amphenol
3:00 PM Round Table Discussion – Future directions and challenges in SIPI for High-
Speed Systems
3:30 PM Happy Hour sponsored by Cadence Design Systems
IEEE EMC Mini Seminar-Paper Series Sponsored by IEEE EMC Society Technical
Committee 10 on Signal and Power Integrity
Speakers and papers to be announced. Session will include re-presentation of some
of the best SI/PI papers from recent conferences.
4:00 PM End of program
Bldg: 5, 2655 Seely Ave., San Jose, California, United States, 95134

High Performance Inferencing for LLMs
2025-11-01 09:00 - 10:30 | Virtual: https://events.vtools.ieee.org/m/508671
Inferencing has become ubiquitous across cloud, regional, edge, and device environments, powering a wide spectrum of AI use cases spanning vision, language, and traditional machine learning applications. In recent years, Large Language Models (LLMs), initially developed for natural language tasks, have expanded to multimodal applications including vision speech, reasoning and planning each demanding distinct service-level objectives (SLOs). Achieving high-performance inferencing for such diverse workloads requires both model-level and system-level optimizations.
This talk focuses on system-level optimization techniques that maximize token throughput and minimize cost per token, maintaining achieve meeting user experience metrics and inference service-provider efficiency. We review several recent innovations including KV caching, Paged/Flash/Radix Attention, Speculative Decoding, and KV Routing, and explain how these mechanisms enhance performance by reducing latency, memory footprint, and compute overhead. These techniques are implemented in leading open-source inference frameworks such as vLLM, SGLang, Hugging Face TGI, and NVIDIA NIM, which form the backbone of large-scale public and private LLM serving platforms.
The use of GPU Training, Inference and Analysis clusters with Multi-Instance-GPU's (MIG), and Federated Models with QML applications is now become practical.
Attendees will gain a practical understanding of the challenges in delivering scalable, low-latency LLM inference, and of the architectural and algorithmic innovations driving next-generation high-performance inference systems.
Co-sponsored by: eMerging Open Tech Foundation
Speaker(s): Ravishankar,
Agenda:
– Introduction to INGR with AIML & QIT working groups (Baw Chng + Prakash Ramchandran) – 10 mts
– High Performance Inferencing for LLMs – By Dr. Ravishankar Ravindran ( Tech. Director eOTF – Advisory) -60 mts
– Q&A – 20 mts
Virtual: https://events.vtools.ieee.org/m/508671

Energy & Climate Research for a Better Environmental Future
2025-10-30 17:30 - 19:00 | Virtual: https://events.vtools.ieee.org/m/510539
“Energy & Climate Research for a Better Environmental Future”
With Dr. Evelyn Wang, Vice President of Energy and Climate at MIT
Former Director of ARPA-E
Sponsored by (https://www.mitcnc.org/events/134583)
cohosted by (https://r6.ieee.org/scv-pesias/), (https://r6.ieee.org/scv-lm/)
See our chapter event page for a detailed description and promotion code for IEEE discount:
Chapter Page: https://r6.ieee.org/scv-pesias/event/energy-climate-research-for-a-better-environmental-future/
Or go directly to the MITCNC page without the IEEE discount:
Reservation URL: https://www.mitcnc.org/events/134583
Co-sponsored by: MIT Club of Northern California
Speaker(s): Dr. Evelyn Wang, Ray Rothrock
Agenda:
Date: 30 October 2025
Time: 5:30 to 7:00 PM PST
Cost: No cost for first 10 IEEE members who register
RSVP: [](https://www.mitcnc.org/events/134583)
Virtual: https://events.vtools.ieee.org/m/510539

Introduction to Latest Concepts in mmWave Automotive Radar Signal Processing
2025-10-29 18:30 - 20:00 | South Bay (TBD), California, United States, Virtual: https://events.vtools.ieee.org/m/506686
In-person networking starts at 6:30PM
Talk: 7:00 PM to 8:00PM
Abstract: In this talk, audience will be introduced to the fundamentals and the latest technology concepts of automotive millimeter wave 4D imaging radar which has become an essential part of the autonomous vehicles. An overview of key signal processing challenges, such as MIMO waveform processing and sparse array angle estimation, among others, will also be discussed.
Speaker(s): Ryan Wu,
South Bay (TBD), California, United States, Virtual: https://events.vtools.ieee.org/m/506686

SIXTH ANNUAL LOS ANGELES IEEE COASTAL LOS ANGELES COMPUTER SOCIETY CYBER SECURITY SUMMIT 2025-SOUTH BAY
2025-10-25 09:00 - 12:30 | Virtual: https://events.vtools.ieee.org/m/497356
[]
CYBERSECURITY AWARENESS MONTH
Cybersecurity Starts with You: Protect, Prevent, Prevail
Since 2004, the President of the United States and Congress have declared October to be Cybersecurity Awareness Month. Cyber-attacks on corporations, governmental agencies and individuals are becoming increasingly widespread and regular, as well as more complex. The Virtual Sixth Annual Los Angeles IEEE Coastal Los Angeles Computer Society Cybersecurity Summit-South Bay that brings together government officials, private business executives and cybersecurity experts to discuss the current and emerging threats that exist in today’s sophisticated cyber environment, and the technological advancements being made to countermeasure and manage these risks.
(https://www.computer.org/) (https://www.csudh.edu/) (https://www.waseda.jp/top/)(https://www.nubroad.com/)(https://www.isi.edu/) (https://www.ucla.edu/)
(https://www.stmarytx.edu/) (https://www.scu.edu/) (https://www.linkedin.com/company/immuniweb/) (https://aileap.tech/)https://www.linkedin.com/company/ieee-computer-society-in-san-antonio?lipi=urn%3Ali%3Apage%3Ad_flagship3_messaging_conversation_detail%3B9%2FFvMWdzSWKmSnQdGt1wfQ%3D%3D
Resources for Cyber Security Awareness:
Think Before You Click: Your Digital Life Depends on It
(https://www.dhs.gov/topic/cybersecurity)
(https://www.us-cert.gov/ncas/tips)
(https://staysafeonline.org/)
(https://www.dhs.gov/national-cyber-security-awareness-month)
– (http://www.afcea.org/site/sites/default/files/files/AFC_WhitePaper2015_R3_SPREADS_lowres.pdf)
Co-sponsored by: Dr. Mehrdad Sharbaf
Agenda:
Please Join us virtually for The Sixth Annual Los Angeles IEEE CLAS Computer Society Cybersecurity Summit-South Bay
Secure Together: Building a Safer Digital World
Welcome Keynote Message Time: 9:00 am
Dr. Mehrdad S. Sharbaf, IEEE Coastal Los Angeles Computer Society- Chair, Founder & CEO, Sharbaf and Associates LLC/Adjunct Professor CSUDH
(https://www.linkedin.com/in/mehrdad-s-sharbaf-30a23214/)
Welcome Keynote Remark Message
Distinguished Guest Speaker Professor, Head of Department, Associate Dean, Waseda University, and IEEE Computer Society Elected President 2025, Hironori Washizaki, Time 9:15 am
(https://www.linkedin.com/in/hironori-washizaki-aa085184/)
Distinguished Guest Speaker Dr. Chris Mattman, Chief Data and Artificial Intelligence Officer, UCLA, Time 9:30 am
(https://www.linkedin.com/in/chrismattmann/)
Distinguished Guest Speaker Dipti Srivastava, VP/Director Engineering, Nubroad LLC, Time 10:00 am
(https://www.linkedin.com/in/diptishrivastav/)
Distinguished Guest Speaker Terry Benzel, Managing Director, USC Information Sciences Institute, Former Director, Networking and Cybersecurity Division at USC Information Sciences Institute, IEEE Fellow, Time 10:30 am
(https://www.linkedin.com/in/terry-benzel-74818/)
Distinguished Guest Speaker Malek Ben Salem, Ph.D., Founder & CEO, AILeap, Time 11:00 am
(https://www.linkedin.com/in/malek-ben-salem/)
Distinguished Guest Speaker Dr. Cyril Onwubiko, Business Information Security Officer at Barclays | Board Member, IEEE Computer Society Time 11:30am
(https://www.linkedin.com/in/cyrilonwubiko/)
Distinguished Guest Speaker Ilia Kolochenko, PhD., CEO at ImmuniWeb | Attorney-at-Law | Adjunct Professor of Cyber Law & Cybersecurity, Time 12:00pm
(https://www.linkedin.com/in/kolochenko/)
Adjourn at 12:30pm
Please Join IEEE Computer Society
Build your technical skills, discover new opportunities, and connect to a global community of technologists.
(https://www.computer.org/membership)
Virtual: https://events.vtools.ieee.org/m/497356

Lecture#2: DEVICE INFORMATICS - applications in Public Health
2025-10-24 14:00 - 16:00 | Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507676
We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see:
– (https://www.tableau.com/data-insights/ai/history)
– (https://en.wikipedia.org/wiki/Logic_Theorist)
What has changed, though, in recent times, is the amount of computation that can be performed. GPUs have made tremendous progress, and it is now possible to do heavy computation with very large amount of memory in real time.
The terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided, or one needs enhanced or use better tools.
Neural networks are normally used to perform AI calculations: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works.
We will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used.
We will go over some caution around data analysis and what to watch out for when using AI.
Speaker(s): Dr Md Usman
Agenda:
– 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction
– 14:10 to 14:20 PM : Introduction by Gora Datta, FHL7
– 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman
– The difference between AI and ML,
– Biological basis of some AI networks,
– Basics of how an AI model is trained and what does it mean,
– Advantages and disadvantages of using AI – why should we use it, and what does it measure anyways?
– What are large language models (LLM), and their usefulness in medicine,
– Will understand some examples of using AI, and
– Know when to use AI for health measurements.
– 15:55 to 16:00 PM : Wrap Up
Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507676

Women in Data Science at IBM
2025-10-24 09:00 - 16:00
Women in Data Science at IBM is taking place at IBM’s Silicon Valley Lab in San Jose on Friday, October 24th. This regional Women in Data Science (WiDS) event is part of a global non-profit initiative that celebrates women’s achievements and inspires others. The event is free and open to all, aiming to educate, connect, and empower our broader community.  This year’s event features inspiring talks from industry leaders on AI, ethics, and data science. In-person attendees also get exclusive access to hands-on workshops with IBM Granite and Docling, networking opportunities, and a new volunteer activity to support breast cancer survivors.
Now in its third year, our WiDS at IBM event has welcomed over 300 in-person and 250 virtual attendees. Past speakers have included exceptional women from organizations such as OpenAI, Nvidia, Netflix, the government and more. Here is a recap of the event from 2024 and 2023.
SPEAKERS
🎙️Executive welcome
Priya Srinivasan, General Manager, IBM Software Products (Core & ALM), Software Support & SRE
​​🎙️Storytelling with Agentic AI
Rynne Whitnah, Senior Ecosystem Engineer/Developer Relations, IBM
​🎙️Logs Are All You Need
Sam Zeitlin, Founder and Owner, Radically Different Data Science
​🎙️What’s Next for AI Agents?
Shelby Heinecke, Senior AI Research Manager, Salesforce
🎙️The Rise of Meeting Intelligence
Shruti Bhutaiya, Senior Machine Learning Engineer, ServiceNow​
🎙️Beyond Obedience: What Building AI Teaches Us About Courage
Anjali Samani, Senior Director of Data Science and AI Engineering, Salesforce
​🎙️Ethics in Action: A Practical Toolkit to Build Ethical Tech
Manuela Travaglianti, Project lead – Ethics Toolkit, Stanford University’s McCoy Family Center for Ethics in Society
🎙️Analytics in Motion: Meeting Diverse Needs in a Fast-Changing Environment
Cordelia Radin, Vehicle Performance Analyst, BART
🎙️From Imposter Syndrome to Influence: Finding My Voice in Data Science
Sravya Madipalli, Senior Manager of Data Science, Grammarly
🎙️Closing remarks
Suja Viswesan, Vice President, Security and Runtime Products, IBM
TENTATIVE AGENDA
• 9:00am – 9:30am: Registration & Networking
• 9:30am – 12:00pm: Workshops
• 12:00pm – 1:00pm: Lunch, Networking & Volunteering
• 1:00pm – 3:30pm: Talks
• 3:30pm onwards: Networking
Registration: https://luma.com/mm01kuy9

The New Role of Solder Joints for AI and HPC Interconnects
2025-10-23 12:00 - 13:00 | Virtual: https://events.vtools.ieee.org/m/501073
[](to be provided — please check back)
Speaker(s): Tae-Kyu Lee,
Virtual: https://events.vtools.ieee.org/m/501073

Tech Talks: Prompt Engineering Toolkit & AI-Driven Database Administration
2025-10-22 19:00 - 20:00 | Virtual: https://events.vtools.ieee.org/m/505567
The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):
First Speaker: Praveen Gupta ((https://www.linkedin.com/in/guptapraveen2/))
Title: Prompt Engineering Toolkit: Building with LLMs at Scale
Abstract: The Prompt Engineering Toolkit offers a solution, providing a comprehensive framework for authoring, testing, and evaluating prompts. This approach enables the easy creation, testing, sharing, and dynamic customization of prompts, supporting collaboration and utilizing evaluation methods like LLM as Judge and Human-in-the-loop to ensure prompt quality and monitor performance at scale.
Bio: Praveen Gupta is a Senior Software Engineer at Uber with over 17 years of experience building transformative products that scale to millions of users worldwide. At Uber, he leads the design and implementation of scalable systems, including initiatives for the Autonomous Vehicle Support platform in collaboration with multiple AV providers.
Previously, Praveen spearheaded the development of Adobe Marketo Data Streams, a product now used by enterprise leaders such as Google, Amazon, and Microsoft ((https://blog.developer.adobe.com/introducing-the-adobe-marketo-engage-data-streams-61198b567fbb)). Earlier in his career at Thomson Reuters, he helped build a cloud-based tax platform that transformed the indirect tax domain ((https://tax.thomsonreuters.com/en/insights/white-papers/how-the-cloud-beats-on-premise-tax-tech)).
Second Speaker: Venkata Keerthi Singamreddy ((https://linkedin.com/in/venkata-keerthi-singamreddy-a950ba32))
Title: AI-Driven Database Administration and Performance Optimization with Oracle 23ai
Abstract: Managing modern enterprise databases is becoming more challenging as workloads grow, applications demand real-time responses, and security threats evolve. Traditional database administration often relies on manual tuning, reactive troubleshooting, and repetitive maintenance, which can be time-consuming and error prone. Oracle Database 23ai introduces a new era of AI-powered administration, designed to automate these tasks and help DBAs stay ahead of performance and security challenges. With capabilities such as AI Vector Search, automatic workload prediction and resource optimization, intelligent indexing, and the built-in SQL Firewall, Oracle 23ai enables databases to self-tune, detect anomalies in real time, and deliver faster, more reliable performance. This session will cover the common pain points DBAs face today, and how Oracle 23ai addresses them with automation and predictive intelligence. Real-world use cases and performance benchmarks will be highlighted to show measurable improvements in query response times, resource efficiency, and uptime. The talk will also explore how the DBA role is evolving, shifting from routine maintenance to strategic focus on architecture, governance, and innovation. Finally, we will discuss best practices for adoption and provide a glimpse into the future of AI-driven database management, where systems self-optimize with minimal human effort.
Bio: Oracle Certified Associate with over 14 years of technical experience as Oracle Database Administrator providing 24/7 support for mission-critical OLTP production systems, development environments, and enterprise implementations. Expertise in database installations, upgrades, migrations, patching, cloning, and performance tuning across Oracle versions from 10g to 19c on multiple UNIX and Linux platforms. Have deep knowledge of high-availability solutions such as Oracle RAC and Data Guard, as well as replication and integration technologies including GoldenGate and Exadata. Proficient in Oracle Enterprise Manager (OEM) 12c/13c, RMAN cloning, and ZDLRA backup solutions. Skilled in diagnosing and resolving performance issues, optimizing large-scale database systems, and automating database tasks using Shell scripting and Ansible. Passionate about the future of AI-driven database solutions and focuses on bridging traditional DBA practices with emerging technologies like Oracle 23ai, enabling organizations to achieve smarter, faster, and more secure database management.
Speaker(s): Praveen Gupta, Venkata Keerthi Singamreddy
Virtual: https://events.vtools.ieee.org/m/505567

Securing Agentic AI: From Security Risks to Practical Defenses for Autonomous Systems
2025-10-22 17:15 - 18:15 | Room: MLK Room 225, Dr. Martin Luther King, Jr. Library (SJSU), 150 E San Fernando St San Jose, California 95112, San Jose, California, United States, Virtual: https://events.vtools.ieee.org/m/501651
Agentic AI systems combine autonomy with real-world tool use, offering transformative potential but also introducing novel risks. This talk will introduce agentic AI and outline key vulnerabilities, including jailbreaks, tool hijacking, model misuse, and indirect exploitation through prompt injection. It will then focus on security risks associated with the Model Context Protocol (MCP) and conclude with mitigation strategies and practical defenses to enhance the safety of autonomous AI systems in real-world deployments.
Co-sponsored by: Vishnu S. Pendyala, San Jose State University
Speaker(s): Dewank, Dr. Vishnu S. Pendyala
Room: MLK Room 225, Dr. Martin Luther King, Jr. Library (SJSU), 150 E San Fernando St San Jose, California 95112, San Jose, California, United States, Virtual: https://events.vtools.ieee.org/m/501651

General Meeting
2025-10-21 13:30 - 14:50, 2025-10-14 13:30 - 14:50 | Room: 125, Bldg: Glacier, 5200 Lake Rd, Merced, California, United States, 95343
General meetings consist of:
1. Updates on IEEE at UCM Activities.
2. Opportunities from IEEE and UC Merced (internships, workshops, networking, etc.)
3. Icebreaker.
4. Project updates (Humanoid Robot, Micromouse, Internation Future Energy Competition).
Agenda:
Meeting slides are available upon request as a BOX link.
Room: 125, Bldg: Glacier, 5200 Lake Rd, Merced, California, United States, 95343

Lecture#1: DEVICE INFORMATICS - applications in Public Health
2025-10-17 14:00 - 16:00 | Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507631
We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see:
– (https://www.tableau.com/data-insights/ai/history)
– (https://en.wikipedia.org/wiki/Logic_Theorist)
What has changed, though, in recent times, is the amount of computation that can be performed. GPUs have made tremendous progress, and it is now possible to do heavy computation with very large amount of memory in real time.
The terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided, or one needs enhanced or use better tools.
Neural networks are normally used to perform AI calculations: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works.
We will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used.
We will go over some caution around data analysis and what to watch out for when using AI.
Speaker(s): Dr Md Usman
Agenda:
– 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction
– 14:10 to 14:20 PM : Introduction by Gora Datta, FHL7
– 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman
– The difference between AI and ML,
– Biological basis of some AI networks,
– Basics of how an AI model is trained and what does it mean,
– Advantages and disadvantages of using AI – why should we use it, and what does it measure anyways?
– What are large language models (LLM), and their usefulness in medicine,
– Will understand some examples of using AI, and
– Know when to use AI for health measurements.
– 15:55 to 16:00 PM : Wrap Up
Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507631

AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations
2025-10-16 17:30 - 19:00 | Room: 101/101A EE, Bldg: Packard , 350 JANE STANFORD WAY, STANFORD, California, United States
AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations
IEEE SSCS Distinguished Lecturer Prof. Vanessa Chen
Abstract: AI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and generative models to improve circuit robustness and adaptability. RL-based self-healing techniques leverage embedded electromagnetic sensors for real-time monitoring and dynamic fault recovery, while generative models accelerate design space exploration, enabling resilient and efficient circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amplifiers, PMICs, and multispectral sensors that enhance performance and reliability in harsh environments.
Speaker biography: Vanessa Chen earned her Ph.D. in electrical and computer engineering from Carnegie Mellon University in 2013. Before joining Carnegie Mellon University, she was affiliated with The Ohio State University. During her doctoral studies at Carnegie Mellon from 2010 to 2013, she conducted research on algorithm-assisted approaches for improving energy efficiency and ultra-high-speed ADCs with on-chip real-time calibration, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia, she held positions as a circuit designer at Qualcomm in San Diego and Realtek, Hsinchu, Taiwan, focusing on self-healing RF/Mixed-signal circuits. Her research focuses on AI-enhanced circuits and systems, which include intelligent sensory interfaces, RF/mixed-signal hardware security, and ubiquitous sensing and computing systems. Dr. Chen has received the NSF CAREER Award in 2019. She has been involved in various technical program committees, including ISSCC, VLSI, CICC, A-SSCC, and DAC. She also has served as an Associate Editor for several IEEE journals, including TCAS-I, TBioCAS, and OJCAS. Additionally, she has contributed as a Guest Editor for TCAS-II and ACM JETC. She is currently an IEEE SSCS Distinguished Lecturer in 2025/2026.
Please register to allow for proper planning.
Agenda:
5:30pm: Networking
6:00pm: Talk
7:00pm: Event ends
Room: 101/101A EE, Bldg: Packard , 350 JANE STANFORD WAY, STANFORD, California, United States

Brain Machine Interface: Challenges and Opportunities
2025-10-16 12:00 - 13:00 | Virtual: https://events.vtools.ieee.org/m/490922
Title: Brain Machine Interface: Challenges and Opportunities
Date/Time: (PST)- 12:00pm to 1:00pm Thu, Oct 16 2025
Abstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk, we will delve into specific challenges and approaches to achieve intended targets.
Speaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690
(https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e)
https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e
Meeting number:(callto:2539 584 0339)Meeting password:[REDACTED]
Join from a video system or application
Dial 25395840339@ieeemeetings.webex.com
You can also dial (callto:173.243.2.68) and enter your meeting number. To dial from an IEEE Video Conference System: *(callto:1 2539 584 0339)
Tap to join from a mobile device (attendees only)
+1-415-655-0002,,25395840339## United States Toll
1-855-282-6330,,25395840339## United States Toll Free
Virtual: https://events.vtools.ieee.org/m/490922

Next Generation Two-photon 3D Printing Technologies
2025-10-16 11:30 - 13:15 | Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051
Next Generation Two-photon 3D Printing Technologies
[]
Abstract:
Utilizing a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion
[]
[]Speaker:
Dr. Xiaoxing Xia
Staff Scientist
Lawrence Livermore National Lab
Xiaoxing Xia is a staff scientist at the Lawrence Livermore National Laboratory, California, USA.
He leads projects in developing next generation two-photon 3D printing technologies to achieve higher throughput, finer resolution, and multi-materials printing capability.
His team utilizes a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion.
He received his PhD in Materials Science from California Institute of Technology and BA in Physics from University of Chicago.
AGENDA:
Thursday October 16, 2025
11:30 AM: Networking, Pizza & Drinks
Noon — 1 pm: Seminar
Please register on Eventbrite before 9:30 AM on Thursday October 16, 2025
$4 IEEE members $6 non IEEE members
(discounts for unemployed and students )
See examplesAdd
Co-sponsored by: 636940-Santa Clara Valley Section Chapter,EMB18
Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051

VENDOR TABLE for Grounding and Ground Fault Protection Seminar
2025-10-16 07:00 - 17:00 | DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588
*****This vTools link is for purchase of Vendor Tables ONLY! No walk-in registrations.*****
(Limit of 10 vendor tables so do not delay!)
This one-day Technical Seminar will cover the fundamentals of grounding, bonding, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full).
Please join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company), ETAP, NEMA, Cummins, SEL, and PG&E. Seminar topics will include:
– Electrical Grounding Systems – An Overview
– Ground Grid Design and Electric Shock Protection
– Grounding Electrode Systems and Service Grounding
– Grounding Recommendations for On-Site Power Systems
– Generator Stator Ground Fault Protection
– Distribution Feeder High Impedance Ground Fault Testing, Findings, and Mitigation Strategies
Plan to attend this timely, educational Seminar. Registration is now open!
Speaker(s): Steve Park, Dr. Haijun Liu, Mike Stone, Shen Yoon, Rogerio Scharlach, James Tuccillo
Agenda:
8:00AM-4:30PM (sign-in opens at 7:15AM)
*****Vendors should be set up and ready by 7:15AM.*****
DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588

Grounding and Ground Fault Protection Seminar
2025-10-16 07:00 - 17:00 | DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588
This one-day Technical Seminar will cover the fundamentals of grounding, bonding, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full).
Please join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company), ETAP, NEMA, Cummins, SEL, and PG&E. Seminar topics will include:
– Electrical Grounding Systems – An Overview
– Ground Grid Design and Electric Shock Protection
– Grounding Electrode Systems and Service Grounding
– Grounding Recommendations for On-Site Power Systems
– Generator Stator Ground Fault Protection
– Distribution Feeder High Impedance Ground Fault Testing, Findings, and Mitigation Strategies
Plan to attend this timely, educational Seminar. Registration is now open!
***** Early-Bird registration closes on June 26, don’t delay!*****
(Registration is limited to 100 attendees and must be completed on vTools. No walk-in registrations.)
Speaker(s): Steve Park, Dr. Haijun Liu, Mike Stone, Shen Yoon, Rogerio Scharlach, James Tuccillo
Agenda:
8:00AM-4:30PM (sign-in opens at 7:15AM)
DoubleTree by Hilton Hotel Pleasanton at The Club, 7050 Johnson Drive, Pleasanton, California, United States, 94588

Quarterly Social Meeting and Program
2025-10-15 11:00 - 14:00 | Bldg: Golf course retaurant, not pro shop, Beebs Sports Bar & Grill, 915 Club House Drive, Liveermore, California, United States, 94551
The members of the Oakland/EastBay Life Members Affiliate Group Executive Committee hope your summer has gone well and look forward to seeing you again at our next meeting. The last meeting in July was full of energy and we hope that will continue. In line with our revised concept of pre-scheduling quarterly meetings on fixed dates, the next meeting will be October 15th at Beeb's in Livermore from 11 am to 2 pm. At this time no speaker has been identified but there will be a meeting either with a speaker to be identified later, or a self-moderated discussion on topics of current interest to the members. We are announcing the date now so you can reserve the date if so interested. If a speaker is identified this event description will be updated.
Agenda:
Presentations, discussions, and lunch. Buffet or order from menu depending upon attendance. IEEE Member feee is susidized.
Bldg: Golf course retaurant, not pro shop, Beebs Sports Bar & Grill, 915 Club House Drive, Liveermore, California, United States, 94551

3D Modeling for Cardiac Surgical Planning
2025-10-14 19:00 - 21:00 | 567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/497126
This is a hybrid in-person and online event. Pre-registration is required for either.
Medical image-based modeling and digital twins have emerged as powerful tools to support patient-specific cardiac surgical planning in adults and children. This presentation will discuss 3D modeling techniques that provide a complete pipeline from medical image segmentation to 3D anatomic models and blood flow simulations. The technology that makes this possible was recently extended to model the whole heart, including blood flow, tissue mechanics, electrophysiology, cardiac contraction, and heart valves.
This presentation will also discuss recent applications of tools for clinical decision support. A first example is in adult cardiac surgery, where patient-specific modeling has been applied for vein graft failure prevention after coronary bypass graft surgery. Another example is in pediatric cardiac surgery where models have been used for clinical decision support in valve repair, flow re-direction, and bi-ventricular reconstruction. The program will conclude with a discussion of the open-source software and data resources that are available via the (https://simvascular.github.io/) and the (https://www.vascularmodel.com/).
Speaker(s): Alison Marsden,
567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/497126

Analog and Mixed Signal Circuits and Systems for Emerging Applications
2025-10-13 10:40 - 23:45 | Room, 192 California Ave, Santa Cruz, CA, United States
Abstract
Quantum Computing, having the ability to exponentially enhance the raw computing power, and Artificial Intelligence (AI), having the ability to impart unprecedented intelligence to connected devices through algorithms that learn, are the two key technologies of the 21st century. Although novel devices can significantly advance the field of quantum computing, conventional CMOS based analog and mixed signal circuits can enable quantum computing using classical op amp based circuits. AI algorithms on the other hand are tolerant to errors in computation, thereby enabling approximate and low-precision computing which has resulted in the resurrection of more than half-a-century old analog computing.
This talk would present various analog computing techniques that could enable AI algorithms or more specifically machine learning (ML) algorithms. The talk could also delve into mixed-sginal computing where it will dive into the details of in-memory computing as well as adoption of novel memory devices, viz., memristors, to enable energy efficient computing. The talk would also present some classical analog hardware for emulating quantum algorithms, like Grover's search algorithm, for quantum computing systems.
Speaker(s): , Bibhu
Agenda:
Date and Time
Date: Monday, October 13
Time: 10:40 AM – 11:45 AM
Location
Place: E2-192, UC Santa Cruz
Santa Cruz, California, USA
Room: 192, Bldg: E2, University of California, Santa Cruz, Santa Cruz, California, United States

IEEE Day: AI Insights Summit
2025-10-11 09:00 - 13:00 | Virtual: https://events.vtools.ieee.org/m/501645
Join Us for a virtual summit on AI, its applications, and responsible use of AI.
This is a virtual event, in collaboration with IEEE Ambassadors in IEEE Region 6, from Santa Clara Valley, Sacramento, Oakland East Bay, and Seattle.
Speaker(s): Antony, Gopi, Surendra
Agenda:
9:00 – 9:30 AM: Ice-breaking session
9:45 – 10:30 AM: Introduction to IEEE membership and benefits
Learn about IEEE's mission, networking opportunities, and professional resources.
10:30 – 10:45 AM: Break
10:45 – 11:30 AM: Step into AI Era (technical session)
Dive into emerging AI technologies, applications, and industry impact.
11:30 AM – 12:15 PM: Ethics in AI (non-technical session)
Discuss responsible AI use, societal implications, and ethical frameworks.
12:15 – 1:00 PM: Q&A and Networking
Virtual: https://events.vtools.ieee.org/m/501645

Quantum Epidemiology Analysis (QEA)
2025-10-11 09:00 - 11:30 | Virtual: https://events.vtools.ieee.org/m/505935
The ongoing debate comparing chronic illnesses in vaccinated versus unvaccinated children is a topic needs fundamental review of
Epidemiology.
Dr KRS Murthy having been through a long career would like to present Epidemiology at foundational level and the modalities of
viruses. He will present the foundational concepts, especially in its repeated and natural to the viruses modes of mutation.
He will also present the potential of quantum computing in analyzing how the viruses mutate, all possible mutation modes, how the
viruses spread, how the infected spread while travelling on the road, even simple walking around, airline travels, as the viruses ride
on the carriers, and the voracity of the viruses in total effective spreading.
Extremely important, the vaccinations developed by researchers, produced, and distributed to the vaccination centers, also the
misconceptions that vaccination produced by pharmaceutical companies would broadly take care of vaccinating for the target virus,
not realizing the the vaccinations need to be designed to target the latest virus morphed version, further manufactured, produced,
distributed to the vaccination centers every time the virus mutates.
Important difficulty is in identifying new mutations of the viruses diligently scouting in all parts of the globe, further collect the latest
mutation version to be as a next step to ensure the new vaccination particularly targets not only the previous mutations that are
already covered, but include all mutations over time.
To add to discourse we like to introduce Prakash Ramchandran a veteran of technology who was part of year 2000 HIPAA regulations and
recent Quantum and Machine learning concepts to enable Analyse the various Data Sets. Plus the expert Doctor Taposh Dutta-Roy
who has several years of experience in shaping quantum Models for Health Outcomes based on his work at Kaier OPermanente. He
has been leading Silicon Valley Quantum and Advanced Computing (SVQAC) for last several years.
After the presentation by Dr .K.R.S Murthy there will be debate amongst the panel followed by a Q&A session
Co-sponsored by: INGR Quantum Information Technology working group
Agenda:
Speaker 1 – Dr. K.R.S. Murthy – Introduction to Epidemiology , Virology and Vaccine production (20 min)
Speaker 2 – Prakash Ramchandran – The use case of Mosquito-borne disease and use of CRISPER to contain it (20 min)
Speaker -3 Detection and application of Data Science and Quantum Algorithms in Research and Experiments for Health & Medicine )20 min)
Panel Discourse (15 min)
Q&A (15 min)
Virtual: https://events.vtools.ieee.org/m/505935
