Silicon Valley Engineering Council

Watts at Stake: Silicon Valley’s Energy Crossroads
2026-06-16 10:00 - 14:00 (America/Los_Angeles) | Bldg: Morgan Lewis & Brockius, 1400 Page Mill Rd, Palo Alto, California, United States, 94304
Santa Clara Valley IEEE Power & Energy and Industry Applications Societies invites you to a Cal Alumni of Silicon Valley Energy Forum
Join us in person June 16 in Palo Alto for a half day energy forum:
Time: 10:00 AM TO 2:00 PM PST
Cost: $30 LESS 25% IEEE discount
RSVP Registration is at the Cal Alumni site: [](https://www.eventbrite.com/e/energy-at-a-crossroads-a-cal-alumni-of-silicon-valley-energy-forum-tickets-1988570674418)
Hint: Enter the code CASVJUNE25 during Eventbrite registration in the “discount code” box at the bottom of the Eventbrite/payment page for and click “apply” before completing payment.
Note: 7 day cancellation period begins Tuesday June 9. The Eventbrite site needs your title and company name for badges, but it is your option to join the Cal Alumni mailing list.
PES/IAS Chapter Page: (https://r6.ieee.org/scv-pesias/%20)
Reservation URL: https://www.eventbrite.com/e/energy-at-a-crossroads-a-cal-alumni-of-silicon-valley-energy-forum-tickets-1988570674418
About the talk:
California sits at the center of three colliding forces: surging electricity demand driven by data centers and electrification, rising costs that are squeezing households and businesses, and wildfire risk that is reshaping how utilities build, maintain, and protect the grid.
What does this mean for rates, reliability, and the future of the state's energy system? And what can actually be done about it?
Cal Alumni of Silicon Valley is hosting a half-day energy forum bringing together academic research, alumni perspectives, and industry experience. Professor Severin Borenstein, Faculty Director of the Energy Institute at Haas, will deliver a keynote on how data centers are affecting electricity markets and what practical steps exist to make energy more affordable. An alumni panel will explore energy topics from across the Cal community. And PG&E will present on the wildfire mitigation strategies they are deploying to protect California's grid.
Whether you work in energy, tech, policy, or are simply a ratepayer who wants to understand what is driving your bill, this is a conversation worth being part of.
Date: Tuesday, June 16, 2026
Time: 10:00 a.m. – 2:00 p.m.
Location: Morgan Lewis & Bockius LLP
Address: 1400 Page Mill Rd, Palo Alto, CA 94304
(https://r6.ieee.org/scv-pesias/)
Speaker(s): Prof. Borenstein,
Agenda:
10:00 – 10:30 a.m.: Arrival, seating, and light refreshments
10:30 – 11:15 a.m.: Keynote by Professor Severin Borenstein
11:15 – 12:00 p.m.: Alumni Panel Discussion
12:00 – 1:00 p.m.: Lunch hosted by Morgan Lewis
1:00 – 1:45 p.m.: PG&E presentation
1:45 – 2:00 p.m.: Closing remarks and networking
Bldg: Morgan Lewis & Brockius, 1400 Page Mill Rd, Palo Alto, California, United States, 94304

Santa Clara Valley EMC Chapter: Testing and Compliance Seminar at the New CKC Laboratories!
2026-06-16 10:30 - 14:15 (America/Los_Angeles) | CKC Laboratories, Inc., 46025 Warm Springs Blvd, Fremont, California, United States, 94539
[]
Join us for a day of technical insights, professional networking, and a first look at the CKC Laboratories new facility in Fremont!
Enjoy free technical seminars hosted by Randy Clark and Steve Behm, along with a catered lunch compliments of
[]
Stick around for your chance to win over $500 in prizes, including a JBL speaker, Igloo cooler, SF Giants tickets, and gift cards!
There is no charge to attend, but you must register by Friday, June 12!
IEEE members and non-members are welcome!!
Speaker(s): Randy Clark, Steve Behm
Agenda:
10:30 AM – 11:00 AM | Coffee & Check-In
11:00 AM – 11:45 AM | Nerve Stimulation Seminar hosted by Randy Clark, CKC Labs
12:00 PM – 1:00 PM | Catered Lunch Courtesy of ETS-Lindgren & Facility Tour
1:15 PM – 2:00 PM | Grounding & Shielding Seminar hosted by Steve Behm, CKC Labs
2:00 PM | Closing Comments and Raffle
CKC Laboratories, Inc., 46025 Warm Springs Blvd, Fremont, California, United States, 94539

AI in Magnetism: Impact, Challenges and Risks
2026-06-17 18:30 - 20:00 (America/Los_Angeles) | Quadrant Corp., 1120 Ringwood Ct., San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/557434
Talk by Dr. Peter Fischer of Lawrence Berkeley National Laboratory on how artificial intelligence is transforming magnetism research. The discussion covers AI fundamentals, data requirements, and key challenges.
For full event details: (https://scvmag.org/event/ai-in-magnetism-impact-challenges-and-risks/)
Quadrant Corp., 1120 Ringwood Ct., San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/557434

Tech Talk: GPU-Free Real-Time Utility Asset Anomaly Detection
2026-06-17 19:00 - 20:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/563073
The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):
Speaker: Lakshmana Rao Koppada ((https://www.google.com/url?q=https://www.linkedin.com/in/lakshmana-koppada/&sa=D&source=calendar&ust=1781490549069271&usg=AOvVaw11bsPeQi6ednCxDVhnMelu))
Title: GPU-Free Real-Time Utility Asset Anomaly Detection with IBM Granite TSPulse-R1
Abstract: Utility enterprises operate geographically distributed critical assets—such as pumps, tanks, flow meters, and substations that demand continuous health monitoring to avert service disruptions, environmental hazards, and substantial economic losses. Conventional centralized cloud-based Enterprise Asset Management systems incur high latency, excessive bandwidth consumption, and reliance on GPU acceleration, thereby impeding real-time response in connectivity-constrained environments. This paper introduces a GPU-free edge-to-cloud architecture for real-time anomaly detection that exploits the compact IBM Granite TSPulse-R1 time-series foundation model (approximately 1 million parameters). The framework executes lightweight CPU-only inference on edge gateways and transmits only concise anomaly summaries via Message Queuing Telemetry Transport (MQTT), realizing over 99.9% bandwidth reduction relative to raw data transfer. A novel sensor-weighted reconstruction error scoring mechanism prioritizes the most discriminative sensors, enhancing zero-shot multivariate detection performance. Rigorous evaluation on the Water Treatment dataset, a real-world industrial control system benchmark featuring 51 sensors and a 12.53% anomalous timestep ratio, demonstrates an average inference latency of 710.3 ms per 512-timestep chunk, a ROC-AUC of 0.717, and tolerance-adjusted recall exceeding 0.945 at ±20 timesteps. Scalability analysis reveals near-linear latency growth with increasing sensor counts and chunk sizes, confirming feasibility on resource-constrained edge devices. The proposed architecture delivers a scalable, cost-effective, and resilient predictive maintenance solution for critical infrastructure, providing a practical GPU-independent alternative to traditional cloud-centric paradigms while supporting robust operation in distributed utility networks.
Bio: Lakshmana Rao Koppada (IETE Fellow, Senior Member IEEE, Professional Member of BCS) is a Digital Transformation Leader and Technical Architect at PwC with over 16 years of experience delivering large-scale enterprise modernization programs. Specializing in IBM Maximo, cloud platforms, and Red Hat OpenShift, he integrates AI/ML, IoT, and predictive analytics to improve asset reliability and operational efficiency. He has led global digital transformation initiatives for Fortune 500 organizations across utilities, pharmaceuticals, manufacturing, energy, and data center industries. A published researcher and certified IBM Maximo/MAS architect, he actively contributes to international technology conferences and innovation initiatives in AI-driven enterprise systems.
Speaker(s): Ram Sekhar Bodala
Virtual: https://events.vtools.ieee.org/m/563073

Startup: Personal Data Sovereignty in Building a Native Trustable Cloud
Valley Research Park, 319 N Bernardo Ave, Mountain View, CA, 94043, United States
Designing prompt-engineered AI systems with CDN-native edge inference, routing, and secure delivery
LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
Don’t use the front door. When facing the front door, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration.
If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
[Zoom](https://acm-org.zoom.us/j/92225957844?pwd=[REDACTED] (updated 6:55 pm)
Join via YouTube:
https://www.youtube.com/watch?v=pO72Hb30fKw
AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 Speaker Presentation
8:30 – 8:45 finish, Volunteer recruiting Q&A
Join SF Bay ACM Chapter for an insightful discussion on:
### **Abstract**
Current cloud storage infrastructure is owned and controlled by corporations that set terms, hold data, and define access. This talk presents an alternative architectural pattern: a distributed, community-contributed cloud where individuals own their data, stored across volunteer-contributed nodes with no single point of corporate control.
We present a working implementation built on Python Flask microservices, Docker containerization, and MySQL, demonstrating four core capabilities:
1. Visual Personal Data Organization: A 5×5 grid interface that maps personal data across five dimensions of life, featuring a built-in public/private boundary and bilingual (English/Chinese) support. Gmail label integration allows existing personal taxonomies to be imported automatically as data tags.
2. Microservices Architecture: Defined service boundaries—including identity/authentication, personal archive storage, and an ontology service for tag mapping—designed for independent deployment across distributed volunteer hardware.
3. Volunteer Node Lifecycle Protocol: Unlike traditional distributed systems, this architecture is designed for planned voluntary participation. Volunteers agree to an SLA before joining. If a volunteer leaves, a grace period ensures all primary data is migrated before release. The system also handles unexpected failures via automatic replica promotion and manages growth through automatic rebalancing.
4. Personal Archive Management: Activation of a personal agent to serve as the Archive Manager.
We will demonstrate the use of Kubernetes orchestration for real volunteer nodes across public cloud and community hardware. This includes email routing, family heritage storage, and social group management, providing a complete personal data sovereignty stack owned entirely by its community.
### **Keynote Takeaways**
* **Observe the usability of such a wall between authorship data, private data and archived data .**
* **Explore hardware and software backdoor tolerance on cloud implementation.**
* **Understand volunteer node ownership duty and rights**
* **Prominence of joining the development team with comments, labor, or financial support**
*
**Why This Talk Is Different**
**Most ACM Bay Area talks focus on published open technologies and experiences. This session goes into native cloud owned and operated by geographically closed in-person friends and relatives.**
**Speaker Bios**:
**Venkata Gopi Kolla** – **Software Engineer with 10 years of experience in distributed systems, and large-scale multi-tenant infrastructure, global CDN and edge platforms, where he has led traffic routing, security enforcement, caching, and performance optimization across Akamai, Cloudflare, and CloudFront to deliver reliable, high-throughput enterprise SaaS at internet scale. He is currently focused on edge-optimized delivery and security for generative and agentic AI workloads. He has been a committed volunteer at ACM San Francisco Bay Professional Chapter since 2025.**
https://www.linkedin.com/in/venkata-gopi-kolla-8265a427/
—
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.
As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

Twisted Signals for ISAC via OAM Vortex Beams
2026-06-22 12:00 - 13:30 (America/Los_Angeles) | Sunnyvale, California, United States, 94086, Virtual: https://events.vtools.ieee.org/m/561889
Abstract: Electromagnetic waves are characterized by their amplitude, frequency, and state of polarization — also referred to as spin angular momentum (SAM), associated with circular polarization and recognized for over two centuries. In contrast, over the past three decades, growing attention has been directed toward orbital angular momentum (OAM), which arises from helical (twisted) phase fronts and provides an additional degree of freedom through its orthogonal modal structure. In this talk, we explore the use of OAM for integrated sensing and communications (ISAC), with the goal of enhancing spectral efficiency and spatial resolution in automotive scenarios. Unlike conventional uniform circular array (UCA)-based implementations, our approach employs a uniform linear array (ULA) with traveling-wave antennas to synthesize multiple Laguerre-Gaussian vortex beams. The proposed system embeds communication data within radar waveforms while enabling joint estimation of target position and velocity using radar-only frames. An OAM-based mode-division multiplexing strategy is used to separate sensing and communication functionalities, ensuring reliable parameter recovery. We conclude with perspectives on the future of ISAC systems.
Bio:
Kumar Vijay Mishra (S’08-M’15-SM’18) obtained a Ph.D. in electrical engineering and M.S. in mathematics from The University of Iowa in 2015, and M.S. in electrical engineering from Colorado State University in 2012, while working on NASA’s Global Precipitation Mission Ground Validation (GPM-GV) weather radars. He received his B. Tech. summa cum laude (Gold Medal, Honors) in electronics and communication engineering from the National Institute of Technology, Hamirpur (NITH), India in 2003. He is a Senior Fellow at the United States DEVCOM Army Research Laboratory; Research Scientist at the Institute for Systems Research, The University of Maryland, College Park under the ARL-ArtIAMAS program; 2026 BEL Endowed Visiting Chair Professor in Radar Systems at the Indian Institute of Science, Bangalore; Technical Adviser to Singapore-based automotive radar start-up Hertzwell; and honorary Research Fellow at SnT – Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg. Previously, he had research appointments at the Electronics and Radar Development Establishment (LRDE), Defence Research and Development Organisation (DRDO) Bengaluru; IIHR – Hydroscience & Engineering, Iowa City, IA; Mitsubishi Electric Research Labs, Cambridge, MA; Qualcomm, San Jose; and Technion – Israel Institute of Technology.
Dr. Mishra has served as the Distinguished Lecturer (DL) of various societies: IEEE Communications Society (2023-2024), IEEE Aerospace and Electronic Systems Society (AESS) (2023-2024, 2025-2026), IEEE Vehicular Technology Society (2023-2025, 2025-2027), and IEEE Geoscience and Remote Sensing Society (2024-2025). He has been a Virtual DL of IEEE Future Networks Initiative (2022) and Traveling Lecturer of Optica (2025-). He is the recipient of the IEEE AESS Harry Rowe Mimno Award (2026), SAE International Award for Excellence in Innovation (2025), IEEE Signal Processing Society Pierre-Simon Laplace Early Career Technical Achievement Award (2024), Special Mention for the IEEE AESS M. Barry Carlton Award (2023), IET Premium Best Paper Prize (2021), IEEE T-AES Outstanding Editor (2021, 2023, 2024, 2025), U. S. National Academies Harry Diamond Distinguished Fellowship (2018-2021), American Geophysical Union Editors' Citation for Excellence (2019), Royal Meteorological Society Quarterly Journal Editor's Prize (2017), Viterbi Postdoctoral Fellowship (2015, 2016), Lady Davis Postdoctoral Fellowship (2017), DRDO LRDE Scientist of the Year Award (2006), NITH Director’s Gold Medal (2003), and NITH Best Student Award (2003). He has received Best Paper Awards at IEEE MLSP 2019 and IEEE ACES Symposium 2019.
Speaker(s): Vijay,
Agenda:
TBD
Sunnyvale, California, United States, 94086, Virtual: https://events.vtools.ieee.org/m/561889

2026 GET-AI SERIES: 3 . Practical AI for Everyday Productivity
2026-06-22 17:00 - 19:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/561306
As Generative AI rapidly moves from experimentation into everyday workflows, professionals across technical and business roles are discovering new ways to improve productivity, accelerate decision-making, and reduce repetitive work. From software engineering and product management to communication, research, and operations, AI assistants are increasingly becoming practical collaborators in day-to-day work.
Following our May session on “Security in AI,” the IEEE Orange County Computer Society GET-AI Series continues with a practical and demo-driven June session focused on how AI is transforming productivity across the modern workplace.
—————————————————————
🔒 June Focus: Practical AI for Everyday Productivity
[]
As AI becomes integrated into modern workflows, organizations and individuals are leveraging AI tools to automate repetitive tasks, generate content, analyze information, accelerate software development, and streamline collaboration.
This session combines business and engineering perspectives to demonstrate how AI assistants and coding copilots are reshaping the way teams think, build, communicate, and operate.
—————————————————————
Session 1: AI Productivity in Everyday Workflows (45 mins)
Most professionals spend a significant portion of their workweek on repetitive tasks such as drafting emails, writing documents, debugging code, summarizing meetings, analyzing feedback, or preparing presentations.
This session demonstrates how AI assistants such as Claude can act as practical productivity partners across both technical and non-technical workflows.
Through live demonstrations, attendees will explore real-world scenarios including:
Engineering Productivity
– Understanding legacy code
– Debugging production issues faster
– Generating features from natural language requirements
– Writing unit tests and pull request summaries
Business & Product Productivity
– Converting rough notes into structured PRDs
– Extracting insights from customer feedback
– Drafting stakeholder communications
– Preparing executive presentations and interview guides
The session concludes with a live audience challenge where a real attendee workflow problem will be solved interactively using AI.
👉 Takeaway: Learn practical prompting techniques and AI workflows that can immediately improve day-to-day productivity.
—————————————————————
Session 2: AI-Assisted Engineering & Modern Software Development (45 mins)
AI is rapidly reshaping how engineers design, build, review, deploy, and operate software systems. This session explores how AI is evolving from a coding assistant into a practical engineering copilot across the software delivery lifecycle.
Topics include real-world usage of:
– Codex
– Cline
– MCP-enabled development workflows
– GitHub, Bitbucket, and Confluence integrations
The session also explores how AI can accelerate:
– Pull request reviews
– Design documentation
– Architecture visualization using Mermaid and draw.io
– Test generation
– Troubleshooting and debugging
A key focus will be AI-assisted spec-driven development, where AI helps bridge business requirements, technical specifications, implementation, and deployment workflows.
The discussion includes:
– Productivity gains and engineering trade-offs
– Reliability considerations
– Human oversight and governance
– Practical lessons from enterprise adoption
Rather than focusing on theoretical AI concepts, this session emphasizes practical engineering workflows and actionable techniques that architects, developers, and technical leaders can immediately apply.
👉 Takeaway: Understand how AI-assisted engineering workflows are transforming modern software delivery and learn practical approaches for enterprise adoption.
—————————————————————
About the Organizer
Pradyumna Kodgi
Principal Product Manager | Oracle Health & AI
IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County
Member, IEEE AI Agentic Systems & AI Policy Committees
📍 California, USA
📧 pkodgi@ieee.org
🔗 linkedin.com/in/pkodgi
Co-sponsored by: Pradyumna Kodgi
Speaker(s): Pranay, Venkatesh
Agenda:
AI-Powered Productivity: Practical AI for Everyday Productivity
AI is rapidly transforming how we work—from writing emails and generating reports to building applications, analyzing data, and accelerating software delivery. As AI assistants evolve into intelligent copilots integrated into everyday workflows, the question is no longer just what AI can generate—but how we can use it effectively to improve productivity and decision-making.
In this interactive session, we move beyond AI hype and explore how modern AI tools are being used in practical, real-world scenarios across both technical and business environments.
🔍 What You’ll Explore
– How Generative AI is reshaping modern work and productivity
– The role of LLMs, AI copilots, coding agents, and prompt-driven workflows
– Practical applications of AI across engineering, product management, communication, and operations
– How AI-assisted tools can accelerate development, documentation, research, collaboration, and decision-making
💡 What Makes This Session Different
This is not just a theoretical overview—you’ll see AI productivity workflows demonstrated live through practical, real-world examples.
Through interactive demos and walkthroughs, attendees will experience how AI can:
– Generate applications from natural language prompts
– Assist with coding, debugging, and documentation
– Transform rough ideas into structured business artifacts
– Accelerate repetitive tasks and operational workflows
🛠️ Practical Takeaways
You’ll walk away with actionable techniques and frameworks you can immediately apply, including:
– Writing more effective prompts
– Using AI assistants in day-to-day workflows
– Leveraging coding copilots and AI productivity tools
– Combining human expertise with AI-assisted automation
🎯 Who Should Attend
– Software engineers and developers
– Architects and technical leaders
– Product managers and business professionals
– Students and AI enthusiasts
– Anyone interested in improving productivity using AI
✨ What You’ll Walk Away With
– A practical understanding of modern AI productivity workflows
– Real-world examples of AI-assisted engineering and business operations
– Hands-on insights into prompt-driven application development
– Strategies to responsibly integrate AI into everyday work
As AI becomes increasingly integrated into modern workflows, productivity is no longer just about working harder—it’s about learning how to effectively collaborate with intelligent systems. This session will help you understand how AI can become a practical copilot for modern work.
Virtual: https://events.vtools.ieee.org/m/561306

Search 360°: From Query Understanding to LLM-Enhanced Retrieval
Online event
Hybrid event on Zoom and YouTube
If you want to join discussion remotely, you can submit questions via Zoom Q&A. The zoom link:
[https://acm-org.zoom.us/j/94932457090?pwd=[REDACTED]
Join via YouTube:
https://youtube.com/watch?v=t15Ca-KblbE
AGENDA
6:30 pre-sign in to test and chat
**7:00** SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 – 8:30 finish, depending on Q&A
Join SF Bay ACM Chapter for an insightful discussion in person at VRP
**Description:**
Search systems are evolving rapidly, powered by advances in deep learning, embeddings, and now large language models. This talk offers a 360° view of modern search architectures: from query understanding and candidate generation to pre-ranking, ranking, and re-ranking. We’ll explore how hybrid retrieval (sparse + dense), multi-task learning, and LLM-assisted query understanding are redefining search quality and personalization. Attendees will gain a systems-level understanding of how each layer contributes to relevance, diversity, and user satisfaction, and where to focus next for scalable innovation.
**Audience:**
AI practitioners interested in understanding how modern search systems work end-to-end. Also suitable for product engineers and researchers. Beginner to intermediate level: designed for attendees familiar with basic ML and data concepts, but not requiring deep expertise in search or ranking systems.
**Speaker Bio:**
Gauri Sarode is a Machine Learning Engineer at foodtech where she builds large-scale personalization and search systems that shape the customer discovery experience. With an M.S. in Computer Science from New York University, Gauri combines academic depth with real-world production experience. She holds multiple certifications in Generative AI and Retrieval-Augmented Generation.
**LinkedIn:** [https://www.linkedin.com/in/gaurisarode/](https://www.linkedin.com/in/gaurisarode/)
—
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.
As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

Center for Advanced Signal and Image Sciences (CASIS) 29th Annual Workshop
2026-06-24 08:00 - 2026-06-25 17:00 (America/Los_Angeles) | Bldg: Building 661 L-794, University of California Livermore Collaboration Center, 7000 East Ave, Livermore, California, United States, 94550
We are thrilled to host LLNL’s 30th Center for Advanced Signal and Image Sciences (CASIS) workshop. The workshop returns with a full 2-day in-person schedule on Wednesday and Thursday, June 24-25, 2026.
We encourage a broad range of technical topics at the workshop and being non-archival apart from original work, we are also considering intermediate results from ongoing efforts as well as recently published publications for presentation as a talk and/or a poster. The goal of the workshop is to provide a platform for the exchange of ideas and network with peers across disciplines to foster collaboration and build community. Please submit your abstract by Friday, May 15, 2026. Authors will be notified of the review decisions one week later on May 22, 2026.
Apart from the regular presentation track we will feature parallel tutorials, hands-on mini workshops and a dedicated student track to introduce career opportunities at LLNL.
The workshop will be held in-person at the (https://uclcc.org/) and requires pre-registration until June 18, 2026. As this is a 2-day whole-day workshop, we will provide coffee and snacks in morning and afternoon breaks as well as a lunch on both days. As this is our 30th anniversary, we will also host a Happy Hour following the regular program on Wednesday, June 24, 2026.
(https://engineering.llnl.gov/centers/casis/workshops)
This year’s workshop features presentations in the following tracks, moderated by the Program Chairs:
– AI/Machine Learning (PhanNguyen, Kowshik Thopalli)
– National Ignition Facility (Eugene Kur, Christopher Miller)
– Non-Destructive Evaluation (Seemeen Karimi, Harry Martz)
– Quantum Sensing & Quantum Computing (Kristi Beck)
– Remote Sensing, Non-Invasive Imaging & Inverse Problems (Sean Lehman, Viacheslav Li)
– Robotics & Automation (Aldair Gongora, Abhik Sarkar)
– Student Track: All topics (Poster only) (Ted Bauman, Min Priest)
Become part of this great experience and submit your talk proposal at https://engineering.llnl.gov/centers/casis/workshops before May 15, 2025!
Check out (https://www.llnl.gov/article/53041/annual-workshop-brings-together-signal-image-science-community) for last year’s amazing event to see what to expect!
The no-fee CASIS Workshop is sponsored by the (https://engineering.llnl.gov/) and held at the (https://uclcc.org/). It is organized by the (https://engineering.llnl.gov/centers/casis), and is a joint meeting with the local chapters of the (https://www.ewh.ieee.org/r6/oeb/SigProc/sigproc.html) and (https://r6.ieee.org/sfoeb-cs/). supported by the (https://r6.ieee.org/oeb/).
Co-sponsored by: Lawrence Livermore National Laboratory – Center for Advanced Signal and Image Sciences
Bldg: Building 661 L-794, University of California Livermore Collaboration Center, 7000 East Ave, Livermore, California, United States, 94550

Efficient Stochastic Machine Learning at the Edge
2026-06-24 18:50 - 20:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/561732
In this talk, I will talk about some hardware/software work my group has done in the area of stochastic computing-based machine learning acceleration. Stochastic computing or SC is an approximate, stream-based computing paradigm enabling extremely area-efficient implementations of basic arithmetic operations such as multiplication and addition. I will talk about the suitability of the SC to the machine learning/event processing workloads, how to deal with its inherent approximate nature and briefly discuss few chip prototypes that leverage both logic and in-memory implementations of SC-based accelerators for dense as well as a sparse compute.
Speaker(s): Puneet Gupta,
Virtual: https://events.vtools.ieee.org/m/561732

Systematically Managing Complexity in Power Electronics Modeling and Design
2026-06-25 18:00 - 19:00 (America/Los_Angeles) | Murata Electronics North America, Inc., 1732 North First Street #500, San Jose, California, United States, 95112
Power electronics is a foundational technology that drives a wide range of important and emerging applications including cloud computing, wireless communications, robotics, and smart energy systems. By systematically managing the increased complexity in materials, circuits, and systems, new opportunities are created to greatly advance the functionality and performance of power electronics systems.
This speech provides a few examples to illustrate the potential of managed complexity in power electronics design. These include: 1) modular and scalable architecture for systematically managed complexity in high performance circuits; 2) artificial intelligence and machine learning for systematically managed complexity in passive component modeling. This managed complexity approach addresses key challenges in emerging applications by overcoming traditional design barriers from new angles and redefining how power electronics are conceived and implemented in complex systems.
Speaker(s): Minjie Chen
Murata Electronics North America, Inc., 1732 North First Street #500, San Jose, California, United States, 95112

Learning Responsible Technology Governance: Insights from DIITA Principles
2026-06-26 10:00 - 11:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/564197
As emerging technologies such as artificial intelligence, autonomous systems, and large-scale digital platforms become increasingly integrated into society, the need for responsible technology governance has never been greater. This educational session introduces participants to the DIITA Principles (IEEE Standards Association Industry Connections Program), a human- and planet-centered approach to guiding the design, deployment, and oversight of technology in an era of rapid innovation.
Through an accessible exploration of governance, ethics, sustainability, transparency, and accountability, attendees will examine how technological decisions can create lasting impacts on individuals, communities, institutions, and the environment. The session highlights the importance of aligning innovation with broader societal goals, including long-term human well-being, environmental stewardship, and sustainable development.
Drawing on real-world examples from AI, digital transformation, and emerging technologies, participants will gain insights into the DIITA Principles and their role in promoting responsible technology governance. The discussion will examine how these principles can help align innovation with human values, environmental sustainability, and long-term societal resilience. Participants will also explore how the DIITA Principles can provide a common framework for collaboration among technologists, policymakers, researchers, educators, and industry leaders working toward human and planetary flourishing.
Designed for engineers, technology professionals, students, and decision-makers, this educational program aims to raise awareness of the critical role governance plays in shaping technology that not only advances innovation but also contributes to a more sustainable, equitable, and flourishing future for both humanity and the planet.
Link to the event to be followed later.
Speaker(s): Anuraga Prasanna Mandaleeka
Agenda:
Topics covered:
– Introduction of speaker
– Introduction of topic
– Describe the core concepts and principles of DIITA
– Analyze the societal, ethical, and environmental impacts of technological innovation
– Identify opportunities to apply DIITA Principles in practice
– Q&A
Virtual: https://events.vtools.ieee.org/m/564197

Attention-Guided Audio Compression for Multimodal LLMs
2026-06-26 12:00 - 13:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/563360
Audio compression is often proposed to improve the efficiency of multimodal large language models, but its impact on downstream task performance remains underexplored. This talk examines how semantic neural audio codecs behave under token reduction constraints, using cross-modal attention as a signal to discard frames with low semantic content. On audio question-answering benchmarks, attention-guided frame selection removes 10–30% of frames while matching baseline accuracy and answer consistency, and identifies a critical compression threshold (keep ratio ~0.7) below which performance degrades sharply. The talk also discusses an "answer consistency paradox" where models remain highly self-consistent (>98%) even as accuracy degrades and what this decoupling of consistency from correctness means for evaluating compressed multimodal systems in low-resource deployments.
Speaker(s): Prerana
Virtual: https://events.vtools.ieee.org/m/563360

How Tech is Reshaping Our Future
Google Visitor Experience, Google Visitor Experience 2000 N Shoreline Blvd US,, Mountain View, CA, 94043, United States
**Registration at GVE website required:**
https://rsvp.withgoogle.com/events/how-tech-is-reshaping-our-future-with-ronald-petty
**How Tech is Reshaping Our Future**
As global demographics shift toward a new era of longevity, we have a unique opportunity to refine the systems that support our communities. Our current social foundations—from urban design to healthcare and labor—were established in a different era. Today, as we live longer, healthier lives, there is a vibrant conversation emerging about how our societal structures can evolve to match this modern reality.
Join tech consultant Ronald Petty for a free, engaging exploration (for ages 18+) of how society can flourish in this new civilizational stage.
This session highlights two converging forces:
**Empowerment Technology:** A look at how Gemini, robotics, and assistive systems (such as AR glasses and voice agents) serve as “independence-enhancing tools.” These innovations are designed to support personal autonomy and create a seamless environment for people of all ages.
**The Multi-Generational Social Shift:** A forward-looking discussion on evolving retirement trends, collaborative healthcare models, and the strengthening of family and community frameworks.
Rather than viewing the future through a single lens, this talk invites you to explore how we can collaboratively update our societal contract. We will discuss how productivity gains from technology can be used to support life-long fulfillment and how the “human touch” in caregiving can be augmented, rather than replaced, by innovation.
Please bring your thoughts on this topic and get ready for some discussion!

Next Generation Microelectronics for Sensing & Communication Systems: Challenges and Opportunities for Innovations from Novel Materials, Devices & Circuits to Advanced Packaging & 3D Heterogenous Integration
2026-07-13 11:00 - 12:00 (America/New_York) | Bldg: WALC 2127, Purdue University, West Lafayette, Indiana, United States, Virtual: https://events.vtools.ieee.org/m/564441
[]Microelectronics serve as the structural backbone for both global economic competitiveness and as our national defense strategy and forms the technical foundation for a wide array of applications. These include high-performance computing, artificial intelligence, autonomous systems, communications networks, and integrated sensing ecosystems. Next-generation microelectronic technologies are shifting away from traditional 2D silicon scaling by embracing 3D Heterogeneous Integration (3DHI), which vertically stacks and interconnects diverse materials. This leap enables unprecedented processing power, miniaturization, and energy efficiency crucial for advanced computing, sensing and communication systems.
This talk will focus on this grand vision as well as recent advances in the next-generation microelectronics and manufacturing for sensing and communication systems. It will highlight challenges and opportunities for innovations to address traditional physical scaling limits.
Speaker(s): Hasan Sharifi,
Bldg: WALC 2127, Purdue University, West Lafayette, Indiana, United States, Virtual: https://events.vtools.ieee.org/m/564441

SCV/OEB SSIT Chapter Meeting: From Hangar Deck to AI Lab: How the USS Hornet Built Its Own Private LLM
2026-07-14 18:00 - 19:30 (America/Los_Angeles) | Bldg: Pier 3, USS Hornet Sea, Air & Space Museum, Alameda, California, United States, Virtual: https://events.vtools.ieee.org/m/555292
IEEE SCV-OEB SSIT Chapter Meeting
From Hangar Deck to AI Lab: How the USS Hornet Built Its Own Private LLM
Join us for a Member Technical Meeting on how the USS Hornet Sea, Air & Space Museum built a private large language model using Google’s NotebookLM and 165 curated content sources.
Speakers Mark Rowell, CIO of the USS Hornet Sea, Air & Space Museum, and Chuck Myers, Docent and Board Member, will discuss the project’s design, content curation, testing, real-world use cases, and implications for museums, education, and historical preservation.
The program will include live demos, a deep dive into Apollo 11 and 12 mission content, and fresh material being loaded in real time. IEEE members and guests are welcome at 6PM Tuesday night at both the USS Hornet Museum in Alameda and Plug and Play Tech Center in Sunnyvale.
Speaker(s): Mark Rowell, Chuck Myers
Agenda:
AGENDA
• The full ideation and design story — why a private LLM, why NotebookLM, and what alternatives were considered
• How 165 content sources were selected, loaded, and curated — and what that process actually looks like in practice
• Testing and validation: how the team stress-tested the model and refined its responses
• Real use cases: how docents, educators, and visitors are already using the system
• Apollo 11 and Apollo 12 content deep dive — inside historical detail you won't find in a Google search
• Live: new space program content being loaded into the model during the session
• Open Q&A and discussion — bring your questions
Bldg: Pier 3, USS Hornet Sea, Air & Space Museum, Alameda, California, United States, Virtual: https://events.vtools.ieee.org/m/555292

Artificial Intelligence, Using Safely
2026-07-15 11:00 - 14:00 (America/Los_Angeles) | Bldg: Golf course restaurant, not pro shop, Beeb's Sports Bar and Grill, 915 Club House Drive, Livermore, California, United States, 94550
Social gathering, presentation and round table discussion. Speakers to be determined. Audience participation welcome.
Agenda:
Social gathering followed by food service and presentations. Select from menu, or buffet depending upon the number of registrants.
Bldg: Golf course restaurant, not pro shop, Beeb's Sports Bar and Grill, 915 Club House Drive, Livermore, California, United States, 94550

Beyond the Model: The Industry Playbook for Scalable AI Systems
2026-07-15 18:00 - 19:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/563401
As artificial intelligence transitions from experimental deployments to mission-critical production infrastructure, organizations face a fundamental shift from model-centric optimization to system-centric engineering. While advances in model architectures and accelerator technologies have driven recent AI breakthroughs, long-term performance, reliability, and sustainability increasingly depend on the interaction between compute, memory, networking, software runtimes, operations, and governance. This talk presents an industry roadmap for building scalable AI systems that move beyond isolated model optimization toward adaptive, software-defined AI platforms. The roadmap explores five interconnected layers—compute, memory and data, interconnect, runtime and operating systems, and operations and governance—and demonstrates how these layers collectively influence throughput, latency, cost, energy efficiency, reliability, and compliance. The discussion introduces workload-aware architectures for inference, retrieval-augmented generation (RAG), agentic workflows, multimodal applications, and edge AI, highlighting the growing importance of memory hierarchies, topology-aware scheduling, adaptive control loops, and cluster-scale orchestration. A practical AI systems maturity model is proposed to help organizations assess current capabilities and prioritize investments, progressing from ad hoc experimentation to autonomous, policy-governed AI fabrics. The presentation concludes with a pragmatic execution framework and industry best practices for achieving predictable service levels, operational resilience, and sustainable AI economics. The central thesis is that future AI leadership will be determined not by model performance alone, but by the ability to design, operate, and govern AI as an integrated systems platform
Co-sponsored by: Vishnu S. Pendyala, San Jose State University
Speaker(s): Sujit Reddy Thumma
Virtual: https://events.vtools.ieee.org/m/563401

Multi-Agent Systems at Scale as a Shared Platform for the enterprises
Valley Research Park, 319 N Bernardo Ave, Mountain View, CA, 94043, United States
AI Agent Infrastructure as a Shared Platform: Patterns for Multi-Agent Systems at Scale for the enterprise.
LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
Don’t use the front door. When facing the front door, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration.
If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
[Zoom](https://acm-org.zoom.us/j/92225957844?pwd=[REDACTED] (updated 6:55 pm)
Join via YouTube:
https://www.youtube.com/watch?v=pO72Hb30fKw
AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 Speaker presents.
8:30 – 8:45 finish, depending on Q&A
Join SF Bay ACM Chapter for an insightful discussion on:
### **Abstract & Overview**
An agent is simple: Prompt + Tools + Model + Boilerplate. The first three are where product teams create value. The last one—state management, history compression, streaming, cancellation, tracing, memory, persistence—is 80% of the code but 0% of the differentiation.
At ThoughtSpot, we built an Agent Platform that draws a hard line between agent logic and agent infrastructure, letting product teams ship customer-facing agents faster by owning only what matters: their prompts and their tools.
This talk covers the infrastructure patterns behind that separation:
**State management across tool calls.** Stateless tools (state on the agent, passed as arguments) give you testability and let the LLM reason about state. Stateful tools (state in the tool service) avoid serialization overhead. I’ll walk through flow diagrams, show how we propagate state via tool response metadata, and discuss when each pattern fits.
**Configuration-driven agent definitions.** Agents defined entirely through config—templated prompts, tool endpoints, sub-agent rules, compression strategies. Teams ship agents without writing orchestration code.
**Inter-agent communication.** Two patterns: agents-as-tools (sub-agent called like any tool, returns structured output) and agent handoff (full conversation transfer). The platform handles routing and context—teams just declare delegation rules.
**Shared memory across agents.** Memory in the platform, not individual agents, means knowledge accumulates across agent boundaries. Tiered scoping (tenant, org, user) with retrieval that surfaces relevant context regardless of which agent captured it.
**Tool protocol design.** MCP as the base, with patterns layered on top: cancellation semantics, progress streaming, context variable propagation, and adapters for existing services.
Building for customer-facing scale adds constraints—high concurrency, encryption, tenant isolation, auditability—that shaped our API design throughout.
**Takeaways:**
* Mental model for separating agent value from infrastructure
* State patterns: agent-side vs. tool-side tradeoffs
* Inter-agent communication: tools vs. handoff
* Shared memory architecture across agent boundaries
* MCP extensions for production systems.
Speaker Bio
Ashish Shubham is Fellow/Vice President of Engineering at ThoughtSpot, where he leads the architecture of enterprise-scale AI and embedded analytics platforms used by Fortune 500 organizations. He is the author of *Architecting AI Data Systems* and an inventor on multiple U.S. patents in natural-language-to-SQL, generative AI interfaces, and intelligent analytics. Ashish is an IEEE Senior Member and an active reviewer and committee contributor for leading IEEE and ACM conferences and workshops. His work bridges academic research and real-world deployment, with a focus on building scalable, trustworthy, and developer-centric AI systems for production environments.
[https://linkedin.com/in/ashubham](https://linkedin.com/in/ashubham)
—
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.
As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

Silicon Photonics Qualification and Reliability Requirements
2026-07-16 12:00 - 13:00 (America/Los_Angeles) | Virtual: https://events.vtools.ieee.org/m/560599
[]
Co-Sponsored by the Photonics Chapter
As silicon photonics and co-packaged optics (CPO) technologies continue to scale for AI, cloud, and high-bandwidth networking applications, reliability qualification methodologies are becoming increasingly critical. While much of the industry focus has been on performance and integration density, standardized approaches for qualification, reliability assessment and long-term service life prediction remain an important industry challenge.
This webinar will present the motivation, structure, and key technical considerations behind the emerging JEDEC work that Cisco has led on Silicon Photonics Qualification and Reliability Requirements. The session will discuss reliability expectations and qualification strategies for silicon photonics devices, chiplets, integrated optical assemblies, and heterogeneous integration approaches used in AI and datacenter applications. The webinar is intended for engineers and technologists working in silicon photonics, advanced packaging, NPO, CPO, datacenter infrastructure, reliability engineering, semiconductor manufacturing, and optical module development.
Speaker(s): Farnood Rezaie,
Virtual: https://events.vtools.ieee.org/m/560599

AI and Vibecoding: From Zero to Power User(5-week Course)
Valley Research Park, 319 N Bernardo Ave, Mountain View, CA, 94043, United States
July 16 – Aug. 13 Thursdays $5:00 – 7:00 pm PST, Hybrid
Location: VRP Mountail View.
Join SFBay ACM chapter with $20/year and bacome our volunteers to help on site at the events.
https://www.sfbayacm.org/join-us/
Send an Email and tell us which day you will be join the event on site to Karthik
[karthikchinnusamy](mailto:karthikchinnusamy@sfbayacm.net) at SFBayACM.net
Register the sequesce courses at this link that automatically apply 20% discount code:
https://luma.com/e/evt-r9lwGy95XBHNLpO?coupon=779FXL
About Event:
​Course Highlight: *AI Mastery for Everyone: From Zero to AI Power User*
​This **5-week course** meets at the same time each week, and with one registration you’ll receive access to all sessions. Led by Dr. Ronjon Nag OBE, inventor, entrepreneur, and Stanford Adjunct Professor, the series will take you from beginner to AI power user—teaching practical skills, vibecoding, and real-world applications across work and life. In addtional to the lectures, we will also host AI tools workshop to guide through essential AI agents setup.
​Over five weeks, we will cover:
* ​July 16- Getting Started with AI – Foundations and everyday use
* ​July 23 – Becoming an AI Power User – Prompts and workflows
* ​July 30 – Vibecoding – Tuning AI to human intention
* ​Aug 6 – AI Across Domains – Business, healthcare, longevity
* ​Aug 13 – The Future of AI – What’s next for human–AI collaboration
* ​With addtional AI workshop TBD
​
​Instructor Bio:
​**Dr. Ronjon Nag** OBE is an inventor, teacher, and entrepreneur, and President of the R42 Group venture firm. A pioneer of smartphones and app stores—his companies were acquired by Apple, BlackBerry, and Motorola—he now works at the intersection of AI and biology, including leading [Agemica.ai](http://agemica.ai/?utm_source=luma) on vaccines for aging. He is a Stanford Adjunct Professor, recipient of the IET Mountbatten Medal, IEEE Outstanding Engineer Award, COGx AI Lifetime Achievement Award, MIT Great Dome Award, and is a 2024 inductee into the Silicon Valley Engineering Hall of Fame.

Summer Power Symposium - Paving the AI Superhighway
2026-07-18 13:00 - 17:00 (America/Los_Angeles) | Intel SC-12 Auditorium, 3600 Juliette Ln., Santa Clara, CA, 95054
Paving the AI Superhighway: Where Power Meets Intelligence
As part of our 2026 year-round symposium series themed “AI Super-Highway”, this symposium will focus on advanced power technologies for AI era and will be held at Intel SC-12 Auditorium:
3600 Juliette Ln, Santa Clara, CA, 95054, on Saturday, July 18th, 2026, 1:00 PM to 5:00 PM
This summer symposium concentrates on the critical power and energy infrastructure that underpins the continued evolution and scaling of artificial intelligence. Particularly, it will explore how the rapid expansion of AI is reshaping the global power landscape. The symposium aims to bring together leading pioneers from industry and academia to discuss key challenges, recent innovations, and future opportunities at the intersection of AI and the power sector.
STAY TUNED.. more information to be announced.
Room: SC-12 Auditorium, Bldg: Intel , 3600 Juliette Lane, Santa Clara, California, United States

IEEE Santa Clara Valley Young Professionals Networking Mixer
2026-07-18 17:30 - 19:30 (America/Los_Angeles) | Bldg: Barebottle Brewing Company, 2520 Augustine Drive, Suite 120, Santa Clara, California, United States, 95054
Join us for the IEEE Young Professionals (YP) Networking Mixer and continue the conversations from CASPA × IEEE 2026 Summer Symposium at an informal gathering of professionals. Following an afternoon of insightful technical discussions on AI, semiconductor power, and next-generation technologies, join fellow early-career engineers, researchers, entrepreneurs, and technology professionals for an evening of networking and community building.
Whether you attended the symposium or are simply interested in connecting with the local IEEE Young Professionals community, you're welcome to join us. This mixer is a great opportunity to expand your professional network, exchange ideas, and learn about IEEE YP activities in a relaxed setting.
Who Should Attend?
– Engineers and professionals including,
– Early-career engineers and researchers
– Any YPs interested in becoming involved with IEEE Young Professionals
Venue:
Barebottle Brewing Company
2520 Augustine Drive, Suite 120, Santa Clara, CA 95054
Registration
– Attendance is limited to 40 participants.
– Registrants will receive one complimentary drink ticket (while supplies last).
– Additional food and beverages may be purchased individually.
We look forward to seeing you for an evening of great conversations, new connections, and community building!
Bldg: Barebottle Brewing Company, 2520 Augustine Drive, Suite 120, Santa Clara, California, United States, 95054

Closed-Loop Intelligence: How AI Plans, Connects, Fails, and Learns Across the Hyperscale Infrastructure Lifecycle
2026-07-25 12:00 - 14:00 (America/New_York) | 1015 N Quincy St, Arlington, Airlington, Virginia, United States, 22201, Virtual: https://events.vtools.ieee.org/m/560012
At AWS scale, a single capacity planning error misallocates hundreds of millions in CapEx. Spreadsheets don't survive at this velocity — closed-loop AI systems do.
This session delivers a practitioner's unfiltered view from inside hyperscale infrastructure planning at AWS. We examine how AI pipelines connect demand forecasting, gap analysis, build planning, and rack deployment into a single end-to-end system and what that looks like in operational reality. We explore how feedback loops enable planning systems to detect model drift, recalibrate on actuals, and compound forecast accuracy over time.
But intelligence without failure analysis is incomplete. We confront what happens when the forecast is wrong at scale, how failure cascades across procurement, deployment, and customer commitments, and how human-in-the-loop governance and explainable AI contain the damage and restore trust.
AI that plans, connects, fails, and learns.
Speaker(s): Nainsi Jain,
Agenda:
Arlington Central Library
1015 N Quincy St, Arlington, Airlington, Virginia, United States, 22201, Virtual: https://events.vtools.ieee.org/m/560012

Call for volunteers, Summer STEM Workshop: Continue Team Race Car Building
2026-07-27 14:00 - 19:00 (America/Los_Angeles) | 27709 Tyrrell Ave, Hayward, California, United States, 94544
Calling all volunteers to join our Summer STEM Youth Workshop where you'll get hands-on experience with build a car servos, learn the mechanics behind it and race an obstacle course/ track!
We will be helping students who build ACEBOTT 5DOF Smart Robot Arm Car Kit, 4WD Remote Control Car: Amazon Link (https://www.amazon.com/dp/B0DHX9QW5N?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1)
Because we have limited space available, registration will be first come, first served. There will be a mandatory zoom training for all volunteers working with children.
Sign up to volunteer today! Google Form Link (https://forms.gle/KSkkUYPK2QVNQrKS7)
Event Details
Where: Glad Tidings Family Life Complex
When: 7/27, 2pm to 7:00pm.
Who: For volunteering, college students and professionals are welcome to join!
[]
Why STEM Education Matters
STEM education is more than just learning about technology or engineering—it’s about developing critical thinking, creativity, and problem-solving skills that are essential in today’s world. By exposing your child to STEM:
– Help them discover new interests and talents.
– Prepare them for high-paying and rewarding careers.
– Show them that they can be creators, innovators, and leaders.
Schedule:
2:15 – 2:30 PM | Welcome & Kickoff
– Welcome
– Event Overview
– Review of safety rules
– Introduction of volunteers, experiment leads, and technology demonstrators
2:30 PM | Presentation #1
Three classes (Build New Car/ attach Robot Arm, Troubleshoot Car/ Review/ Coding, and Art class)
2:45 PM- 5 PM | Build Car and Logo Art Design
5:00 PM– 5:40 PM | Dinner
6:00 PM– 6:45 PM | Finish Car Building, and Test obstacle course/ race track
6:45 – 7:00 PM | Closing, Photos & Thank You
Our Program’s Commitment
Through our partnership with the IEEE Oakland-East Bay Section, TryEngineering, and Glad Tidings, we are dedicated to fostering a supportive and inclusive environment. Here’s why this program is unique:
Mentors Who Care: STEM professionals from your community will guide your child every step of the way.
– Hands-On Learning: Engaging activities like designing bridges, building robots, and creating LED circuits make learning exciting.
Equity in Education: Our goal is to provide access and opportunity to all children, particularly those in underrepresented communities.
Parent Involvement
We understand the vital role parents play in their child’s success. During the event, you’ll:
– See firsthand how STEM activities boost confidence and teamwork.
– Learn about free and affordable resources to continue your child’s STEM journey.
– Meet other parents who share the same goal of empowering their children.
Don’t Miss Out!
This is a chance to show your child that their dreams matter and that they belong in STEM fields. Secure your spot today!
Register by March 23th
To ensure we have the proper supplies and resources, please RSVP by end of day March. 23, so we can better plan the workshop.
Together, let’s inspire a generation of problem solvers, innovators, and dreamers. We look forward to seeing you there!
Warm regards,
Aaron Lin, IEEE
Benita McLarin, Glad Tidings
Co-sponsored by: Glad Tiding International
27709 Tyrrell Ave, Hayward, California, United States, 94544

2026 GET-AI SERIES: 4 . Driving Business Efficiency with AI
2026-07-27 16:30 - 19:00 (America/Los_Angeles) | Room: Emerald Cove Conference Room, Bldg: Beall Applied Innovation, 5270 California Ave, 2nd Floor , IRVINE, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/565627
Artificial Intelligence is rapidly transforming how organizations generate revenue, streamline operations, and automate complex business processes. From intelligent sales prospecting and personalized customer engagement to autonomous AI agents capable of reasoning, planning, and executing multi-step workflows, AI is becoming an essential driver of business efficiency and competitive advantage.
Following our June session on AI-Powered Productivity, the IEEE Orange County Computer Society GET-AI Series continues with a practical, demo-driven July session focused on how organizations can leverage AI to improve efficiency, reduce operational costs, accelerate business processes, and build intelligent enterprise applications.
This double-feature session combines business and technical perspectives to demonstrate how AI can optimize both customer-facing and enterprise workflows through intelligent automation, advanced prompting techniques, and production-ready AI agent architectures.
—————————————————————
🔒 July Focus: Driving Business Efficiency with AI
[]
As organizations increasingly adopt AI across their operations, the challenge is no longer simply using AI it is applying it strategically to create measurable business value.
This session explores how AI can help organizations:
– Improve operational efficiency through intelligent automation
– Reduce manual effort and operational costs
– Increase sales pipeline quality using AI-driven insights
– Automate repetitive business workflows
– Build enterprise-grade autonomous AI agents to Save Cost
Whether you're a business leader, consultant, architect, developer, product manager, or AI enthusiast, this session provides practical strategies and demonstrations that can be immediately applied within your organization.
—————————————————————
Session 1: Building Efficient Enterprise AI Systems with LangGraph (45 mins)
Through live demonstrations, this session explores how LangGraph enables developers to build production-ready AI systems that are reliable, scalable, and designed to create efficient enterprise workflows. Attendees will learn how to move beyond simple LLM applications to intelligent agent architectures that streamline operations, optimize resource utilization, and reduce the cost of developing and operating AI-powered solutions.
Topics include
– LangGraph fundamentals
– Designing efficient AI workflows
– Enterprise AI agent architecture
– Memory and state management
– Tool orchestration and workflow automation
– Human-in-the-loop approvals
– Multi-agent collaboration
– Enterprise automation and cost optimization patterns
– Best practices for building scalable, production-ready AI systems
👉 Takeaway: Learn how to build efficient, enterprise-grade AI systems that automate complex workflows, optimize business operations, reduce development and operational costs, and deliver measurable business value through intelligent automation.
—————————————————————
Session 2: AI-Powered Sales Intelligence: Building Smarter Pipelines with Intelligent Prospecting (45 Min)
This session demonstrates how AI can fundamentally transform go-to-market execution by identifying real-time business opportunities through trigger events, market signals, sentiment analysis, and intelligent prospecting.
Through live demonstrations, attendees will learn how AI can generate highly personalized outreach, automate prospect research, and enable sales teams to focus on meaningful customer engagement instead of manual list building.
Topics include:
– AI-driven sales intelligence
– Intelligent prospect discovery
– Event-driven customer engagement
– Effective prompting for business workflows
– Hyper-personalized outreach
– Reducing customer acquisition costs
– Improving pipeline quality through AI
👉 Takeaway: Learn how AI can improve sales efficiency, reduce manual effort, and create higher-quality business opportunities through intelligent automation.
—————————————————————
About the Organizer
Pradyumna Kodgi
Principal Product Manager | Oracle Health & AI
IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County
Member, IEEE AI Agentic Systems & AI Policy Committees
📍 California, USA
📧 pkodgi@ieee.org
🔗 linkedin.com/in/pkodgi
Co-sponsored by: Pradyumna Kodgi
Speaker(s): Gaurav Deshmukh, Sunil Hans
Agenda:
Agenda
– 4:30 PM – 5:00 PM — Registration, Check-In & Networking
– 5:00 PM – 5:15 PM — Welcome, Introductions & Opening Remarks
– 5:15 PM – 6:00 PM — Session 1: Building Efficient Enterprise AI Systems with LangGraph: Intelligent Automation Beyond Chatbots
– 6:00 PM – 6:15 PM — Dinner & Networking
– 6:15 PM – 7:00 PM — Session 2: AI-Powered Sales Intelligence: Building Smarter Pipelines with Intelligent Prospecting
—————————————————————
🛠️ Practical Takeaways
You'll walk away with actionable techniques and frameworks that can immediately improve business efficiency, including:
– Leveraging AI to improve sales pipeline quality
– Applying effective prompting techniques for business automation
– Reducing operational costs through AI-driven workflows
– Building efficient enterprise AI systems with LangGraph
– Designing scalable AI workflows using memory, tools, and intelligent orchestration
– Combining human expertise with AI-driven automation to maximize business value
—————————————————————
🎯 Who Should Attend
– Business leaders and executives
– Sales and marketing professionals
– Product managers and consultants
– Software engineers and developers
– Enterprise and solution architects
– AI practitioners and technology leaders
– Students and professionals interested in enterprise AI
—————————————————————
✨ What You'll Walk Away With
– A practical understanding of how AI can improve business efficiency and reduce costs
– Real-world examples of AI-powered sales intelligence and intelligent prospecting
– Hands-on insights into building efficient enterprise AI workflows with LangGraph
– Practical strategies for automating complex business processes using AI
– Best practices for integrating AI responsibly into enterprise environments
As AI becomes increasingly embedded within enterprise operations, success is no longer defined by simply adopting AI—it is measured by how effectively organizations use AI to build efficient systems, optimize workflows, reduce costs, and accelerate business outcomes. This session will equip you with practical knowledge and real-world techniques to harness AI as a strategic driver of business efficiency.
Room: Emerald Cove Conference Room, Bldg: Beall Applied Innovation, 5270 California Ave, 2nd Floor , IRVINE, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/565627

System Engineering: The Role of AI and Software in Emissions Reduction
Valley Research Park, 319 N Bernardo Ave, Mountain View, CA, 94043, United States
System Engineering Our Way to a Sustainable Future: The Role of AI and Software in Emissions Reduction
LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
Don’t use the front door. When facing the front door, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration.
If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
[https://acm-org.zoom.us/j/95226212956?pwd=[REDACTED]
Join via YouTube:
[https://youtube.com/live/cu5TDl8N2Mk](https://youtube.com/live/cu5TDl8N2Mk)
AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
**7:00** SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 – 8:30 finish, depending on Q&A
Join SF Bay ACM Chapter for an insightful discussion on:
**Talk Description**:
Tackling climate change isn’t just a moral imperative—it’s an optimization problem. Life Cycle Assessment (LCA), the gold standard for measuring environmental impact, has historically been slow, expensive, and data-starved. But AI can change that. By automating data collection, predicting missing inputs, and scaling complex calculations, “life cycle LLMs” can make LCA fast, accurate, and actionable. With better system-level visibility, organizations can identify emission hotspots, avoid false trade-offs, and make decisions that genuinely move the needle on net-zero goals.
Software itself is part of the problem, but also a powerful lever. As computing’s carbon footprint grows, developers can embed sustainability into their work through efficient algorithms, leaner data flows, and low-carbon infrastructure choices—what some call “green coding.” More importantly, software can multiply impact: powering smart grids, optimizing logistics, or modeling entire supply chains. This talk makes the case that the biggest climate wins won’t come from treating sustainability as charity—they’ll come from treating it like the ultimate systems engineering challenge.
**Speaker Bio**:
Johanna Behm is a “recovering” event planner on a mission to help the events industry cut up to 10% of global carbon emissions by automating sustainability tracking and operational workflows for live events.
A native of Finland, Johanna grew up in a culture where sorting household waste into seven bins and minimizing waste was simply part of daily “workfow”. She was astonished by her industry’s wasteful nature and realized majority of sustainability-related problems can be attributed to poor planning and information gaps. While recruiting technical talent for her startup Envire, Johanna also realized that most software engineers are not aware that their skills could be deployed to solve some of the most pressing environmental issues and social challenges our whole planet and humanity is facing today.Prior to his work at Google, Saurabh gained valuable experience as an SRE at Okta. He is also a thought leader in SRE and cloud technologies, a mentor for startup entrepreneurs through the Google for Startups program, and a frequent speaker on the topic of foundational thinking for scalable and reliable system infrastructure.
**[envire.ai](http://envire.ai/)**
—
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.
As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

What Breaks First at Scale: Lessons from Real-World Distributed Systems
Valley Research Park, 319 N Bernardo Ave, Mountain View, CA, 94043, United States
Hybrid event on Zoom and YouTube
If you want to join discussion remotely, you can submit questions via Zoom Q&A. The zoom link:
[https://acm-org.zoom.us/j/94932457090?pwd=[REDACTED]
Join via YouTube:
https://youtube.com/watch?v=t15Ca-KblbE
AGENDA
6:30 pre-sign in to test and chat
**7:00** SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 – 8:30 finish, depending on Q&A
Join SF Bay ACM Chapter for an insightful discussion in person at VRP
**Abstract:**
As modern AI-powered and real-time applications grow, they increasingly rely on complex event-driven infrastructure. This session explores practical lessons learned from operating large-scale messaging and distributed systems in production. We will dive into the critical trade-offs regarding reliability, scalability, and observability in asynchronous environments, and discuss how architectural decisions compound when systems reach global scale.
**Speaker Bio:**
*Ajinkya Kher is an Engineering Manager at Meta and former Principal Engineering Manager at Microsoft with over 15 years of experience building and leading large-scale distributed systems. Throughout his career, he has worked on highly scaled platforms, including real-time messaging platform powering Microsoft Teams & AI-powered experiences supporting hundreds of millions of users worldwide. At Meta, he leads engineering teams building youth-focused experiences across Facebook and Messenger, with a focus on trust and safety.*
*Ajinkya is currently authoring a book with Manning Publications on designing and operating event-driven systems in production. He previously authored a book on high-performance TypeScript programming and enjoys sharing practical lessons from building software at scale. Beyond his day-to-day work, he enjoys mentoring engineers and supporting technology and innovation programs that help develop future engineering leaders.*
**LinkedIn:** [https://www.linkedin.com/in/ajinkyakher](https://www.linkedin.com/in/ajinkyakher)
—
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.
As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

Engaging Video Analytics and Generative AI
2026-07-29 17:30 - 19:30 (America/Los_Angeles) | Sobrato Campus for Discovery and Innovation (SCDI) Room 1302, 500 El Camino Real, Santa Clara, California, United States, 95053
In this talk, Dr. Jianquan Liu presents an industry perspective on the convergence of video analytics and generative AI. The talk begins with an overview of video analytics, covering advancements in action recognition, object tracking, human-object interactions, scene recognition, and behavioral pattern analysis. These technologies enable efficient extraction, retrieval, visualization, and summarization of video content. The presentation then explores the impact of generative AI, particularly large language models (LLMs), on video understanding. It discusses how LLMs enhance object recognition, semantic segmentation, action recognition, captioning, visual question answering, and storytelling. Dr. Liu provides industry case studies to illustrate these applications while also addressing limitations and challenges. The talk introduces NEC's narrative summarization framework, designed to tackle key challenges in video analytics. It concludes with a demonstration of "Video with LLM" technology, showcasing its practical application in automating traffic accident investigation reports. This presentation offers valuable insights into the current state and future potential of AI-driven video intelligence, bridging the gap between technical innovation and practical application for both industry professionals and general audiences.
Co-sponsored by: Oakland-East Bay Section Chapter
Speaker(s): Jianquan Liu ,
Agenda:
– 5:30 PM – 6:00 PM: Networking
– 6:00 PM – 7:30 PM: Presentation, Q&A
Sobrato Campus for Discovery and Innovation (SCDI) Room 1302, 500 El Camino Real, Santa Clara, California, United States, 95053
