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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250826T173000
DTEND;TZID=America/Los_Angeles:20250826T183000
DTSTAMP:20260405T060321
CREATED:20250814T094810Z
LAST-MODIFIED:20250814T094810Z
UID:76881-1756229400-1756233000@svec.org
SUMMARY:Towards Efficient Learning on Edge by Hyperdimensional Computing
DESCRIPTION:Recent advancements in machine learning\, while powerful\, are often burdened by significant computational and memory requirements\, limiting their deployment in resource-constrained settings. Hyper dimensional Computing (HDC) emerges as an alternative with its simplicity\, lightweight operations\, and robustness to errors. By encoding data into high-dimensional vectors and performing efficient algebraic computations\, HDC opens a new avenue as an efficient learning paradigm. In this talk\, Dr. Fatemeh Asgarinejad will introduce the fundamentals of HDC and briefly discuss existing research that has extensively explored various stages of HDC algorithm. Then\, she will present three key domains of her research: First\, she will discuss PIONEER\, a novel approach that employs learned projection vectors to optimize the encoding process. By leveraging neural networks to learn these vectors\, PIONEER enables HDC to achieve high accuracy with significant computational efficiency. Second\, she will present HDXpose\, an adversarial attack framework that exploits an advantage of HDC: “explainability”. By strategically analyzing and perturbing influential input points\, HDXpose effectively unveils vulnerabilities within HDC models\, underscoring the need for robust security measures in HDC system design. Lastly\, Dr. Asgarinejad will show an application of HDC in developing a cost-effective and noise-resilient pressure mat system for human activity recognition. The HDC-based system surpasses CNNs in accuracy and efficiency.\nCo-sponsored by: Media Partner: Open Research Institute (ORI)\nSpeaker(s): Fatemeh Asgarinejad\nAgenda:\n– Invited talk from Dr. Fatemeh Asgarinejad\, an incoming Assistant Professor of Teaching in the Electrical and Computer Engineering Department at the University of California\, Riverside.\n– Q/A Session\nVirtual: https://events.vtools.ieee.org/m/496707
URL:https://svec.org/event/towards-efficient-learning-on-edge-by-hyperdimensional-computing/
LOCATION:Virtual: https://events.vtools.ieee.org/m/496707
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250826T170000
DTEND;TZID=America/Los_Angeles:20250826T190000
DTSTAMP:20260405T060321
CREATED:20250731T095140Z
LAST-MODIFIED:20250731T095140Z
UID:76792-1756227600-1756234800@svec.org
SUMMARY:OCCS GET Series: Deploying AI Systems in Healthcare & Real-World MLOps at Scale
DESCRIPTION:We’re excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting groundbreaking innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter\, this series brings together professionals\, students\, and tech enthusiasts to explore what’s next in emerging tech.\nFollowing an insightful June session focused on enterprise AI integration and large language model (LLM) development\, we’re back this August after a brief summer break with another dynamic double-feature exploring AI at scale—from healthcare to production-ready ML systems.\nAs AI adoption accelerates\, so do the complexities of real-world deployment. This month’s talks tackle those complexities head-on\, offering both strategic and technical perspectives on building reliable\, scalable\, and human-centered AI solutions.\nIn this session:\n🔹 The first talk delves into the deployment of agentic AI systems in healthcare\, addressing challenges such as data heterogeneity\, safety\, regulation\, and trust. You’ll learn about explanation-based and modular design principles\, hybrid RAG-based deployment strategies\, and real-world applications across triage\, radiology\, and dementia care.\n🔹 The second talk bridges the gap between ML experimentation and production. Through a practical case study\, it explores the full machine learning lifecycle—from training to CI/CD-enabled deployment—along with best practices in MLOps\, model monitoring\, and cross-functional collaboration.\nKey topics include:\n✅ Designing safe\, explainable agentic AI in healthcare\n✅ Deployment frameworks using hybrid RAG models\n✅ ML development lifecycle: from notebooks to production\n✅ CI/CD pipelines\, monitoring\, and model versioning\n✅ Scalable and collaborative MLOps strategies\nWhether you're building AI for regulated industries or scaling ML pipelines across teams\, this session will provide the tools\, frameworks\, and real-world insights to drive your work forward.\n📅 Join us on Tuesday\, August 26 from 5:00 PM to 7:00 PM PT for an evening of learning\, discussion\, and community.\n🎤 Interested in speaking at a future session? Reach out to swapnali.karvekar@ieee.org — we’re always looking for passionate voices shaping the future of technology.\nLet’s keep advancing innovation—together.\nSpeaker(s): Vivek\, Babul\nAgenda:\nTime (in PST)	Activity\n05:00pm – 05:15pm	Check-in and networking\n05:15pm – 05:30pm	OCCS Chapter Introduction!\n05:30pm – 06:00pm	Speaker: Vivek Bharti\n06:00pm – 06:30pm	Speaker: Babul Sahu\n06:30pm – 07:00pm	Q/A\nVirtual: https://events.vtools.ieee.org/m/494867
URL:https://svec.org/event/occs-get-series-deploying-ai-systems-in-healthcare-real-world-mlops-at-scale/
LOCATION:Virtual: https://events.vtools.ieee.org/m/494867
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20250825T184500
DTEND;TZID=-07:00:20250825T204500
DTSTAMP:20260405T060321
CREATED:20250618T160303Z
LAST-MODIFIED:20250618T160303Z
UID:75969-1756147500-1756154700@svec.org
SUMMARY:When Bias Goes Viral: Protecting Your Brand from Biases in Generative AI
DESCRIPTION:## Details \nLOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nDon’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. \nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[https://acm-org.zoom.us/](https://acm-org.zoom.us/)\nJoin via YouTube:\n[https://youtube.com/live/](https://youtube.com/live/) \nAGENDA\n6:30 Door opens\, food and networking (we invite honor system contributions)\n**7:00** SFBayACM upcoming events\, introduce the speaker\n7:15 speaker presentation starts\n8:15 – 8:30 finish\, depending on Q&A\n**Abstract:**\nBias in generative AI is no longer an academic concern\, it’s a real-world risk to brand trust\, product integrity\, and social responsibility. This session presents the BEATS framework\, a statistically rigorous evaluation methodology\, designed to uncover and assess latent biases in LLM outputs and a AI governance framework to proactively identify and mitigate risky AI generated outputs. This is inspired by my recently published research titled *“BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models”* ([arXiv:2503.24310](https://arxiv.org/abs/2503.24310)).\n**Attendees will gain insights into:** \n* Detecting and quantifying bias across demographic and contextual dimensions\n* Evaluating fairness and ethical alignment in model responses\n* Embedding bias monitoring and ethical guardrails throughout the AI lifecycle\n* Implementing governance strategies for risk mitigation\, compliance\, and responsible AI deployment \nThis session will deliver practical\, research informed strategies to help organizations future-proof their AI systems while preserving fairness\, equity\, and brand integrity.\n**Intended Audience:**\nAI practitioners\, ML engineers\, Product Managers\, Data Scientists\, compliance officers\, product marketing managers\, business executives and anyone involved in building or managing GenAI LLM powered applications. \n**Bio for Alok Abhishek:**\nAlok Abhishek is a product leader with 15+ years of experience driving innovation at the intersection of AI\, data\, and enterprise SaaS. He specializes in building and scaling zero-to-one products\, establishing product-market fit\, and accelerating early-stage growth for data- and AI-driven solutions in global B2B markets. Alok is also a respected independent researcher and contributor to leading publications\, including MIT Science Policy Review\, IEEE Computer Society Tech News\, DATAVERSITY\, and TechStrong.ai\, where he writes on topics such as AI-first product strategy\, building data products\, and user-centric innovation.\n**LinkedIn:** [https://www.linkedin.com/in/alokabhishek/](https://www.linkedin.com/in/alokabhishek/) \n**Bio for Tushar Bandopadhyay:**\nTushar Bandopadhyay is the Founder and CEO of KronML\, a trusted AI platform for enterprises. With over 25 years of deep industry experience in driving technological breakthroughs\, he has led the incubation\, design\, and development of planet-scale distributed data storage\, security\, and AI systems. A recognized technology leader and independent researcher\, Tushar holds multiple patents in data infrastructure and applied AI and has a proven track record of turning innovative ideas into transformative enterprise products.\n**LinkedIn:** [https://www.linkedin.com/in/tbandopadhyay/](https://www.linkedin.com/in/tbandopadhyay/)
URL:https://svec.org/event/when-bias-goes-viral-protecting-your-brand-from-biases-in-generative-ai/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2025/06/1024x576-23PWbq.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250821T180000
DTEND;TZID=America/Los_Angeles:20250821T210000
DTSTAMP:20260405T060321
CREATED:20250811T094806Z
LAST-MODIFIED:20250811T094806Z
UID:76869-1755799200-1755810000@svec.org
SUMMARY:IEEE Happy Hour Mixer for Young Professionals & Interns
DESCRIPTION:– Connect with local IEEE Young Professionals and Interns.\n– Networking opportunities to bridge the transition from student to professional.\n– Build connections for internships and potential career opportunities.\n– Enjoy delicious food and drinks!\n– First drink is on us!\n– Appetizers on us!\n99 First St\, San Jose\, California\, United States\, 95113
URL:https://svec.org/event/ieee-happy-hour-mixer-for-young-professionals-interns/
LOCATION:99 First St\, San Jose\, California\, United States\, 95113
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250821T073000
DTEND;TZID=America/Los_Angeles:20250821T140000
DTSTAMP:20260405T060321
CREATED:20250730T094812Z
LAST-MODIFIED:20250730T094812Z
UID:76788-1755761400-1755784800@svec.org
SUMMARY:PG&E Diablo Canyon Power Plant Site Visit
DESCRIPTION:IEEE SF/OEB Power & Energy Society (PES) is excited to announce our upcoming PG&E Diablo Canyon Power Plant Site Visit on Thursday August 21\, 2025\, from 8am to 2pm\, with 7:30am arrival! We have a limited number of spots and expect it to fill up fast. Please register on vTools ASAP but only if you believe you can make it. You will need to travel to Avila Beach on August 20th to be there the night before.\nSite Tour will include a risk management presentation and site visits to turbine deck\, control room simulator\, Independent Spent Fuel Storage Installation\, and marina.\nOnce you have registered\, SF PES Chair Wendy Al-Mukdad will send you the PG&E event registration with a lot more information about preparing for your visit\, pre-tour safety video\, visitor rules & information. PG&E must pre-approve all registered attendees no later than 2 weeks before the event.\nIEEE SF/OEB PES attendees tentatively are planning to meet for dinner on Wednesday August 20th in Avila Beach. More info to follow.\nPlease contact Wendy at walmukdad@ieee.org with any questions.\nAvila Beach\, California\, United States
URL:https://svec.org/event/pge-diablo-canyon-power-plant-site-visit/
LOCATION:Avila Beach\, 6000 California City Blvd\, California City\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20250820T190000
DTEND;TZID=-07:00:20250820T210000
DTSTAMP:20260405T060321
CREATED:20250419T140311Z
LAST-MODIFIED:20250419T140311Z
UID:68833-1755716400-1755723600@svec.org
SUMMARY:Designing for Scale\, Reliability\, and Resiliency: Real-World Lessons
DESCRIPTION:**Designing for Scale\, Reliability\, and Resiliency: Real-World Lessons from Building High-Throughput Systems** \nLOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\nhttps://acm-org.zoom.us/\nJoin via YouTube:\nhttps://youtube.com/live/ \nAGENDA\n6:30 Door opens\, food and networking (we invite honor system contributions)\n**7:00** SFBayACM upcoming events\, introduce the speaker\n7:15 speaker presentation starts\n8:15 – 8:30 finish\, depending on Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \n**Talk Description**:\nAs modern software systems grow in complexity and scale\, the demand for architectures that are not just fast—but also reliable\, resilient\, observable\, and auditable—has never been greater. In this talk\, we’ll dive into practical strategies and real-world patterns for designing and operating large-scale distributed systems.\nTopics include: \n* Traffic segmentation and routing strategies across multi-cluster environments\n* Patterns for achieving high availability and failover across global infrastructure\n* Monitoring and observability at scale: what to measure\, how to alert\n* Auditing for compliance\, trust\, and debugging\n* Common failure modes and how to build for graceful degradation\n* Real examples from mission-critical production systems \nAttendees will walk away with architectural insights\, tools\, and mental models to apply to their own systems\, whether working in startups or enterprises. \n*** \n**Speaker Bio**:\nI’m a Senior Software Engineer at DoorDash and previously led platform initiatives at Conviva\, where I built scalable\, fault-tolerant systems handling tens of millions of sessions daily for customers like Disney\, HBO\, and Sky. My work has spanned everything from routing frameworks and disaster recovery to monitoring pipelines and SLA enforcement. I’m passionate about making infrastructure reliable and maintainable\, and I enjoy sharing lessons learned from real-world systems.\n[https://www.linkedin.com/in/karanluniya](https://www.linkedin.com/in/karanluniya) \n— \nValley 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. \nAs 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.\nhttps://www.valleyresearchpark.com/
URL:https://svec.org/event/designing-for-scale-reliability-and-resiliency-real-world-lessons/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2025/04/1024x576-cfCOYT.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250820T190000
DTEND;TZID=America/Los_Angeles:20250820T200000
DTSTAMP:20260405T060321
CREATED:20250804T094811Z
LAST-MODIFIED:20250804T094811Z
UID:76818-1755716400-1755720000@svec.org
SUMMARY:Tech Talk: Model Context Protocols: Building Intelligence into Engineering Workflows
DESCRIPTION:Speaker: Mahesh Reddy Konatham ((https://www.linkedin.com/in/maheshrkonatham/))\nTitle: Model Context Protocols: Building Intelligence into Engineering Workflows\nAbstract: As systems grow in scale and complexity\, preserving and transmitting context becomes a first-class design concern. Model Context Protocols (MCPs) are emerging as a powerful abstraction for embedding structured context across engineering workflows — from test infrastructure to deployment pipelines\, platform services\, and AI-assisted development.\nBio: Mahesh Reddy Konatham is a Senior Software Engineer at PayPal\, specializing in building scalable full-stack applications and distributed systems. He holds a Master’s degree in Software Engineering from San Jose State University and a B.Tech from NIT Trichy. Mahesh has contributed to diverse domains including fintech\, utilities\, and developer experience platforms. He brings deep expertise in backend services\, microservices\, React-based frontends\, and cloud infrastructure. At PayPal\, he has developed systems that power critical financial products and internal tools. Mahesh has led initiatives in automation\, visual testing\, and performance optimization across large-scale systems. He is passionate about Generative AI\, developer platforms\, and the design of Model Context Protocols (MCPs).His current interests lie in integrating structured context into engineering workflows and intelligent test environments. Mahesh is driven by curiosity\, clean system design\, and enabling engineers to build smarter\, more reliable software.\nSpeaker(s): Mahesh Reddy Konatham\nVirtual: https://events.vtools.ieee.org/m/495510
URL:https://svec.org/event/tech-talk-model-context-protocols-building-intelligence-into-engineering-workflows/
LOCATION:Virtual: https://events.vtools.ieee.org/m/495510
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20250819T180000
DTEND;TZID=US/Pacific:20250819T203000
DTSTAMP:20260405T060321
CREATED:20250513T022222Z
LAST-MODIFIED:20250513T022222Z
UID:70102-1755626400-1755635400@svec.org
SUMMARY:The Sketches of Infinite Data and Algorithms for Real-Time Data Insights
DESCRIPTION:Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.):\nhttps://sjsu.zoom.us/webinar/register/WN_DIDfdbkgRFeEd3JbzURIUQ\nSynopsis:\nHow are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts\, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general\, how can we answer complex queries about enormous data streams without storing them entirely\, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed presents significant challenges. These data streams are often too large to store and too fast to process exhaustively with traditional methods. This talk introduces key sketching and approximation techniques that help generate real-time data insights by processing data streams.\n—————————————————————\nBy registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, indirect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be recorded and will be made available for public viewing.\nSpeaker(s): Dr. Vishnu S. Pendyala\nVirtual: https://events.vtools.ieee.org/m/482936
URL:https://svec.org/event/the-sketches-of-infinite-data-and-algorithms-for-real-time-data-insights/
LOCATION:Virtual: https://events.vtools.ieee.org/m/482936
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T180000
DTEND;TZID=America/Los_Angeles:20250812T191500
DTSTAMP:20260405T060321
CREATED:20250718T094838Z
LAST-MODIFIED:20250718T094838Z
UID:76751-1755021600-1755026100@svec.org
SUMMARY:Distinguished Lecture: Machine Learning in NextG Networks via Generative Adversarial Networks
DESCRIPTION:Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that can address competitive resource allocation problems\, together with detection and mitigation of anomalous behavior. In this talk\, the speaker will discuss their use in next-generation (NextG) communications within the context of cognitive networks to address i) spectrum sharing\, ii) detecting anomalies\, and iii) mitigating security attacks. GANs have the following advantages. First\, they can learn and synthesize field data\, which can be costly\, time-consuming\, and non-repeatable. Second\, they enable pre-training classifiers by using semisupervised data. Third\, they facilitate increased resolution. Fourth\, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs\, a comparative discussion on different kinds of GANs\, performance measures for GANs in computer vision and image processing as well as wireless applications\, a number of datasets for wireless applications\, performance measures for general classifiers\, a survey of the literature on GANs for i)–iii) above\, some simulation results\, and future research directions. In the spectrum sharing problem\, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional autoencoder for an outlier detection problem in spectrum sensing.\nCo-sponsored by: Vishnu S. Pendyala\, SJSU\nSpeaker(s): Dr. Vishnu S. Pendyala\, Prof. Ender Ayanoglu\nVirtual: https://events.vtools.ieee.org/m/493301
URL:https://svec.org/event/distinguished-lecture-machine-learning-in-nextg-networks-via-generative-adversarial-networks/
LOCATION:Virtual: https://events.vtools.ieee.org/m/493301
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Denver:20250812T130000
DTEND;TZID=America/Denver:20250812T140000
DTSTAMP:20260405T060321
CREATED:20250801T094913Z
LAST-MODIFIED:20250801T094913Z
UID:76800-1755003600-1755007200@svec.org
SUMMARY:Dynamic Modelling for Analysis of Wind Farm and Grid Interaction - Bikash Pal
DESCRIPTION:Abstract of Seminar\nElectrical generation\, transmission and distribution systems all over the world have entered a period of significant renewal and technological change. There have been phenomenal changes/deployments in technology of generation driven by the worldwide emphasis on energy from wind and solar as a sustainable solution to our energy need. Increasingly energy demand from heating and transportation will be met by electricity. So\, to accommodate changes in either end the transmission grid is required to operate in more responsive manner. This is the most credible challenge in smart transmission grid operation today. Some of the recent wind farm operations have grabbed media headlines of not being connectable to the grid. While the debate is on whether it is the wind farm or the grid is the cause\, the balance of the debate is shifting towards the integration and control aspect of these two technologies.\nThis seminar will briefly mention the recent major problems in connecting big wind farms to the grid. It will then identify few possible specific technical reasons supported by the general technical insights gathered from detailed technical study conducted at Bikash Pal’s research group at Imperial College London. Future research challenges and opportunities will be highlighted.\nCo-sponsored by: IEEE Task Force on IoT for Power Systems\nSpeaker(s): Bikash Pal\,\nVirtual: https://events.vtools.ieee.org/m/495135
URL:https://svec.org/event/dynamic-modelling-for-analysis-of-wind-farm-and-grid-interaction-bikash-pal/
LOCATION:Virtual: https://events.vtools.ieee.org/m/495135
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250808T113000
DTEND;TZID=America/Los_Angeles:20250808T130000
DTSTAMP:20260405T060321
CREATED:20250808T095025Z
LAST-MODIFIED:20250808T095025Z
UID:76842-1754652600-1754658000@svec.org
SUMMARY:Organization Meeting for the SVTHC
DESCRIPTION:Organization meeting of SVTHC committee to discuss future technical meetings\nCo-sponsored by: Silicon Valley Technical History Committee\nAgenda:\nBrunch and discussion of planned technical meetings and new meeting ideas\n1314 S Mary Avenue\, Sunnyvale\, California\, United States
URL:https://svec.org/event/organization-meeting-for-the-svthc/
LOCATION:1314 S Mary Avenue\, Mountain View\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250806T090000
DTEND;TZID=America/Los_Angeles:20250807T143000
DTSTAMP:20260405T060321
CREATED:20250730T094811Z
LAST-MODIFIED:20250730T094811Z
UID:76786-1754470800-1754577000@svec.org
SUMMARY:Youth STEM Summer Camp
DESCRIPTION:🌞 Final Countdown to Our Youth STEM Summer Camp – Aug 6–7! 🚀\nCalling all volunteers —we’re just days away from our exciting 2-day Youth STEM Summer Camp! This hands-on\, immersive experience is packed with science\, tech\, and creativity—perfect for inspiring young minds.\n📍 Location: Glad Tiding Family Life Complex\, 27709 Tyrrell Avenue\, Hayward\, CA 94544\n📅 Dates: August 6 & 7\, 2025\n🕘 Time: 9:00 AM – 3:00 PM (Day 1)\, 9:00 AM – 2:30 PM (Day 2)\nOur campers will explore topics like Biology\, AI/Machine Learning\, Physics\, Sustainability\, Photography\, and Aerospace\, plus fun activities like STEM Basketball\, Lego Play\, and a Science Fair!\n👩‍🏫 Volunteers: Please complete the google form https://forms.gle/cxyq1UGWZ1zH95rYA.\n✅ Volunteer Training: All volunteers must attend training before the camp\, we will finalize the date and time for training soon.\nLet’s work together to make this STEM Summer Camp an unforgettable experience. See you there!\n#STEMCamp #IEEESTEM #YouthInSTEM #VolunteersNeeded #STEMEducation #AI #Biology #Aerospace #SummerCamp2025\nCo-sponsored by: Benita McLarin\n27709 Tyrrell Avenue\, Hayward\, California\, United States\, 94544
URL:https://svec.org/event/youth-stem-summer-camp/
LOCATION:27709 Tyrrell Avenue\, Hayward\, California\, United States\, 94544
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250730T070000
DTEND;TZID=America/Los_Angeles:20250730T080000
DTSTAMP:20260405T060321
CREATED:20250722T094905Z
LAST-MODIFIED:20250722T094905Z
UID:76763-1753858800-1753862400@svec.org
SUMMARY:Tech Talk: Seamless Interaction of Physical and Virtual Systems
DESCRIPTION:Speaker: Dr.R.N.V. Jagan Mohan ((https://www.google.com/url?q=https://www.linkedin.com/in/dr-r-n-v-jagan-mohan-23783651/&sa=D&source=calendar&ust=1753554477868175&usg=AOvVaw3F7O5kTIFsPW-2wp9_MqFg))\nTitle: Seamless Interaction of Physical and Virtual Systems\nAbstract: The way people engage with technology is changing as a result of the convergence of virtual and physical systems\, spurring innovation in a variety of sectors\, including smart infrastructure\, manufacturing\, healthcare\, and education. The concepts\, tools\, and difficulties of accomplishing smooth connection between the real and virtual creations are examined in this study. It highlights how the Internet of Things (IoT)\, digital twins\, cyber-physical systems (CPS)\, and immersive technologies like augmented reality (AR) and virtual reality (VR) may create unified worlds where data flows both ways and interactions take place in real time. The study highlights key integration strategies\, interface design considerations\, and synchronization techniques that enable coherent and responsive system behavior. This study offers an in-depth understanding of the approaches that promote interoperability\, scalability\, and security in hybrid systems by examining case studies and current research trends. The ultimate goal of the research is to aid in the creation of intelligent\, adaptable ecosystems in which digital representations and physical processes seamlessly evolve together and cooperate.\nBio: TBD\nSpeaker(s): Jagan Mohan\nVirtual: https://events.vtools.ieee.org/m/493756
URL:https://svec.org/event/tech-talk-seamless-interaction-of-physical-and-virtual-systems/
LOCATION:Virtual: https://events.vtools.ieee.org/m/493756
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250724T185000
DTEND;TZID=America/Los_Angeles:20250724T200000
DTSTAMP:20260405T060321
CREATED:20250718T094838Z
LAST-MODIFIED:20250718T094838Z
UID:76749-1753383000-1753387200@svec.org
SUMMARY:RF Sensing for Automotive Interior Monitoring
DESCRIPTION:Interior monitoring systems in passenger cars are becoming increasingly vital\, driven by two primary factors: (i) stringent legal and regulatory mandates\, and (ii) the increasing autonomy levels (L2+). The "child left behind" scenario is already governed by legal provisions in the United States and Europe\, with anticipated global adoption. Despite being a prominent solution\, camera-based monitoring encounters challenges such as limited line of sight and variable light conditions.\nFuture interior monitoring solutions also target health monitoring for both drivers and passengers\, focusing on areas like drowsiness detection\, respiration\, and heart rate. This presentation explores complementary approaches to camera-only systems\, emphasizing enhanced accuracy and coverage while potentially reusing vehicular access infrastructure. Leveraging commercial ultra-wideband (UWB) radios and/or 60GHz radars\, the proposed sensor system integrates advanced AI algorithms tailored to automotive standards.\nA technical exposition will delve into the operational mechanics of such sensor systems including a healthy competition between advanced signal processing and machine learning based approaches (recipient of several best paper award nominations). The presentation will be complemented by a demonstration featuring automotive applications (video)\, offering a comprehensive insight into the evolving landscape of interior monitoring technology for passenger cars.\nSpeaker(s): Dr. Vivek Jain\nAgenda:\n6:50 – 7 PM: Registration\n7-8 PM: Talk and Q&A\n3165 Kifer Road\, Building B (Cafeteria Area)\, Santa Clara\, California\, United States\, 95051
URL:https://svec.org/event/rf-sensing-for-automotive-interior-monitoring/
LOCATION:3165 Kifer Road\, Building B (Cafeteria Area)\, Santa Clara\, California\, United States\, 95051
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20250721T184500
DTEND;TZID=-07:00:20250721T204500
DTSTAMP:20260405T060321
CREATED:20250612T151849Z
LAST-MODIFIED:20250612T151849Z
UID:75941-1753123500-1753130700@svec.org
SUMMARY:A Copilot for Social Promotion
DESCRIPTION:LOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nIf you want to join remotely\, you can submit questions via Zoom Q&A. \n* The zoom link:\n* [https://acm-org.zoom.us/](https://acm-org.zoom.us/)\n* Join via YouTube:\n* [https://youtube.com/live/](https://youtube.com/live/) \nAGENDA\n6:30 Door opens\, food and networking (we invite honor system contributions)\n**7:00** SFBayACM upcoming events\, introduce the speaker\n7:15 speaker presentation starts\n8:15 – 8:30 finish\, depending on Q&A\nJoin SF Bay ACM Chapter for an insightful discussion on: \n**Talk Description**:\nThe Social Promotion Copilot (SPC) is designed to autonomously engage with users on social platforms\, leveraging advanced NLP and action-oriented automation. This chapter delves into its architectural foundation\, focusing on the integration of Theory of Mind to enhance SPC’s ability to interpret user emotions\, predict reactions\, and tailor responses dynamically. By modeling mental states\, SPC can distinguish between different user intents\, such as seeking support\, expressing dissatisfaction\, or driving discussions. This capability enables more context-aware and persuasive interactions\, making SPC a more effective tool for both social engagement and marketing strategies. \nBeyond cognitive modeling\, the chapter also examines the run-time execution framework\, detailing how SPC processes textual tasks in real-time. The system selects optimal actions based on multi-modal inputs\, including textual context\, sentiment analysis\, and platform-specific engagement patterns. Through a structured decision-making pipeline\, SPC adapts its posting and response strategies to maximize visibility and interaction. By balancing automation with adaptive intelligence\, SPC transforms from a simple content-promotion tool into an autonomous social agent\, capable of managing long-term engagement and fostering meaningful digital interactions\, which is confirmed by evaluation on social network sites. \n**Speaker Bio**:\nProf. Boris Galitsky has contributed linguistic and machine learning technologies to Silicon Valley startups as well as companies like eBay and Oracle for over 25 years. His information extraction and sentiment\nanalysis techniques assisted several acquisitions\, such as Xoopit by Yahoo\, Uptake by Groupon\, Loglogic by Tibco\, and Zvents by eBay. His security-related technologies of document analysis contributed to the acquisition of Elastica by Semantec. \nAs an architect of the Intelligent Bots project at Oracle\, he developed a discourse analysis technique used for dialogue management and published in the book Developing Enterprise Chatbots. He also published a two-volume monograph\, “AI for CRM”\, based on his experience developing Oracle Digital Assistant. He is an Apache committer to OpenNLP\, where he created OpenNLP. Similarity component\, which is a basis for a semantically enriched search engine and chatbot development. \nHis exploration and formalization of human reasoning culminated in the book AQ1 Computational Autism broadly used by parents of children with autism spectrum disorder and rehabilitation personnel. His\nfocus on the medical domain led to another research monograph\, “Artificial Intelligence for Healthcare Applications and Management”. He is a now a professor at Stavropol Agricultural University. \nhttps://www.linkedin.com/in/boris-galitsky-342109204/
URL:https://svec.org/event/a-copilot-for-social-promotion/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2025/06/1024x576-ChRz7O.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20250717T080000
DTEND;TZID=US/Pacific:20250717T131500
DTSTAMP:20260405T060321
CREATED:20250601T031845Z
LAST-MODIFIED:20250601T031845Z
UID:75906-1752739200-1752758100@svec.org
SUMMARY:4th International Conference on Applied Data Science (ICADS) 2025
DESCRIPTION:Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.):\nhttps://sjsu.zoom.us/meeting/register/RToYlK0nTMitbP-jb4VjBA\nSynopsis:\nThe event is technically co-hosted by Area 4\, Region 6 of the IEEE Computer Society.\nThis virtual event brings together global innovators in data science to share cutting-edge research and practical applications.\nThe sessions with invited speakers will cover topics related to GenAI and its application. ICADS 2025 offers a dynamic platform for innovation and collaboration. Don’t miss this opportunity to connect with experts and advance the field of data science from the comfort of your own home.\nFor more details\, also check https://r6.ieee.org/scv-cs/icads2025/ (This page on vtools has a word limit)\nTitle: The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science\, Art\, and Business\nAbstract – In this talk\, Kamer Ali Yuksel (Head of Agentic AI @ aiXplain) describes how LLM-driven agents are transforming autonomy across research\, enterprise\, and design. He shows that today’s agents aren’t just “smart autocomplete” but self-directed ideators\, experimenters\, analysts\, and creators. Drawing on his recent publications\, he argues that AI agents already deliver end-to-end autonomy: how aiXplain autonomously refine Agentic AI workflows via continuous LLM-driven feedback loops\, ideate and implement enterprise Agentic AI use-cases\, and derive actionable business insights from enterprise data—producing executive-ready reports without human intervention.\n…\nSpeaker – Kamer Ali Yuksel\nhttps://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.20.56-PM.png	Talk title: From Algorithms to Agents: The Role of Agentic AI in Healthcare\nAbstract – The future of healthcare is not just digital—it’s intelligent. Agentic AI represents a paradigm shift in artificial intelligence\, moving beyond static models and reactive systems to dynamic\, autonomous agents capable of setting goals\, making decisions\, and adapting over time. Unlike traditional AI\, which passively responds to inputs\, agentic AI can plan\, reason\, and act in complex\, real-world environments—making it especially suited for the demands of modern healthcare.\n…\nSpeaker – Dr. Anuradha Kar\nhttps://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.18.58-PM.png	Title: Revolutionizing Aerospace Supply Chains with Machine Learning-Powered Digital Twins\nAbstract – …this speech will be about understanding the need for trustworthiness in Agentic AI and learning about the latest developments in ensuring it. The speech will discuss not only technical solution approaches but also our responsibilities to build human-compatible Agentic AI.\n…\nSpeaker – Dr. Utku Kose\nhttps://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.16.25-PM.png	Title: Enabling Performance-Efficient GenAI at the Edge Through Quantization\nAbstract – Despite widespread discussion of AI agents across industry and academia\, the field lacks consensus on fundamental questions: What exactly constitutes an agent? What problems can current agents realistically solve versus what remains beyond their reach? This talk addresses the clarity gap by examining current agent capabilities and limitations through real-world examples\, and establishing concrete problem statements for researchers and practitioners. …\nhttps://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.13.42-PM.png	Title: TBD\nDr. Soumen Biswas\n—————————————————————\nBy registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, indirect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be recorded and will be made available for public viewing.\nCo-sponsored by: Vishnu S. Pendyala\, SJSU\nSpeaker(s): Dr. Vishnu S. Pendyala\, Dr. Soumen Biswas\, Ranjitha Gurunath Kulkarni \, Dr. Utku Kose \, Dr. Anuradha Kar\, Kamer Ali Yuksel\nAgenda:\n08:00 to 09 AM	Dr. Soumen Biswas\n09:00 to 10:00 AM	The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science\, Art\, and Business\n10:00 am to 11:00 AM	From Algorithms to Agents: The Role of Agentic AI in Healthcare\n11:00 to 12:00 PM	Towards Trustworthy Intelligence: Policies\, Architectures\, and Human Alignment in Agentic AI\n12:00 to 01:00 PM	Beyond the Buzz: Defining Agentic AI Systems\, Their Capabilities\, and the Path Forward\nVirtual: https://events.vtools.ieee.org/m/487442
URL:https://svec.org/event/4th-international-conference-on-applied-data-science-icads-2025/
LOCATION:Virtual: https://events.vtools.ieee.org/m/487442
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20250716T190000
DTEND;TZID=-07:00:20250716T210000
DTSTAMP:20260405T060321
CREATED:20250421T141830Z
LAST-MODIFIED:20250421T141830Z
UID:68924-1752692400-1752699600@svec.org
SUMMARY:In-Memory Computing SoC with Multi-level RRAM to Accelerate AI Inference
DESCRIPTION:LOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\nhttps://acm-org.zoom.us/\nJoin via YouTube:\nhttps://youtube.com/live/\nAGENDA \n6:30 Door opens\, food and networking (we invite honor system contributions)\n**7:00** SFBayACM upcoming events\, introduce the speaker\n7:15 speaker presentation starts\n8:15 – 8:30 finish\, depending on Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \nAbstract\nTetraMem will introduce its multi-level RRAM cell for in-memory computing. The talk will explain how TetraMem uses Multi-level RRAM to accelerate neural network inference applications. The speaker will demonstrate how TetraMem leverages its unique technology and expertise to increase precision\, accuracy and energy efficiency of AI applications\, including our methods to improve cell performance as recently published in Nature and Science. \nBio\nWenbo Yin is the SVP of IC Design at TetraMem. He joined the company in 2019 and currently leads the chip design efforts at TetraMem including mixed-signal circuit design and NPU architecture.\n[https://tetramem.ai/](https://tetramem.ai/)\n— \nValley 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. \nAs 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.\nhttps://www.valleyresearchpark.com/
URL:https://svec.org/event/in-memory-computing-soc-with-multi-level-rram-to-accelerate-ai-inference/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2025/04/1024x576-sM6Hae.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250716T110000
DTEND;TZID=America/Los_Angeles:20250716T140000
DTSTAMP:20260405T060321
CREATED:20250514T023343Z
LAST-MODIFIED:20250514T023343Z
UID:70118-1752663600-1752674400@svec.org
SUMMARY:Pixar and "RenderMan"
DESCRIPTION:Join your fellow IEEE OEB-LMAG members for lunch\, and an opportunity to hear about Pixar from Dan McCoy\, a key technical contributor to Pixar’s award-winning software “RenderMan”\, as well as many of its blockbuster movies. Dan will talk about Pixar and the technology it uses to develop its 3D Animated movies.\nThis is a chance to hear about how Pixar has changed the way that 3D animated movies\, and all movies with 3D special effects\, are made.\nIt is also a great chance to make new friends and socialize with other IEEE members and guests.\nSpeaker(s): Dan McCoy\, Dan\nAgenda:\nPresentation and lunch. Bufett or order from menu depending upon the number of registrants. Member fee is subsidized.\nBldg: Golf course restaurant\, not pro shop\, Beeb's Sports Bar and Grill\, 915 Club House Drive\, Livermore\, California\, United States\, 94551
URL:https://svec.org/event/pixar-and-renderman/
LOCATION:Bldg: Golf course restaurant\, not pro shop\, Beeb's Sports Bar and Grill\, 915 Club House Drive\, Livermore\, California\, United States\, 94551
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250710T170000
DTEND;TZID=America/Los_Angeles:20250710T180000
DTSTAMP:20260405T060321
CREATED:20250621T053453Z
LAST-MODIFIED:20250621T053453Z
UID:76138-1752166800-1752170400@svec.org
SUMMARY:2025 July SCV WIE ExCom Meeting
DESCRIPTION:2025 July SCV WIE ExCom Meeting – Zoom\nAgenda:\n1) New Member Introductions\n2) Upcoming Key Events\n– Prompt Engineering: Making the most out of LLMs (co-host with the CS Chapter) on Apr 16\, 2025 at 6 pm\n– IEEE SCV WIE AI Summit 2025 on Aug 29th\, 2025\n– vTools Updates\nShweta Behere – member\nSreyashi Das – member\nSue Delafuente – member\nNegin – guest\nOther students as volunteers\nAgenda:\nVirtual: https://events.vtools.ieee.org/m/489820
URL:https://svec.org/event/2025-july-scv-wie-excom-meeting/
LOCATION:Virtual: https://events.vtools.ieee.org/m/489820
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250709T180000
DTEND;TZID=America/Los_Angeles:20250709T190000
DTSTAMP:20260405T060321
CREATED:20250628T060309Z
LAST-MODIFIED:20250628T060309Z
UID:76670-1752084000-1752087600@svec.org
SUMMARY:Quantum Threats to Cryptography and Counter Measures: Dr William Blair
DESCRIPTION:Join us for an exciting session as our speaker—Dr William Blair–an expert in quantum computing and cryptography—walks us through the emerging quantum threat landscape. Learn how quantum algorithms like Shor’s and Grover’s challenge today’s cryptographic systems\, and how the industry is responding with next-gen\, quantum-resistant solutions. This talk will demystify core concepts in quantum computation and introduce NIST’s new cryptographic standards like ML-KEM and ML-DSA\, offering practical insights into securing communication systems in the post-quantum era. Don’t miss this opportunity to get up to speed on one of the most pressing shifts in cybersecurity.\nCareers in Technology\nVirtual: https://events.vtools.ieee.org/m/490558
URL:https://svec.org/event/quantum-threats-to-cryptography-and-counter-measures-dr-william-blair/
LOCATION:Virtual: https://events.vtools.ieee.org/m/490558
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Denver:20250707T183000
DTEND;TZID=America/Denver:20250707T194500
DTSTAMP:20260405T060321
CREATED:20250706T090317Z
LAST-MODIFIED:20250706T090317Z
UID:76723-1751913000-1751917500@svec.org
SUMMARY:WiE Unplugged: Real Stories Behind the Resumes
DESCRIPTION:Join IEEE Women in Engineering – Boise Section for a special virtual event where three amazing women engineers will share the real stories behind their careers.\nOur amazing speakers are\n1) Jennifer Houle (Clinical Assistant Professor\, Electrical and Computer Engineering\, Boise State University)\n2) Peijung Tsai ( Lead Systems Engineer\, L3Harris Technologies)\n3) Shanya Chaubey (HBM Product management\, Micron Technology Inc)\nThis event is not about resumes or job titles — it’s about the personal journeys\, challenges\, and lessons they’ve learned along the way. You’ll hear how things like AI\, new technologies\, or changes at work have helped or made things harder for them.\n🗣️ What to expect:\n–\nShort talks from each speaker\n–\nA fun rapid-fire question round\n–\nTime for the audience to ask questions\n–\nSpeakers can share slides if they want to\nThis is a great event for students\, professionals\, or anyone interested in STEM. Join us and get inspired!\nSpeaker(s): \, \,\nAgenda:\nTentative Agenda: WiE Unplugged\nDuration: 1 hour 15 mins (virtual)\nFormat: Panel-style session with short talks + audience interaction\n–\nWelcome & Introductions – 5 minutes\n–\nHosted by IEEE WiE Boise Section\n–\nBrief introduction of each speaker\n–\nSpeaker Segments – 10 minutes each. Feel free to make it as open or honest as you like — this event is meant to be raw\, honest\, and relatable\n– Slides are optional (3–5 max)\, and we encourage you to include anything you feel adds impact\, such as how emerging technologies like AI\, remote work culture\, or other industry trends have influenced your work\, for better or worse.\n–\nRapid Fire Round – 5- 10 minutes each\n–\nFun and light questions (5 each) to keep the energy up.\n–\nAudience Q&A –5- 10 minutes\n–\nUnfiltered questions such as career related questions from attendees\n–\nClosing & Thank You – 5 minutes\n–\nFinal takeaways + group screenshot\nVirtual: https://events.vtools.ieee.org/m/490224
URL:https://svec.org/event/wie-unplugged-real-stories-behind-the-resumes/
LOCATION:Virtual: https://events.vtools.ieee.org/m/490224
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250701T190000
DTEND;TZID=America/Los_Angeles:20250701T200000
DTSTAMP:20260405T060321
CREATED:20250625T060318Z
LAST-MODIFIED:20250625T060318Z
UID:76525-1751396400-1751400000@svec.org
SUMMARY:Tech Talk: Identifying Potential Test Reductions Using Pytest and AST Analysis
DESCRIPTION:Speaker: Arun Vishwanathan ((https://www.linkedin.com/in/arun-vishwanathan-16b56917/))\nTitle: Identifying Potential Test Reductions Using Pytest and AST Analysis\nAbstract: Test matrix explosions are a growing challenge in modern software testing\, especially when using parameterized tests in machine learning pipelines. This talk presents a hybrid approach that combines Python's Abstract Syntax Tree (AST) analysis and Python's Test Framework parameterized testing to identify potential redundancies. By strategically trimming the test matrix\, we can achieve quicker testing and faster turnarounds.\nBio: Arun Vishwanathan is a Senior Software Development Test Engineer at Apple and specializes in Software Testing and Automation\, with over a decade of experience in the field. His work focuses on building tools and frameworks that enhance test automation\, boost productivity\, and enable cross-team collaboration. Currently\, he is developing a test frameworks for evaluating Machine Learning models. He holds a Master’s degree in Computer Science from the University of Southern California\, Los Angeles.\nSpeaker(s): Arun Vishwanathan\nVirtual: https://events.vtools.ieee.org/m/490367
URL:https://svec.org/event/tech-talk-identifying-potential-test-reductions-using-pytest-and-ast-analysis/
LOCATION:Virtual: https://events.vtools.ieee.org/m/490367
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250627T183000
DTEND;TZID=America/Los_Angeles:20250627T200000
DTSTAMP:20260405T060321
CREATED:20250417T020327Z
LAST-MODIFIED:20250417T020327Z
UID:68680-1751049000-1751054400@svec.org
SUMMARY:Artificial Intelligence-Assisted Design and Fault Diagnosis of Electric Motors for Green Transportation
DESCRIPTION:A talk by Prof. Min-Fu Hsieh of National Cheng Kung University (NCKU)\, Tainan Taiwan\, exploring the integration of AI in diagnosing motor faults and advancing motor design\, highlighting how AI can significantly enhance the reliability and performance of electric motors in green transportation. It will delve into the use of machine learning and deep learning models to predict and prevent motor failures (e.g.\, inter-turn short-circuits\, demagnetization\, and bearing faults)\, which is essential for ensuring safety and reliability in transportation and industry. Furthermore\, the talk will highlight AI-driven innovations in motor design\, such as noise-reduction\, offering insights into how AI can revolutionize traditional motor systems and contribute to ongoing improvements in predictive maintenance and design practices.\nAgenda:\n6:30 – 7:00	Socializing and Networking at Quadrant\n6:55	Zoom session will be online with Waiting Room\n7:00 – 7:45	Lecture begins\, online and in person\n7:45 – 8:00	Questions and Answers\n1120 Ringwood Ct\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/481023
URL:https://svec.org/event/artificial-intelligence-assisted-design-and-fault-diagnosis-of-electric-motors-for-green-transportation/
LOCATION:1120 Ringwood Ct\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/481023
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250627T113000
DTEND;TZID=America/Los_Angeles:20250627T130000
DTSTAMP:20260405T060321
CREATED:20250603T031809Z
LAST-MODIFIED:20250603T031809Z
UID:75917-1751023800-1751029200@svec.org
SUMMARY:Monolithic Co-integration of III-V Materials into Foundry Si-CMOS in a Single Chip for Novel Integrated Circuits
DESCRIPTION:As Moore’s Law is slowing down and eventually approaching an end for conventional CMOS\, new platforms for producing circuit-level innovation are desired. At the same time\, it is not desirable to throw away the existing Si-CMOS infrastructure to start new. This talk presents an overview of the 10-year research program\, which is a “vertical” innovative platform by “inserting” III-V layers into a conventional Si-CMOS foundry process. The talk also presents a unified compact model for generic GaN/InGaAs-based HEMTs in the context of the hybrid III-V + CMOS technology developed for future heterogeneous integrated circuits. The developed model has been implemented in a hybrid III-V/CMOS foundry PDK for designing heterogeneous circuits in III-V/Si monolithically co-integrated technology.\nWhen: Friday\, June 27th\, 2025 – 11:30AM to 1PM (PDT)\n11:30AM – 12PM: Networking / Pizza\n12PM-12:45PM: Lecture\n12:45PM-12:55PM: Q&A\n1PM Adjourn\nBio:\nDr. Xing Zhou obtained his B.E. degree in electrical engineering from Tsinghua University in 1983\, M.S. and Ph.D. degrees in electrical engineering from the University of Rochester in 1987 and 1990\, respectively. He has been with the School of Electrical and Electronic Engineering\, Nanyang Technological University (NTU)\, Singapore from 1992 to 2024. His past research interests include Monte Carlo simulation of photocarrier transport and ultrafast phenomena as well as mixed-mode circuit simulation and CAD tool development. His research at NTU mainly focuses on nanoscale CMOS compact model development. His research group has been developing a unified core model for nanoscale bulk\, SOI\, double-gate\, nanowire CMOS\, as well as III-V HEMTs. He has given more than 150 IEEE EDS distinguished lectures and invited talks at various universities as well as industry and research institutions. Dr. Zhou was the founding chair for the Workshop on Compact Modeling (WCM) in association with the NSTI Nanotechnology Conference (2002–2018). He was an editor for the IEEE Electron Device Letters (2007–2016)\, a guest Editor-in-Chief for the special issue of the IEEE Transactions on Electron Devices (Feb. 2014) on compact modeling of emerging devices\, and a member of the Modeling & Simulation subcommittee for IEDM (2016\, 2017). He was an Elected Member-at-Large of EDS Board of Governors (2004–2009; 2011–2016) and served as Vice-President for Regions/Chapters (2013–2015). He has been an EDS Distinguished Lecturer since 2000. He is a Life Senior Member of the IEEE and currently serves as chair for the RS/EPS/EDS Singapore Joint Chapter.\nSunnyvale\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/487617
URL:https://svec.org/event/monolithic-co-integration-of-iii-v-materials-into-foundry-si-cmos-in-a-single-chip-for-novel-integrated-circuits/
LOCATION:Sunnyvale\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/487617
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250626T183000
DTEND;TZID=America/Los_Angeles:20250626T200000
DTSTAMP:20260405T060321
CREATED:20250611T051812Z
LAST-MODIFIED:20250611T051812Z
UID:75937-1750962600-1750968000@svec.org
SUMMARY:Datacenter VR Power Delivery Solutions
DESCRIPTION:The SFBAC (combined Santa Clara Valley\, San Francisco\, & Oakland/East Bay) IEEE Power Electronics Society (PELS) is very pleased to invite you to our upcoming in-person event celebrating PELS DAY. We are excited and honored to have Dr. Indumini Ranmuthu\, Distinguished Member Technical Staff of the Texas Instruments and the IEEE Power Electronics Society Regional Distinguished Lecturer to speak on the topic of “Datacenter Voltage Regulator Power Delivery Solutions” on June 26\, 2025.\nDoors will open at 6:30pm; the seminar will start at 7:00pm. Snacks and refreshments will be provided free of charge to all attendees.\nRegistration is $5\, payable at the door with the exception for current students who must register with their *.edu emails. You may register ahead of time without paying\, but ALL ATTENDEES (except for students) will need to pay at the door.\nSFBAC PELS WEBSITE LINK: https://r6.ieee.org/scv-pels/\nSeminar Title:\nDatacenter VR Power Delivery Solutions\nThis talk will provide an overview of state of the art point of load VR power delivery solutions for Data center CPUs and power delivery architectures. This talk will expand on 12V to 0.8 1.8V and 5V to 0.8-1.8V 500-1000A VR solutions as well. This will illustrate impacts on efficiency and solution size.\nAbout the Speaker :\nIndumini Ranmuthu is a Distinguished Member Technical Staff (DMTS) in power division at Texas Instruments\, driving design and technology of advanced power products. During his tenure Indumini has advanced the state of the art in power devices and semiconductor process technology. Indumini has over forty US patents and published fifteen IEEE papers. He received his PhD from Iowa State University. He is currently in the Multiphase processor power division at TI. He has been the APEC conference committee chair for Rap sessions since 2017 and was the APEC Rap session chair on power supply on chip for the past 3 years.\nSpeaker(s): Indumini Ranmuthu\nRoom: Team Room (3rd Floor) – Auditorium\, Bldg: Plug and Play Tech Center\, 440 N Wolfe Rd\, Sunnyvale\, California\, United States\, 94085
URL:https://svec.org/event/datacenter-vr-power-delivery-solutions/
LOCATION:Room: Team Room (3rd Floor) – Auditorium\, Bldg: Plug and Play Tech Center\, 440 N Wolfe Rd\, Sunnyvale\, California\, United States\, 94085
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250626T120000
DTEND;TZID=America/Los_Angeles:20250626T130000
DTSTAMP:20260405T060321
CREATED:20250603T031808Z
LAST-MODIFIED:20250603T031808Z
UID:75915-1750939200-1750942800@svec.org
SUMMARY:IEEE SPS SCV - Energy-Efficient Neural Image and Video Compression
DESCRIPTION:This talk addresses modern approaches to image and video compression through the lens of energy-efficient hardware design. Traditional codecs like JPEG and H.264 are increasingly being challenged by learned compression techniques based on deep neural networks\, particularly autoencoders. While these methods offer state-of-the-art performance in rate-distortion trade-offs\, their deployment in real-world systems depends critically on efficient circuit and architectural design. We will explore the structure and training of neural compression models\, including variational autoencoders and entropy bottlenecks\, followed by the challenges of implementing these models in energy- and area-constrained environments such as mobile devices\, cameras\, and edge computing systems.\nSpeaker(s): Mateus Grellert\nVirtual: https://events.vtools.ieee.org/m/487438
URL:https://svec.org/event/ieee-sps-scv-energy-efficient-neural-image-and-video-compression/
LOCATION:Virtual: https://events.vtools.ieee.org/m/487438
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250626T120000
DTEND;TZID=America/Los_Angeles:20250626T130000
DTSTAMP:20260405T060321
CREATED:20250520T030315Z
LAST-MODIFIED:20250520T030315Z
UID:70447-1750939200-1750942800@svec.org
SUMMARY:Approaching System Reliability in the AI Era
DESCRIPTION:[]Ensuring hardware system reliability is increasingly critical in the evolving AI landscape\, particularly within data centers. Drawing upon extensive experience leading reliability initiatives for cutting-edge hardware\, this presentation will outline a general methodology for designing reliable complex AI systems. It will emphasize the necessity of a multidisciplinary approach\, integrating model-based system engineering\, rigorous reliability testing\, and continuous system improvements\, as exemplified by advancements in liquid cooling and power delivery technologies for high-performance AI processors. The talk will focus on the reliability approach needed for resilience in complex\, AI-driven environments.\nSpeaker(s): Venkata Chivukula\,\nVirtual: https://events.vtools.ieee.org/m/485845
URL:https://svec.org/event/approaching-system-reliability-in-the-ai-era/
LOCATION:Virtual: https://events.vtools.ieee.org/m/485845
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250625T183000
DTEND;TZID=America/Los_Angeles:20250625T203000
DTSTAMP:20260405T060321
CREATED:20250531T031808Z
LAST-MODIFIED:20250531T031808Z
UID:75902-1750876200-1750883400@svec.org
SUMMARY:IEEE Santa Clara Valley Section Senior Membership Elevation Event
DESCRIPTION:IEEE Senior Membership Elevation & Networking Event\nHosted by the IEEE Santa Clara Valley Section\nJoin us for a special IEEE Senior Membership Elevation and Networking Event designed to support eligible IEEE members in advancing to Senior Member grade — the highest IEEE membership level that can be achieved through application.\nAt this event\, you'll have the opportunity to:\n–\nMeet with IEEE Senior Members and Fellows who can provide the required references for your Senior Member application\n–\nLearn about the benefits of IEEE Senior Membership\, including recognition\, leadership eligibility\, and professional advancement\n–\nReceive guidance on the application process and how to present your accomplishments effectively\n–\nNetwork with fellow professionals\, including members of the IEEE Santa Clara Valley Section from a range of industries and technical backgrounds\nWhether you're ready to apply or just starting to explore Senior Membership\, this event is an excellent opportunity to connect\, learn\, and take the next step in your IEEE journey.\nEligibility Note: To be considered for Senior Member status\, you should have at least 10 years of professional experience and significant performance over a period of at least 5 years.\nEvent Details:\n???? Sensors Converge\nSanta Clara Convention Center\n5001 Great America Pkwy\nSanta Clara\, CA 95054\n???? June 25 6:30pm-8:30pm\n???? RSVP required – Please register for Sensors Converge Expo Hall Pass using the code IEEESCV\nWe look forward to helping you elevate your IEEE membership and expand your professional network!\n5001 Great America Pkwy\, Santa Clara\, California\, United States
URL:https://svec.org/event/ieee-santa-clara-valley-section-senior-membership-elevation-event/
LOCATION:5001 Great America Pkwy\, California City\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Phoenix:20250625T120000
DTEND;TZID=America/Phoenix:20250625T140000
DTSTAMP:20260405T060321
CREATED:20250608T051010Z
LAST-MODIFIED:20250608T051010Z
UID:75929-1750852800-1750860000@svec.org
SUMMARY:A System of Systems for Cognitive Decision-Making
DESCRIPTION:A System of Systems for Cognitive Decision-Making\nDecision-making is a task that an average person does about 300 to 400 times a day. Most decisions are minor but there are some that are of great importance\, that the decision can have great impact. The Butterfly Effect states that a small action in one part of the world can cause a great effect in another part of the world at some later time.\nThe Gartner Group estimates that by 2028 33% of enterprise applications will include agentic AI\, and that this will enable 15% of daily work decisions to be made autonomously\, without human intervention. . This can be fueled by a combination of shortage of capable humans\, an increase in the cost of human involvement\, and greater AI accuracy and performance. It should be started on a narrow realm of application\, and with knowledge\, experience\, and success\, the realm could be expanded. Human cognitive function is an important part of this paper\, except that we try to create it in the machine environment.\nSome example situations are included to help demonstrate the problem. This paper explains some of the types of decision-making and how they are performed. The paper then continues with how this process\, modeled after an intelligent human would perform the task. This discussion combines computer science\, decision sciences\, psychology\, and mathematics to describe this project.\nSpeaker(s): \, Dr. Morantz\nVirtual: https://events.vtools.ieee.org/m/488111
URL:https://svec.org/event/a-system-of-systems-for-cognitive-decision-making/
LOCATION:Virtual: https://events.vtools.ieee.org/m/488111
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250624T170000
DTEND;TZID=America/Los_Angeles:20250624T190000
DTSTAMP:20260405T060321
CREATED:20250617T053307Z
LAST-MODIFIED:20250617T053307Z
UID:75963-1750784400-1750791600@svec.org
SUMMARY:Generic LLMs in Cybersecurity
DESCRIPTION:Generic Large Language Models (GLLMs) are continually being released with increased size and capabilities\, enhancing the capabilities of these tools as universal problem solvers. While the reliability of GLLMs' responses is questionable in many situations\, these models are often augmented or retrofitted with external resources for various applications\, including cybersecurity.\nThe talk will discuss major security concerns of these pre-trained models: first\, GLLMs are prone to adversarial manipulation\, such as model poisoning\, reverse engineering\, and side-channel cyberattacks. Second\, the security issues related to LLM-generated codes using open-source libraries/codelets for software development can involve software supply chain attacks. These may result in information disclosure\, access to restricted resources\, privilege escalation\, and complete system takeover.\nThis talk will also cover the benefits and risks of using GLLMs in cybersecurity\, particularly in malware detection\, log analysis\, intrusion detection\, etc. I will highlight the need for diverse AI approaches (non-LLM-based smaller models) trained with application-specific curated data\, fine-tuned for well-tested security functionalities in identifying and mitigating emerging cyber threats\, including zero-day attacks.\nNote:\n– You will require a Zoom account (free to obtain) to join the meeting. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account\, not necessarily the one you used to register for the event. Register here: https://sjsu.zoom.us/meeting/register/2XuaGc9ISoCWOu1dt6ANog\n– By registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, indirect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be recorded and will be made available for public viewing.\nCo-sponsored by: Vishnu S. Pendyala\, SJSU\nSpeaker(s): Dr. Vishnu S. Pendyala\, Prof. Dipankar Dasgupta\, IEEE Fellow\, NAI Fellow\, AIIA Fellow\nVirtual: https://events.vtools.ieee.org/m/489327
URL:https://svec.org/event/generic-llms-in-cybersecurity/
LOCATION:Virtual: https://events.vtools.ieee.org/m/489327
END:VEVENT
END:VCALENDAR