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DTSTART;TZID=America/Los_Angeles:20251113T113000
DTEND;TZID=America/Los_Angeles:20251113T131500
DTSTAMP:20260404T165111
CREATED:20250930T114826Z
LAST-MODIFIED:20250930T114826Z
UID:77174-1763033400-1763039700@svec.org
SUMMARY:Rethinking Chip Design to deliver Faster\, Smarter\, More Compact Solutions
DESCRIPTION:Rethinking Chip Design to deliver Faster\, Smarter\, More Compact Solutions\n[]\nAbstract:\nCDimension is rethinking chip design from the ground up\, delivering solutions that are faster\, smarter\, and more compact.\nWe’re moving beyond the limitations of traditional technology.\nOur foundational innovations in advanced materials and semiconductor integration unlock unprecedented gains in performance\, efficiency\, and scalability – ranging from 10x to 1\,000x times greater than current approaches.\nOur first milestone: the commercial release of ultra-thin 2D semiconductor materials — a foundational step toward our vision of vertically integrated systems that unify compute\, memory\, and power.\n[]\nSpeaker:\nDr. Jiadi Zhu\nCEO\nCDimension\nJiadi Zhu is the CEO and founder of CDimension\, a company rethinking chip design to deliver faster\, smarter\, more compact solutions for the most demanding and complex computing workloads. His vision is to redefine how chips are designed\, not just for higher performance\, but for fundamentally better structure and efficiency.\nJiadi’s technical foundation spans over a decade of work at the frontier of 2D materials\, monolithic 3D integration\, and device scaling. He earned his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology and has been recognized across both academia and industry for his originality in device design\, novel semiconductor materials\, and integration.\nHis research–from MIT to the lab bench of CDimension–has focused on how to break architectural bottlenecks through physics-aware\, layout-driven design. Jiadi’s research has been widely cited in the field and published and presented in top-tier journals and conferences\, including Nature Nanotechnology and IEEE’s International Electron Devices Meeting.\nJiadi’s transition from research into startup leadership has drawn attention from leaders in semiconductors\, high-performance computing\, and next-generation AI hardware. Today\, under Jiadi’s leadership\, CDimension is overcoming the limitations of traditional chip architectures and delivering significantly better performance\, efficiency\, and scalability across modern computing environments.\nAGENDA:\nThursday November 13\, 2025\n11:30 AM: Networking\, Pizza & Drinks\nNoon — 1 pm: Seminar\nPlease register on Eventbrite before 9:30 AM on Thursday November 13\, 2025\n$4 IEEE members $6 non IEEE members\n(discounts for unemployed and students )\nSee examplesAdd\nCo-sponsored by: 636940-Santa Clara Valley Section Chapter\,EMB18\nBldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road\, EAG Labs\, 810 Kifer Road\, Sunnyvale\, California\, California\, United States\, 95051
URL:https://svec.org/event/rethinking-chip-design-to-deliver-faster-smarter-more-compact-solutions/
LOCATION:Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road\, EAG Labs\, 810 Kifer Road\, Sunnyvale\, California\, California\, United States\, 95051
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251112T190000
DTEND;TZID=America/Los_Angeles:20251112T200000
DTSTAMP:20260404T165111
CREATED:20251106T134807Z
LAST-MODIFIED:20251106T134807Z
UID:77371-1762974000-1762977600@svec.org
SUMMARY:Tech Talks: Overlap Between Classical Statistics and Modern AI & AI in Human Resources
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):\nFirst Speaker: Swetha Manohar RM ((https://www.linkedin.com/in/-swethavbenchsales))\nTitle: Artificial Intelligence HR: Candidature for Foreign Job Recruitment and India Recruitment\nAbstract: In international job markets\, artificial intelligence (AI) is transforming HR recruitment. Language translation\, automated resume screening\, cultural fit evaluation\, and international talent acquisition are all made possible by AI-powered solutions. AI broadens the talent pool\, offers individualized assistance\, and forecasts talent requirements using predictive analytics. The advantages include cost savings\, better hiring decisions\, enhanced candidate experience\, and higher efficiency. Integration with current HR systems\, bias prevention\, and data quality are among the difficulties. Businesses may improve the efficacy\, efficiency\, and candidate experience of recruitment by utilizing AI. AI-powered HR tools\, including standalone programs and comprehensive platforms\, streamline HR functions like hiring\, payroll\, performance reviews\, and employee engagement\, enhancing efficiency\, accuracy\, and allowing HR professionals to focus on strategic initiatives.\nBio: I am a dedicated and results-driven professional with over 16 years of experience in end-to-end Technical Recruitment\, Bench Sales\, Consultant and Vendor Management\, and Training & Development. I have provided services to top U.S. IT companies\, helping them acquire the best resources for their job requirements. My expertise lies in handling all types of technical requirements\, identifying top consultants\, and successfully placing our H1B candidates in leading IT firms across the U.S. Skilled in technologies such as Java\, .NET\, Oracle\, and Clinical SAS\, I take pride in building strong vendor relations and driving organizational growth.\nSecond Speaker: Sri Budaraju ((http://linkedin.com/in/ambareesh-b-323b98270))\nTitle: Can Simple Regression Compete with Artificial Intelligence? Exploring the Overlap Between Classical Statistics and Modern AI\nAbstract: This talk explores the comparison of classical regression models\, often taught in an introductory statistics course\, compared with the modern AI and machine learning models in predicting real-world outcomes. Using real datasets from reputed sources like Kaggle\, this research dives into comparing the accuracy of simple linear and logistic regression methods to the more complex AI systems. This highlights the surprising power of simple statistical techniques and situations in which they are more applicable compared to bigger models for their interpretability and how they play a vital role in the realm of Artificial Intelligence.\nBio: Sri Budaraju (Ambareesh) is an honors student at Las Positas where he is an avid researcher in fields of mathematics & computer science. Sri is experienced in the realm of research as he previously was researching micropropagation and organogenesis in the field of Biotechnology. Sri has been invited and presented his research works at various conferences such as Mission College Symposium & Expo and other ASDRP associated online conferences as well.\nSpeaker(s): Sri Budaraju\, Swetha Manohar\nVirtual: https://events.vtools.ieee.org/m/512749
URL:https://svec.org/event/tech-talks-overlap-between-classical-statistics-and-modern-ai-ai-in-human-resources/
LOCATION:Virtual: https://events.vtools.ieee.org/m/512749
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251112T170000
DTEND;TZID=America/Los_Angeles:20251112T200000
DTSTAMP:20260404T165111
CREATED:20250830T103329Z
LAST-MODIFIED:20250830T103329Z
UID:77016-1762966800-1762977600@svec.org
SUMMARY:AMA (Ask me Anything) with Distinguished Lecturer\, Prof. Alice Smith
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/qGy644m7StmKMra3Xs_x2g\nSynopsis:\nPlease feel free to check out the work and thoughts of Prof. Alice Smith\, Ph.D.\, https://en.wikipedia.org/wiki/Alice_E._Smith\, https://www.eng.auburn.edu/~aesmith/ on Google Scholar at https://scholar.google.com/citations?hl=en&user=3WhioLIAAAAJ&view_op=list_works&sortby=pubdate\, YouTube https://www.youtube.com/results?search_query=%22alice+smith%22+auburn and generally on the Internet.\nThen\, please feel free to submit your questions\n– via Twitter by using the hashtag\, #ProfSmithAMA and tagging @vishnupendyala\n– emailing vspendyala(at)hotmail(dot)com with #ProfSmithAMA in the subject\n– during your registration on Zoom\nSelected questions will be answered by Prof. Smith during the session. Audience may be able to ask follow-up questions during the session\, using the Chat feature.\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\, Prof. Alice Smith\nVirtual: https://events.vtools.ieee.org/m/498694
URL:https://svec.org/event/ama-ask-me-anything-with-distinguished-lecturer-prof-alice-smith/
LOCATION:Virtual: https://events.vtools.ieee.org/m/498694
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251111T190000
DTEND;TZID=America/Los_Angeles:20251111T210000
DTSTAMP:20260404T165111
CREATED:20251017T123428Z
LAST-MODIFIED:20251017T123428Z
UID:77284-1762887600-1762894800@svec.org
SUMMARY:Bell Labs’ Critical BELLMAC-32 Microprocessor Legacy
DESCRIPTION:This is a hybrid in-person and online event. Pre-registration is required for either.\n>> DIFFERENT LOCATION FOR IN-PERSON MEETING THIS MONTH!\nThis presentation will discuss the pioneering microprocessor R&D efforts at Bell Labs in 1976-1982 which created a new chip architecture and physical design. New test and verification methods were needed to overcome challenges in CMOS fabrication\, and many of this project’s inventions were forerunners of subsequent VLSI developments:\n– high-speed domino circuits to reduce complex logic gate delay times\,\n– a twin-tub CMOS process for improved power efficiency and performance\,\n– interconnect-centric logic design for signal delay reduction\,\n– gate-matrix layout which increased density\,\n– 32-bit wide internal and external transfers\, and\n– instructions which implemented certain UNIX operating system and C programming language operations\nAs explained by Michael Condry in an (https://spectrum.ieee.org/bellmac-32-ieee-milestone)\, this device was designed with the intention of carrying both voice and computation into the future\, and CMOS was seen as a promising—but risky—alternative to the NMOS and PMOS designs then in use.\nDuring this talk\, three of the project leaders will describe how their team overcame numerous obstacles\, and how they exceeded their speed goal with a 6.4 MHz device in 2.5 micrometer CMOS technology. These efforts created the BELLMAC-32 series of microprocessors\, whose applications included telephony products. Their work was recognized this year with an (https://ieeemilestones.ethw.org/Milestone-Proposal:Development_of_the_Bellmac_Microprocessor\,_1980).\nSpeaker(s): Michael Condry\, Sung (Steve) Mo Kang \, Victor Huang\n925 Thompson Place\, Sunnyvale\, California\, United States\, 94085\, Virtual: https://events.vtools.ieee.org/m/507828
URL:https://svec.org/event/bell-labs-critical-bellmac-32-microprocessor-legacy/
LOCATION:925 Thompson Place\, Sunnyvale\, California\, United States\, 94085\, Virtual: https://events.vtools.ieee.org/m/507828
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251111T190000
DTEND;TZID=America/Los_Angeles:20251111T194500
DTSTAMP:20260404T165111
CREATED:20251015T123317Z
LAST-MODIFIED:20251015T123317Z
UID:77265-1762887600-1762890300@svec.org
SUMMARY:Product Safety and Compliance Meetup
DESCRIPTION:The Product Safety Engineering Society Bay Area Joint Section Chapter (SCV/SF/OEB) invites you to a virtual meetup of professionals interested in product safety and compliance. We will discuss the future of the chapter and plan future events.\nAgenda:\n– Business Meeting\n– Plan future activity of the chapter\n– New Officer Elections\nVirtual: https://events.vtools.ieee.org/m/507461
URL:https://svec.org/event/product-safety-and-compliance-meetup/
LOCATION:Virtual: https://events.vtools.ieee.org/m/507461
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251110T173000
DTEND;TZID=America/Los_Angeles:20251110T193000
DTSTAMP:20260404T165111
CREATED:20251014T051932Z
LAST-MODIFIED:20251014T175050Z
UID:77250-1762795800-1762803000@svec.org
SUMMARY:Accelerating Startups to Put Enterprise GenAI Multi-Agent Systems in Production
DESCRIPTION:EVENT LOGISTICS\nThe event is hybrid. The audience can attend in Mountain View\, CA or join on Zoom or YouTube \nValley Research Park (VRP)\n319 North Bernardo Ave\nMountain View\, CA 94043\nFrom the locked front door\, go to the right side of the building. The 2nd door will be open. \nAgenda  \n(one hour earlier this time\, for audience in other time zones)\n5:30 people start to arrive\, enjoy pizza and networking. Test your connection and chat.\n6:00 SFBayACM introduces upcoming events and the speaker\n6:00 speaker presentation starts\n7:15 – 7:30 finish\, depending on Q&A \nTALK DESCRIPTION\n– PROBLEM –\nKey Challenges We Will Address for Different Audience Segments \n1. Startups with Funding\, or Looking for Execution Partners\nYou have a strong vertical application and early investment but now you need to grow quickly while focusing on your core value proposition. You may already have a prototype built from initial experimentation but face the challenge of evolving it into a secure\, multi-tenant\, enterprise grade GenAI platform that is compliant\, transparent\, explainable\, and aligned with human values. \n2. Mid Cap and Large Enterprises\nYour teams have built GenAI prototypes yet struggle to solve real problems or get applications into production consistently. You want to identify and overcome the technical\, operational\, and organizational barriers that keep innovation from scaling. \n3. Investors\, VC’s and Venture Partners\nYou are assessing how to reduce costs and risks in your portfolio companies’ GenAI strategies. Understanding why 95 percent of projects fail\, as reported in MIT’s State of AI in Business 2025\, can help you guide founders toward sustainable and successful models. \n4. Product and Engineering Leaders\nYou have ideas\, and aim to design applications that surprise and delight customers by building intelligence that anticipates user intent\, with a Do What I Mean (DWIM) design principle that separates great products from the rest. \n5. Regulated Industry Executives\nIn sectors such as financial services\, healthcare\, or government\, you must ensure AI systems are reliable\, explainable\, auditable\, and fully compliant with evolving laws and governance standards while maintaining speed and innovation. You may also want to monitor your systems\, to comply with various company or security policies. \nWho Should Attend:\nStartup founders\, investors\, product leaders\, and enterprise innovators who want to understand what it really takes to design\, build and scale GenAI systems that work in the real world. \n– SOLUTION –-\nThis talk will answer problems listed above and more. The speaker will first dive into the MIT report\, to better interpret the context of the survey. Lessons learned on how to help GenAI deployments succeed will be discussed. \nStudies that review knowledge worker productivity gains will be reviewed. \nThe speaker will discuss an architecture for a flexible software accelerator framework that can meet the needs for successful GenAI deployments. The framework can be configured to support different applications to meet specific requirements\, combining best-practice software components and design principles. \nGiven an accelerator software architecture with these layers:\nCcube’s Lumin Lab Accelerator software \n\nIntelliConnect (to connect you to the intelligence of the text and data in your company) This lets users ask questions of your corporate knowledge\, for example.\nGuardiance (To provide text classifications to guard your company\, support compliance and AI alignment)\n\n\nTools and software: \n\nMicroservices architecture\nMCP integrations\nMany file types and data sources (i.e. local\, Google drive\, Gmail\, MongoDB)\nEnterprise applications (i.e. SalesForce\, Service Now)\nGenAI personalization\nworkflow support (n8n\, UiPath)\n\n\nGenAI Tools: \n\nRetrieval Augmented Generation (RAG) with Vector Databases\, such as Weaviate or Pinecone\nUse [Guardrails.ai](http://guardrails.ai) as a foundation for text classification. We built on top conditions\, +/- examples per condition\, Boolean combination of conditions into rules. Support many rule actions and rule testing.\nMulti-Agent with: LangGraph\, LangSmith\nMake explicit the dialogue or work product (medium-term memory) that is passed between many agents and users. This work product is persisted over the employees development of a given task.\nLogging channels: system level (tokens\, LLM calls\, costs\, latency)\, user-agent level chat\, agent & LLM thought traces. Scheming detection rules can monitor the thought traces.\nMeaning Markers (auto tagging text with a hierarchy of tags using Named Entity Recognition (NER)\nDesign of Experiments (DoE) to optimize cost and accuracy by varying: prompts\, tools\, LLMs\, embedding models and other architecture choices as they vary over different client requirements and data.\n\nWith the above accelerator software components\, support a variety of vertical applications\, based on the data loaded and configurations. \n– RESULT –\nThe speaker will show a series of demos relating to financial services and healthcare\, as examples of what can be done with such a framework. \n\nCustomer Support application covering portable computers and cell phones\, using both internal trouble ticked data in SalesForce or ServiceNow\, product manuals in PDF or web form and brand related support web sites.\nA medical related demo\, applying about ⅓ of the 150 or so rules needed to cover all of the HIPAA laws around confidential medical information.\nA finance demo around investment advisors\, insider trading or information leaking\nThe design of an upcoming larger demo\, supporting questions over 3 years of S&P500 company data (annual reports\, proxy reports\, websites).\n\nSPEAKER BIO\nGreg Makowski\, https://www.linkedin.com/in/GregMakowski has been training and deploying AI since 1992\, has been growing Data Science Teams since 2010\, has exited 4 startups and has 6 AI patents granted or in various stages. He is currently the Chief of Data Science at Ccube\, leading GenAI/AI consulting and framework development for enterprise applications. See also: https://www.ccube.com/genai. \nSPONSOR INFORMATION\nFrom vision to execution\, Ccube partners with forward-thinking clients to co-build Apps\, Data\, and GenAI solutions across industries. Ccube has 10+ service lines\, 30+ happy clients\, 90% client retention\, and saved clients ~50% costs on average. \nCcube has Silicon Valley roots\, deep expertise\, customer first approach and leverages lean teams for onsite in US and offshore delivery teams in India. \nWatch for us also on\nhttps://www.ccube.com/\nhttps://www.linkedin.com/company/ccube-inc/\nhttps://aws.amazon.com/marketplace \nAs a way to “thank your sponsor”\, Ccube invites you to share your contact info\, and take a brief survey. A summary of the survey results will be shared at the event. \n#ACM\n#SFbayACM \n#GenAI\n#GenAIApplications\n#EnterpriseApplications\n#EnterpriseAIApplications\n#EnterpriseGenAIApplications\n#RAG\n#RetrievalAugmentedGeneration\n#Guardrails\n#AIsafety\n#GenAIcompliance \n#Ccube\n#LuminAILabs\n#IntelliConnect\n#Guardiance \nRegistration/tickets:\nhttps://www.meetup.com/sf-bay-acm/events/311368675/ \n 
URL:https://svec.org/event/accelerating-startups-to-put-enterprise-genai-multi-agent-systems-in-production/
LOCATION:Valley Research Park\, 319 North Bernardo Ave\, Mountain View\, CA.\, Valley Research Park\, 319 North Bernardo Ave\, Mountain View\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251107T114500
DTEND;TZID=America/Los_Angeles:20251107T131500
DTSTAMP:20260404T165111
CREATED:20250924T110348Z
LAST-MODIFIED:20250924T110348Z
UID:77146-1762515900-1762521300@svec.org
SUMMARY:From Mg to Be: Rethinking P-Type Doping Strategies in Wide-Bandgap III-Nitrides
DESCRIPTION:Achieving efficient p-type doping in gallium nitride (GaN) and its alloys remains one of the most critical challenges in realizing the full potential of III-nitride semiconductors for high-power electronics\, deep-ultraviolet (DUV) optoelectronics\, and quantum information technologies. While magnesium is the conventional acceptor dopant\, its high ionization energy (≈0.22 eV in GaN and up to 0.6 eV in AlN) limits hole concentrations to below ~1% activation efficiency\, constraining device performance.\nOur recent work explores beryllium as an alternative acceptor in (Al\,Ga)N\, leveraging metal-organic chemical vapor deposition (MOCVD) to achieve high-quality\, low-defect epitaxial growth. Through extensive photoluminescence and time-resolved spectroscopy studies of over fifty MOCVD grown Be-doped GaN samples\, we identified the UVLBe ​ band at ~3.38 eV as a signature of a shallow Be-related acceptor with an ionization energy of ~113–114 meV — significantly shallower than Mg in GaN. Complementary theoretical studies support the assignment of this shallow state to the BeGa​ONBeGa​ complex\, suggesting a pathway toward achieving p-type conductivity in AlGaN and even AlN alloys.\nIn recent limited MOCVD growth studies on co-doping with oxygen and Be\, we have observed preliminary indications that oxygen incorporation can enhance the signature of the shallow Be acceptor\, though further work is needed to fully establish the efficacy and stability of this co-doping strategy.\nThese results provide new insight into the nature of Be-related defects in GaN and AlGaN\, and they highlight co-doping pathways as a promising route to overcome the long-standing bottleneck of achieving high hole concentrations.\nWhen: Friday\, November 7th\, 2025 – 11:45AM to 1PM (PDT)\n11:45AM – 12PM: Intro\n12PM-12:45PM: Lecture\n12:45PM-12:55PM: Q&A\n1PM Adjourn\nBio:\nDr. F. Shadi Shahedipour-Sandvik is a Professor of Engineering at the State University of New York\, where she leads research on wide bandgap III-nitride semiconductor materials and devices for applications in lighting\, power electronics\, sensing\, and quantum information science. Her work spans two decades of innovation and pioneering work in (Al\,In) GaN materials and device engineering\, with contributions ranging from high-efficiency p-type doping techniques and defect engineering and characterization to novel photocathodes and betavoltaic devices. She has authored nearly 200 publications and delivered invited talks worldwide on growth\, characterization\, device physics with applications in emitters\, power electronics\, and detectors.\nShahedipour-Sandvik lab has been continuously funded by a variety of sources including NSF\, ARL/ARO\, DARPA\, DOE\, ARPA-E\, NASA\, and by industry.\nShe has advised more than a dozen Ph.D. students\, many of whom now hold technical leadership positions in national labs\, and industry.\nShe served as Editor-in-Chief of the Journal of Electronic Materials (2015–2024) and has been recognized with the SUNY Excellence in Research Award and the IBM Faculty Award\, among other honors.\nVirtual: https://events.vtools.ieee.org/m/502836
URL:https://svec.org/event/from-mg-to-be-rethinking-p-type-doping-strategies-in-wide-bandgap-iii-nitrides/
LOCATION:Virtual: https://events.vtools.ieee.org/m/502836
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251106T183000
DTEND;TZID=America/Los_Angeles:20251106T200000
DTSTAMP:20260404T165111
CREATED:20251104T133306Z
LAST-MODIFIED:20251104T133306Z
UID:77363-1762453800-1762459200@svec.org
SUMMARY:A Case Study on How to Use AI in Engineering Management
DESCRIPTION:We will watch this 40-minute video\, which describes how AI is revolutionizing engineering management and people development at one company. The talk explores the practical applications of AI for enhancing leadership capabilities\, from conducting data-driven one-on-ones to delivering impactful feedback and effective performance reviews. It shows how AI can help identify performance patterns\, prepare for difficult conversations\, and generate meaningful insights for team development. Real-world examples and hands-on strategies are presented to illustrate the concepts. The presentation explores how combining AI with structured documentation methods can transform our management approaches.\nThe (https://www.youtube.com/watch?v=4D4pESKKiv8) is entitled: “Devoxx Greece 2025 – Engineering Management in the AI Era” by Dennis Nerush who is Director of AI Engineering at Elementor\, with over 15 years of experience in development\, management\, and engineering leadership.\nAfter watching the video\, we will discuss how we think and feel about its contents. Join us to share your thoughts on how to use AI in engineering management. The goal is for us to walk away with actionable techniques to leverage AI in developing stronger engineering teams while maintaining authentic human connections.\n[]\nParking info:\n(1) There are some 2-hour and some 4-hour parking spaces on Benton / Sherman and Franklin streets.\n(2) There are a number of 2-hour parking spaces next to Bank of America / Starbucks and they are usually not crowded on weeknights. You have to walk across El-Camino traffic light pedestrian crossing. If you get there at 6:20 PM you can park until 8:20PM.\n(3) Enter at the door of the Sobrato building colored in YELLOW.\nRoom: 1302\, Bldg: SCDI\, Santa Clara University\, Santa Clara\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/512221
URL:https://svec.org/event/a-case-study-on-how-to-use-ai-in-engineering-management/
LOCATION:Room: 1302\, Bldg: SCDI\, Santa Clara University\, Santa Clara\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/512221
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251106T173000
DTEND;TZID=America/Los_Angeles:20251106T200000
DTSTAMP:20260404T165111
CREATED:20251018T123319Z
LAST-MODIFIED:20251018T123319Z
UID:77291-1762450200-1762459200@svec.org
SUMMARY:IEEE x Leonis Capital AI Safety Mixer
DESCRIPTION:Join us for an evening of AI safety talks and conversations\, and get to know researchers and practitioners working on some of the most important safety challenges of our time! The(https://www.linkedin.com/company/sfcomputersociety/) and (https://www.leoniscap.com/) are throwing a mixer at the Hanwha AI Center in downtown SF.\n​Whether you're deep in safety research\, building enterprise safeguards\, or thinking about safety-related startups ideas\, come hang out. We'll have drinks and bites while you chat with researchers\, founders\, and others who spend their days figuring out how to make advanced AI systems actually safe and beneficial.\nOur co-host ​(https://www.leoniscap.com/) is a research-driven VC fund based in Silicon Valley. We invest in Seed and Pre-Seed stage companies building AI-native products.\nPlanned Agenda\n–\n​5:30 Open Doors + Networking\n–\n​6:00 Talk 1: (https://www.linkedin.com/in/billstout/) (Technical Director AI Product Safety\, (https://www.linkedin.com/company/servicenow/)) – A layered Enterprise Architecture approach to AI Red Teaming and ownership\n–\n​6:20 Talk 2: (https://www.linkedin.com/in/bbartoldson/) (Researcher\, (https://www.linkedin.com/company/lawrence-livermore-national-laboratory/)) – AI Safety at Scale\n–\n​6:40 Talk 3: (https://www.linkedin.com/in/fadyyanni/) (Co-Founder\, (https://www.linkedin.com/company/hackapromptle/)) – Prompt injection risk landscape\n–\n​7:00 Panel: (https://www.linkedin.com/in/sinharanjan/) (Fellow & CTO\, (https://www.linkedin.com/company/ibm/)\, Enterprise AI and Data)  – Operationalizing AI Safety\n–\n​7:30 Networking + Mixer\nSee talk details on (https://luma.com/ksfp5s1t)\nSpeaker(s): Bill Stout\, Brian Bartoldson\, Fady Yanni\nRoom: Suite 500\, 300 Grant Ave \, San Francisco\, California\, United States\, 94108
URL:https://svec.org/event/ieee-x-leonis-capital-ai-safety-mixer/
LOCATION:Room: Suite 500\, 300 Grant Ave \, San Francisco\, California\, United States\, 94108
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251104T180000
DTEND;TZID=America/Los_Angeles:20251104T200000
DTSTAMP:20260404T165111
CREATED:20251024T130344Z
LAST-MODIFIED:20251024T130344Z
UID:77326-1762279200-1762286400@svec.org
SUMMARY:Prescriptive Maintenance in Semiconductor Manufacturing: A Shift from Reactive to Intelligent Systems
DESCRIPTION:Abstract:\nSemiconductor Tool maintenance is a complex task due to process complexity\, process integration challenges\, and customer requirements. Historically\, maintenance strategies have been reactive due to these complexities. Applied Materials has been focused on moving from a generally reactive method of reacting to tool issues to prescriptive methods of maintaining process equipment. This migration is through a combination of advanced anomaly detection techniques which provide low false positives\, methods of translating fail modes into Reactive Useful Life estimates and ultimately prescribing solutions to issues in advance using Generative Artificial Intelligence. This discussion will cover some of the challenges and solutions to this framework.\nSpeaker(s): Mike\,\nAgenda:\n6:00 – 6:30 – Networking and light dinner (for in person attendees)\n6:30 – 7:30 – Talk and Q & A\n7:30 – 8:00 – Wrap up and Networking\nRoom: SCDI 4010\, Bldg: Sobrato Campus for Discovery and Innovation\, Santa Clara University\, 500 El Camino Real\, Santa Clara\, California\, United States\, 95053\, Virtual: https://events.vtools.ieee.org/m/506966
URL:https://svec.org/event/prescriptive-maintenance-in-semiconductor-manufacturing-a-shift-from-reactive-to-intelligent-systems/
LOCATION:Room: SCDI 4010\, Bldg: Sobrato Campus for Discovery and Innovation\, Santa Clara University\, 500 El Camino Real\, Santa Clara\, California\, United States\, 95053\, Virtual: https://events.vtools.ieee.org/m/506966
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251104T083000
DTEND;TZID=America/Los_Angeles:20251104T153000
DTSTAMP:20260404T165111
CREATED:20251021T123428Z
LAST-MODIFIED:20251021T123428Z
UID:77303-1762245000-1762270200@svec.org
SUMMARY:2025 Silicon Valley Area Workshop on EMC Design of High-Speed Systems (PAID) + FREE Exhibits + FREE TC10 on Signal and Power Integrity mtg
DESCRIPTION:IEEE EMC Chapter is sponsoring the event but no monetary gain is gained or funded by the chapter.\nLocation: Cadence Design Systems\, Bldg 5\, 2655 Seely Ave.\, San Jose\, CA\nRegistration link will bring you to the options of the Paid workshop but also to the Free Exhibit/TC events\n2025 Silicon Valley Area Workshop on EMC Design of High-Speed Systems workshop with Free Exhibit and Free IEEE EMC Technical Committee 10 on Signal and Power Integrity meeting. For more details on the specific agenda including abstract and speakers' bio\, go to https://drive.google.com/file/d/1oHHiBJtyebP1JgqafZF65pR9A0y145uA/view?usp=sharing\nAgenda:\nAgenda\nTable-top Vendor Exhibit in Lobby from 10:20 AM – 2:25 PM\nVendors are still signing up and already include Rohde and Schwarz\, PCB Automation\, Nexperia\, Cadence Design Systems\, PacketMicro\, and Clear Signal Solutions\n8:30 AM Light breakfast and registration\n9:00 AM Welcome remarks and introductions Electromagnetic Compatibility\n9:10 AM EMC Applications of 3D Printable Materials\nDr. Victor Khilkevich\, Missouri Univ. of Sci. and Tech.\n9:45 AM Model-based EMC Analysis and Diagnosis towards Design-for-EMC\nDr. Dipanjan Gope\, SimYog Technology and Indian Institute of Science\n10:20 AM Break and vendor table-top show\n10:45 AM Modeling ESD Protection for High-Speed Applications\nDr. Daryl Beetner\, Missouri Univ. of Sci. and Tech.\n11:20 AM Round Table Discussion – Future directions and challenges in EMC\n11:50 AM Lunch\n12:50 PM Challenges and Opportunity for Data Center Generation and Distributions\nDr. Zhiping Yang\, PCB Automation\n1:25 PM Machine Learning-Assisted Power Delivery Network Design\nDr. Chulsoon Hwang\, Missouri Univ. of Sci. and Tech.\n2:00 PM Break and vendor table-top show\n2:25 PM Challenges with next generation interconnect solutions\nStephen Scearce\, Amphenol\n3:00 PM Round Table Discussion – Future directions and challenges in SIPI for High-\nSpeed Systems\n3:30 PM Happy Hour sponsored by Cadence Design Systems\nIEEE EMC Mini Seminar-Paper Series Sponsored by IEEE EMC Society Technical\nCommittee 10 on Signal and Power Integrity\nSpeakers and papers to be announced. Session will include re-presentation of some\nof the best SI/PI papers from recent conferences.\n4:00 PM End of program\nBldg: 5\, 2655 Seely Ave.\, San Jose\, California\, United States\, 95134
URL:https://svec.org/event/2025-silicon-valley-area-workshop-on-emc-design-of-high-speed-systems-paid-free-exhibits-free-tc10-on-signal-and-power-integrity-mtg/
LOCATION:Bldg: 5\, 2655 Seely Ave.\, San Jose\, California\, United States\, 95134
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251101T090000
DTEND;TZID=America/Los_Angeles:20251101T103000
DTSTAMP:20260404T165111
CREATED:20251021T123428Z
LAST-MODIFIED:20251021T123428Z
UID:77301-1761987600-1761993000@svec.org
SUMMARY:High Performance Inferencing for LLMs
DESCRIPTION:Inferencing has become ubiquitous across cloud\, regional\, edge\, and device environments\, powering a wide spectrum of AI use cases spanning vision\, language\, and traditional machine learning applications. In recent years\, Large Language Models (LLMs)\, initially developed for natural language tasks\, have expanded to multimodal applications including vision speech\, reasoning and planning each demanding distinct service-level objectives (SLOs). Achieving high-performance inferencing for such diverse workloads requires both model-level and system-level optimizations.\nThis talk focuses on system-level optimization techniques that maximize token throughput and minimize cost per token\, maintaining achieve meeting user experience metrics and inference service-provider efficiency. We review several recent innovations including KV caching\, Paged/Flash/Radix Attention\, Speculative Decoding\, and KV Routing\, and explain how these mechanisms enhance performance by reducing latency\, memory footprint\, and compute overhead. These techniques are implemented in leading open-source inference frameworks such as vLLM\, SGLang\, Hugging Face TGI\, and NVIDIA NIM\, which form the backbone of large-scale public and private LLM serving platforms.\nThe use of GPU Training\, Inference and Analysis clusters with Multi-Instance-GPU's (MIG)\, and Federated Models with QML applications is now become practical.\nAttendees will gain a practical understanding of the challenges in delivering scalable\, low-latency LLM inference\, and of the architectural and algorithmic innovations driving next-generation high-performance inference systems.\nCo-sponsored by: eMerging Open Tech Foundation\nSpeaker(s): Ravishankar\,\nAgenda:\n– Introduction to INGR with AIML & QIT working groups (Baw Chng + Prakash Ramchandran) – 10 mts\n– High Performance Inferencing for LLMs – By Dr. Ravishankar Ravindran ( Tech. Director eOTF – Advisory) -60 mts\n– Q&A – 20 mts\nVirtual: https://events.vtools.ieee.org/m/508671
URL:https://svec.org/event/high-performance-inferencing-for-llms/
LOCATION:Virtual: https://events.vtools.ieee.org/m/508671
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251030T173000
DTEND;TZID=America/Los_Angeles:20251030T190000
DTSTAMP:20260404T165111
CREATED:20251028T130332Z
LAST-MODIFIED:20251028T130332Z
UID:77347-1761845400-1761850800@svec.org
SUMMARY:Energy & Climate Research for a Better Environmental Future
DESCRIPTION:“Energy & Climate Research for a Better Environmental Future”\nWith Dr. Evelyn Wang\, Vice President of Energy and Climate at MIT\nFormer Director of ARPA-E\nSponsored by (https://www.mitcnc.org/events/134583)\ncohosted by (https://r6.ieee.org/scv-pesias/)\, (https://r6.ieee.org/scv-lm/)\nSee our chapter event page for a detailed description and promotion code for IEEE discount:\nChapter Page: https://r6.ieee.org/scv-pesias/event/energy-climate-research-for-a-better-environmental-future/\nOr go directly to the MITCNC page without the IEEE discount:\nReservation URL: https://www.mitcnc.org/events/134583\nCo-sponsored by: MIT Club of Northern California\nSpeaker(s): Dr. Evelyn Wang\, Ray Rothrock\nAgenda:\nDate: 30 October 2025\nTime: 5:30 to 7:00 PM PST\nCost: No cost for first 10 IEEE members who register\nRSVP: [](https://www.mitcnc.org/events/134583)\nVirtual: https://events.vtools.ieee.org/m/510539
URL:https://svec.org/event/energy-climate-research-for-a-better-environmental-future/
LOCATION:Virtual: https://events.vtools.ieee.org/m/510539
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251029T183000
DTEND;TZID=America/Los_Angeles:20251029T200000
DTSTAMP:20260404T165111
CREATED:20251014T121824Z
LAST-MODIFIED:20251014T121824Z
UID:77258-1761762600-1761768000@svec.org
SUMMARY:Introduction to Latest Concepts in mmWave Automotive Radar Signal Processing
DESCRIPTION:In-person networking starts at 6:30PM\nTalk: 7:00 PM to 8:00PM\nAbstract: In this talk\, audience will be introduced to the fundamentals and the latest technology concepts of automotive millimeter wave 4D imaging radar which has become an essential part of the autonomous vehicles. An overview of key signal processing challenges\, such as MIMO waveform processing and sparse array angle estimation\, among others\, will also be discussed.\nSpeaker(s): Ryan Wu\,\nSouth Bay (TBD)\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/506686
URL:https://svec.org/event/introduction-to-latest-concepts-in-mmwave-automotive-radar-signal-processing/
LOCATION:South Bay (TBD)\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/506686
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251025T090000
DTEND;TZID=America/Los_Angeles:20251025T123000
DTSTAMP:20260404T165111
CREATED:20250920T110320Z
LAST-MODIFIED:20250920T110320Z
UID:77130-1761382800-1761395400@svec.org
SUMMARY:SIXTH ANNUAL LOS ANGELES IEEE COASTAL LOS ANGELES COMPUTER SOCIETY CYBER SECURITY SUMMIT 2025-SOUTH BAY
DESCRIPTION:[]\nCYBERSECURITY AWARENESS MONTH\nCybersecurity Starts with You: Protect\, Prevent\, Prevail\nSince 2004\, the President of the United States and Congress have declared October to be Cybersecurity Awareness Month. Cyber-attacks on corporations\, governmental agencies and individuals are becoming increasingly widespread and regular\, as well as more complex. The Virtual Sixth Annual Los Angeles IEEE Coastal Los Angeles Computer Society Cybersecurity Summit-South Bay that brings together government officials\, private business executives and cybersecurity experts to discuss the current and emerging threats that exist in today’s sophisticated cyber environment\, and the technological advancements being made to countermeasure and manage these risks.\n (https://www.computer.org/) (https://www.csudh.edu/) (https://www.waseda.jp/top/)(https://www.nubroad.com/)(https://www.isi.edu/) (https://www.ucla.edu/)\n(https://www.stmarytx.edu/) (https://www.scu.edu/) (https://www.linkedin.com/company/immuniweb/) (https://aileap.tech/)https://www.linkedin.com/company/ieee-computer-society-in-san-antonio?lipi=urn%3Ali%3Apage%3Ad_flagship3_messaging_conversation_detail%3B9%2FFvMWdzSWKmSnQdGt1wfQ%3D%3D\nResources for Cyber Security Awareness:\nThink Before You Click: Your Digital Life Depends on It\n(https://www.dhs.gov/topic/cybersecurity)\n(https://www.us-cert.gov/ncas/tips)\n(https://staysafeonline.org/)\n(https://www.dhs.gov/national-cyber-security-awareness-month)\n– (http://www.afcea.org/site/sites/default/files/files/AFC_WhitePaper2015_R3_SPREADS_lowres.pdf)\nCo-sponsored by: Dr. Mehrdad Sharbaf\nAgenda:\nPlease Join us virtually for The Sixth Annual Los Angeles IEEE CLAS Computer Society Cybersecurity Summit-South Bay\nSecure Together: Building a Safer Digital World\nWelcome Keynote Message Time: 9:00 am\nDr. Mehrdad S. Sharbaf\, IEEE Coastal Los Angeles Computer Society- Chair\, Founder & CEO\, Sharbaf and Associates LLC/Adjunct Professor CSUDH\n(https://www.linkedin.com/in/mehrdad-s-sharbaf-30a23214/)\nWelcome Keynote Remark Message\nDistinguished Guest Speaker Professor\, Head of Department\, Associate Dean\, Waseda University\, and IEEE Computer Society Elected President 2025\, Hironori Washizaki\, Time 9:15 am\n(https://www.linkedin.com/in/hironori-washizaki-aa085184/)\nDistinguished Guest Speaker Dr. Chris Mattman\, Chief Data and Artificial Intelligence Officer\, UCLA\, Time 9:30 am\n(https://www.linkedin.com/in/chrismattmann/)\nDistinguished Guest Speaker Dipti Srivastava\, VP/Director Engineering\, Nubroad LLC\, Time 10:00 am\n(https://www.linkedin.com/in/diptishrivastav/)\nDistinguished Guest Speaker Terry Benzel\, Managing Director\, USC Information Sciences Institute\, Former Director\, Networking and Cybersecurity Division at USC Information Sciences Institute\, IEEE Fellow\, Time 10:30 am\n(https://www.linkedin.com/in/terry-benzel-74818/)\nDistinguished Guest Speaker Malek Ben Salem\, Ph.D.\, Founder & CEO\, AILeap\, Time 11:00 am\n(https://www.linkedin.com/in/malek-ben-salem/)\nDistinguished Guest Speaker Dr. Cyril Onwubiko\, Business Information Security Officer at Barclays | Board Member\, IEEE Computer Society Time 11:30am\n(https://www.linkedin.com/in/cyrilonwubiko/)\nDistinguished Guest Speaker Ilia Kolochenko\, PhD.\, CEO at ImmuniWeb | Attorney-at-Law | Adjunct Professor of Cyber Law & Cybersecurity\, Time 12:00pm\n(https://www.linkedin.com/in/kolochenko/)\nAdjourn at 12:30pm\nPlease Join IEEE Computer Society\nBuild your technical skills\, discover new opportunities\, and connect to a global community of technologists.\n(https://www.computer.org/membership)\nVirtual: https://events.vtools.ieee.org/m/497356
URL:https://svec.org/event/sixth-annual-los-angeles-ieee-coastal-los-angeles-computer-society-cyber-security-summit-2025-south-bay/
LOCATION:Virtual: https://events.vtools.ieee.org/m/497356
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251024T140000
DTEND;TZID=America/Los_Angeles:20251024T160000
DTSTAMP:20260404T165111
CREATED:20251016T123320Z
LAST-MODIFIED:20251016T123320Z
UID:77280-1761314400-1761321600@svec.org
SUMMARY:Lecture#2: DEVICE INFORMATICS - applications in Public Health
DESCRIPTION:We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent\, but the term AI was coined (1955) not too long after the invention of computing devices. However\, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see:\n– (https://www.tableau.com/data-insights/ai/history)\n– (https://en.wikipedia.org/wiki/Logic_Theorist)\nWhat has changed\, though\, in recent times\, is the amount of computation that can be performed. GPUs have made tremendous progress\, and it is now possible to do heavy computation with very large amount of memory in real time.\nThe terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior\, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways\, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided\, or one needs enhanced or use better tools.\nNeural networks are normally used to perform AI calculations: Deep Neural Networks (DNN)\, Convolutional Neural Networks (CNN)\, Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works.\nWe will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used.\nWe will go over some caution around data analysis and what to watch out for when using AI.\nSpeaker(s): Dr Md Usman\nAgenda:\n– 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction\n– 14:10 to 14:20 PM : Introduction by Gora Datta\, FHL7\n– 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman\n– The difference between AI and ML\,\n– Biological basis of some AI networks\,\n– Basics of how an AI model is trained and what does it mean\,\n– Advantages and disadvantages of using AI – why should we use it\, and what does it measure anyways?\n– What are large language models (LLM)\, and their usefulness in medicine\,\n– Will understand some examples of using AI\, and\n– Know when to use AI for health measurements.\n– 15:55 to 16:00 PM : Wrap Up\nRoom: Emerald Cove\, Bldg: Bealle Applied Innovation\, 5270 California Ave\, Gora Datta\, Irvine\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/507676
URL:https://svec.org/event/lecture2-device-informatics-applications-in-public-health/
LOCATION:Room: Emerald Cove\, Bldg: Bealle Applied Innovation\, 5270 California Ave\, Gora Datta\, Irvine\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/507676
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251024T090000
DTEND;TZID=America/Los_Angeles:20251024T160000
DTSTAMP:20260404T165111
CREATED:20251021T214129Z
LAST-MODIFIED:20251021T214348Z
UID:77313-1761296400-1761321600@svec.org
SUMMARY:Women in Data Science at IBM
DESCRIPTION:  \nWomen in Data Science at IBM is taking place at IBM’s Silicon Valley Lab in San Jose on Friday\, October 24th. This regional Women in Data Science (WiDS) event is part of a global non-profit initiative that celebrates women’s achievements and inspires others. The event is free and open to all\, aiming to educate\, connect\, and empower our broader community.

This year’s event features inspiring talks from industry leaders on AI\, ethics\, and data science. In-person attendees also get exclusive access to hands-on workshops with IBM Granite and Docling\, networking opportunities\, and a new volunteer activity to support breast cancer survivors. \nNow in its third year\, our WiDS at IBM event has welcomed over 300 in-person and 250 virtual attendees. Past speakers have included exceptional women from organizations such as OpenAI\, Nvidia\, Netflix\, the government and more. Here is a recap of the event from 2024 and 2023. \nSPEAKERS\n🎙️Executive welcome\nPriya Srinivasan\, General Manager\, IBM Software Products (Core & ALM)\, Software Support & SRE \n​​🎙️Storytelling with Agentic AI\nRynne Whitnah\, Senior Ecosystem Engineer/Developer Relations\, IBM \n​🎙️Logs Are All You Need\nSam Zeitlin\, Founder and Owner\, Radically Different Data Science \n​🎙️What’s Next for AI Agents?\nShelby Heinecke\, Senior AI Research Manager\, Salesforce \n🎙️The Rise of Meeting Intelligence\nShruti Bhutaiya\, Senior Machine Learning Engineer\, ServiceNow​ \n🎙️Beyond Obedience: What Building AI Teaches Us About Courage\nAnjali Samani\, Senior Director of Data Science and AI Engineering\, Salesforce \n​🎙️Ethics in Action: A Practical Toolkit to Build Ethical Tech\nManuela Travaglianti\, Project lead – Ethics Toolkit\, Stanford University’s McCoy Family Center for Ethics in Society \n🎙️Analytics in Motion: Meeting Diverse Needs in a Fast-Changing Environment\nCordelia Radin\, Vehicle Performance Analyst\, BART \n🎙️From Imposter Syndrome to Influence: Finding My Voice in Data Science\nSravya Madipalli\, Senior Manager of Data Science\, Grammarly \n🎙️Closing remarks\nSuja Viswesan\, Vice President\, Security and Runtime Products\, IBM \nTENTATIVE AGENDA\n• 9:00am – 9:30am: Registration & Networking\n• 9:30am – 12:00pm: Workshops\n• 12:00pm – 1:00pm: Lunch\, Networking & Volunteering\n• 1:00pm – 3:30pm: Talks\n• 3:30pm onwards: Networking \nRegistration:  https://luma.com/mm01kuy9
URL:https://svec.org/event/women-in-data-science-at-ibm/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251023T120000
DTEND;TZID=America/Los_Angeles:20251023T130000
DTSTAMP:20260404T165111
CREATED:20250915T110524Z
LAST-MODIFIED:20250915T110524Z
UID:77110-1761220800-1761224400@svec.org
SUMMARY:The New Role of Solder Joints for AI and HPC Interconnects
DESCRIPTION:[](to be provided — please check back)\nSpeaker(s): Tae-Kyu Lee\,\nVirtual: https://events.vtools.ieee.org/m/501073
URL:https://svec.org/event/the-new-role-of-solder-joints-for-ai-and-hpc-interconnects/
LOCATION:Virtual: https://events.vtools.ieee.org/m/501073
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251022T190000
DTEND;TZID=America/Los_Angeles:20251022T200000
DTSTAMP:20260404T165111
CREATED:20251007T120330Z
LAST-MODIFIED:20251007T120330Z
UID:77198-1761159600-1761163200@svec.org
SUMMARY:Tech Talks: Prompt Engineering Toolkit & AI-Driven Database Administration
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):\nFirst Speaker: Praveen Gupta ((https://www.linkedin.com/in/guptapraveen2/))\nTitle: Prompt Engineering Toolkit: Building with LLMs at Scale\nAbstract: The Prompt Engineering Toolkit offers a solution\, providing a comprehensive framework for authoring\, testing\, and evaluating prompts. This approach enables the easy creation\, testing\, sharing\, and dynamic customization of prompts\, supporting collaboration and utilizing evaluation methods like LLM as Judge and Human-in-the-loop to ensure prompt quality and monitor performance at scale.\nBio: Praveen Gupta is a Senior Software Engineer at Uber with over 17 years of experience building transformative products that scale to millions of users worldwide. At Uber\, he leads the design and implementation of scalable systems\, including initiatives for the Autonomous Vehicle Support platform in collaboration with multiple AV providers.\nPreviously\, Praveen spearheaded the development of Adobe Marketo Data Streams\, a product now used by enterprise leaders such as Google\, Amazon\, and Microsoft ((https://blog.developer.adobe.com/introducing-the-adobe-marketo-engage-data-streams-61198b567fbb)). Earlier in his career at Thomson Reuters\, he helped build a cloud-based tax platform that transformed the indirect tax domain ((https://tax.thomsonreuters.com/en/insights/white-papers/how-the-cloud-beats-on-premise-tax-tech)).\nSecond Speaker: Venkata Keerthi Singamreddy ((https://linkedin.com/in/venkata-keerthi-singamreddy-a950ba32))\nTitle: AI-Driven Database Administration and Performance Optimization with Oracle 23ai\nAbstract: Managing modern enterprise databases is becoming more challenging as workloads grow\, applications demand real-time responses\, and security threats evolve. Traditional database administration often relies on manual tuning\, reactive troubleshooting\, and repetitive maintenance\, which can be time-consuming and error prone. Oracle Database 23ai introduces a new era of AI-powered administration\, designed to automate these tasks and help DBAs stay ahead of performance and security challenges. With capabilities such as AI Vector Search\, automatic workload prediction and resource optimization\, intelligent indexing\, and the built-in SQL Firewall\, Oracle 23ai enables databases to self-tune\, detect anomalies in real time\, and deliver faster\, more reliable performance. This session will cover the common pain points DBAs face today\, and how Oracle 23ai addresses them with automation and predictive intelligence. Real-world use cases and performance benchmarks will be highlighted to show measurable improvements in query response times\, resource efficiency\, and uptime. The talk will also explore how the DBA role is evolving\, shifting from routine maintenance to strategic focus on architecture\, governance\, and innovation. Finally\, we will discuss best practices for adoption and provide a glimpse into the future of AI-driven database management\, where systems self-optimize with minimal human effort.\nBio: Oracle Certified Associate with over 14 years of technical experience as Oracle Database Administrator providing 24/7 support for mission-critical OLTP production systems\, development environments\, and enterprise implementations. Expertise in database installations\, upgrades\, migrations\, patching\, cloning\, and performance tuning across Oracle versions from 10g to 19c on multiple UNIX and Linux platforms. Have deep knowledge of high-availability solutions such as Oracle RAC and Data Guard\, as well as replication and integration technologies including GoldenGate and Exadata. Proficient in Oracle Enterprise Manager (OEM) 12c/13c\, RMAN cloning\, and ZDLRA backup solutions. Skilled in diagnosing and resolving performance issues\, optimizing large-scale database systems\, and automating database tasks using Shell scripting and Ansible. Passionate about the future of AI-driven database solutions and focuses on bridging traditional DBA practices with emerging technologies like Oracle 23ai\, enabling organizations to achieve smarter\, faster\, and more secure database management.\nSpeaker(s): Praveen Gupta\, Venkata Keerthi Singamreddy\nVirtual: https://events.vtools.ieee.org/m/505567
URL:https://svec.org/event/tech-talks-prompt-engineering-toolkit-ai-driven-database-administration/
LOCATION:Virtual: https://events.vtools.ieee.org/m/505567
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251022T171500
DTEND;TZID=America/Los_Angeles:20251022T181500
DTSTAMP:20260404T165111
CREATED:20250918T110443Z
LAST-MODIFIED:20250918T110443Z
UID:77122-1761153300-1761156900@svec.org
SUMMARY:Securing Agentic AI: From Security Risks to Practical Defenses for Autonomous Systems
DESCRIPTION:Agentic AI systems combine autonomy with real-world tool use\, offering transformative potential but also introducing novel risks. This talk will introduce agentic AI and outline key vulnerabilities\, including jailbreaks\, tool hijacking\, model misuse\, and indirect exploitation through prompt injection. It will then focus on security risks associated with the Model Context Protocol (MCP) and conclude with mitigation strategies and practical defenses to enhance the safety of autonomous AI systems in real-world deployments.\nCo-sponsored by: Vishnu S. Pendyala\, San Jose State University\nSpeaker(s): Dewank\, Dr. Vishnu S. Pendyala\nRoom: MLK Room 225\, Dr. Martin Luther King\, Jr. Library (SJSU)\, 150 E San Fernando St San Jose\, California 95112\, San Jose\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/501651
URL:https://svec.org/event/securing-agentic-ai-from-security-risks-to-practical-defenses-for-autonomous-systems/
LOCATION:Room: MLK Room 225\, Dr. Martin Luther King\, Jr. Library (SJSU)\, 150 E San Fernando St San Jose\, California 95112\, San Jose\, California\, United States\, Virtual: https://events.vtools.ieee.org/m/501651
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251021T133000
DTEND;TZID=America/Los_Angeles:20251021T145000
DTSTAMP:20260404T165111
CREATED:20251005T114847Z
LAST-MODIFIED:20251005T114847Z
UID:77192-1761053400-1761058200@svec.org
SUMMARY:General Meeting
DESCRIPTION:General meetings consist of:\n1. Updates on IEEE at UCM Activities.\n2. Opportunities from IEEE and UC Merced (internships\, workshops\, networking\, etc.)\n3. Icebreaker.\n4. Project updates (Humanoid Robot\, Micromouse\, Internation Future Energy Competition).\nAgenda:\nMeeting slides are available upon request as a BOX link.\nRoom: 125\, Bldg: Glacier\, 5200 Lake Rd\, Merced\, California\, United States\, 95343
URL:https://svec.org/event/general-meeting-12/
LOCATION:Room: 125\, Bldg: Glacier\, 5200 Lake Rd\, Merced\, California\, United States\, 95343
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251017T140000
DTEND;TZID=America/Los_Angeles:20251017T160000
DTSTAMP:20260404T165111
CREATED:20251016T123312Z
LAST-MODIFIED:20251016T123312Z
UID:77278-1760709600-1760716800@svec.org
SUMMARY:Lecture#1: DEVICE INFORMATICS - applications in Public Health
DESCRIPTION:We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent\, but the term AI was coined (1955) not too long after the invention of computing devices. However\, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see:\n– (https://www.tableau.com/data-insights/ai/history)\n– (https://en.wikipedia.org/wiki/Logic_Theorist)\nWhat has changed\, though\, in recent times\, is the amount of computation that can be performed. GPUs have made tremendous progress\, and it is now possible to do heavy computation with very large amount of memory in real time.\nThe terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior\, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways\, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided\, or one needs enhanced or use better tools.\nNeural networks are normally used to perform AI calculations: Deep Neural Networks (DNN)\, Convolutional Neural Networks (CNN)\, Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works.\nWe will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used.\nWe will go over some caution around data analysis and what to watch out for when using AI.\nSpeaker(s): Dr Md Usman\nAgenda:\n– 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction\n– 14:10 to 14:20 PM : Introduction by Gora Datta\, FHL7\n– 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman\n– The difference between AI and ML\,\n– Biological basis of some AI networks\,\n– Basics of how an AI model is trained and what does it mean\,\n– Advantages and disadvantages of using AI – why should we use it\, and what does it measure anyways?\n– What are large language models (LLM)\, and their usefulness in medicine\,\n– Will understand some examples of using AI\, and\n– Know when to use AI for health measurements.\n– 15:55 to 16:00 PM : Wrap Up\nRoom: Emerald Cove\, Bldg: Bealle Applied Innovation\, 5270 California Ave\, Gora Datta\, Irvine\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/507631
URL:https://svec.org/event/lecture1-device-informatics-applications-in-public-health/
LOCATION:Room: Emerald Cove\, Bldg: Bealle Applied Innovation\, 5270 California Ave\, Gora Datta\, Irvine\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/507631
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T173000
DTEND;TZID=America/Los_Angeles:20251016T190000
DTSTAMP:20260404T165111
CREATED:20251009T120424Z
LAST-MODIFIED:20251009T120424Z
UID:77206-1760635800-1760641200@svec.org
SUMMARY:AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations
DESCRIPTION:AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations\nIEEE SSCS Distinguished Lecturer Prof. Vanessa Chen\nAbstract: AI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments\, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and generative models to improve circuit robustness and adaptability. RL-based self-healing techniques leverage embedded electromagnetic sensors for real-time monitoring and dynamic fault recovery\, while generative models accelerate design space exploration\, enabling resilient and efficient circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amplifiers\, PMICs\, and multispectral sensors that enhance performance and reliability in harsh environments.\nSpeaker biography: Vanessa Chen earned her Ph.D. in electrical and computer engineering from Carnegie Mellon University in 2013. Before joining Carnegie Mellon University\, she was affiliated with The Ohio State University. During her doctoral studies at Carnegie Mellon from 2010 to 2013\, she conducted research on algorithm-assisted approaches for improving energy efficiency and ultra-high-speed ADCs with on-chip real-time calibration\, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia\, she held positions as a circuit designer at Qualcomm in San Diego and Realtek\, Hsinchu\, Taiwan\, focusing on self-healing RF/Mixed-signal circuits. Her research focuses on AI-enhanced circuits and systems\, which include intelligent sensory interfaces\, RF/mixed-signal hardware security\, and ubiquitous sensing and computing systems. Dr. Chen has received the NSF CAREER Award in 2019. She has been involved in various technical program committees\, including ISSCC\, VLSI\, CICC\, A-SSCC\, and DAC. She also has served as an Associate Editor for several IEEE journals\, including TCAS-I\, TBioCAS\, and OJCAS. Additionally\, she has contributed as a Guest Editor for TCAS-II and ACM JETC. She is currently an IEEE SSCS Distinguished Lecturer in 2025/2026.\nPlease register to allow for proper planning.\nAgenda:\n5:30pm: Networking\n6:00pm: Talk\n7:00pm: Event ends\nRoom: 101/101A EE\, Bldg: Packard \, 350 JANE STANFORD WAY\, STANFORD\, California\, United States
URL:https://svec.org/event/ai-enhanced-rf-mixed-signal-circuits-for-reliable-operations/
LOCATION:Room: 101/101A EE\, Bldg: Packard \, 350 JANE STANFORD WAY\, STANFORD\, California\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T120000
DTEND;TZID=America/Los_Angeles:20251016T130000
DTSTAMP:20260404T165111
CREATED:20250905T104846Z
LAST-MODIFIED:20250905T104846Z
UID:77052-1760616000-1760619600@svec.org
SUMMARY:Brain Machine Interface: Challenges and Opportunities
DESCRIPTION:Title: Brain Machine Interface: Challenges and Opportunities\nDate/Time: (PST)- 12:00pm to 1:00pm Thu\, Oct 16 2025\nAbstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases\, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense\, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence\, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk\, we will delve into specific challenges and approaches to achieve intended targets.\nSpeaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin\, Italy in 2012 and 2013\, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia\, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016\, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology\, USA. From 2016 to 2020\, he was a Postdoctoral Fellow at Stanford University\, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020\, he is an assistant professor in the Bioelectronics Section at Delft University of Technology\, Netherlands\, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces\, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690\n(https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e)\nhttps://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e\nMeeting number:(callto:2539 584 0339)Meeting password:ssHu8Gb3rV3\nJoin from a video system or application\nDial 25395840339@ieeemeetings.webex.com\nYou can also dial (callto:173.243.2.68) and enter your meeting number.    To dial from an IEEE Video Conference System: *(callto:1 2539 584 0339)\nTap to join from a mobile device (attendees only)\n+1-415-655-0002\,\,25395840339## United States Toll\n1-855-282-6330\,\,25395840339## United States Toll Free\nVirtual: https://events.vtools.ieee.org/m/490922
URL:https://svec.org/event/brain-machine-interface-challenges-and-opportunities/
LOCATION:Virtual: https://events.vtools.ieee.org/m/490922
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T120000
DTEND;TZID=America/Los_Angeles:20251016T130000
DTSTAMP:20260404T165111
CREATED:20250905T104846Z
LAST-MODIFIED:20250905T104846Z
UID:77053-1760616000-1760619600@svec.org
SUMMARY:Brain Machine Interface: Challenges and Opportunities
DESCRIPTION:Title: Brain Machine Interface: Challenges and Opportunities\nDate/Time: (PST)- 12:00pm to 1:00pm Thu\, Oct 16 2025\nAbstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases\, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense\, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence\, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk\, we will delve into specific challenges and approaches to achieve intended targets.\nSpeaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin\, Italy in 2012 and 2013\, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia\, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016\, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology\, USA. From 2016 to 2020\, he was a Postdoctoral Fellow at Stanford University\, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020\, he is an assistant professor in the Bioelectronics Section at Delft University of Technology\, Netherlands\, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces\, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690\n(https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e)\nhttps://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m6c4a00669d44ad93e2ae92e1ae33c81e\nMeeting number:(callto:2539 584 0339)Meeting password:ssHu8Gb3rV3\nJoin from a video system or application\nDial 25395840339@ieeemeetings.webex.com\nYou can also dial (callto:173.243.2.68) and enter your meeting number.    To dial from an IEEE Video Conference System: *(callto:1 2539 584 0339)\nTap to join from a mobile device (attendees only)\n+1-415-655-0002\,\,25395840339## United States Toll\n1-855-282-6330\,\,25395840339## United States Toll Free\nVirtual: https://events.vtools.ieee.org/m/490922
URL:https://svec.org/event/brain-machine-interface-challenges-and-opportunities-2/
LOCATION:Virtual: https://events.vtools.ieee.org/m/490922
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T113000
DTEND;TZID=America/Los_Angeles:20251016T131500
DTSTAMP:20260404T165111
CREATED:20250930T114820Z
LAST-MODIFIED:20250930T114820Z
UID:77173-1760614200-1760620500@svec.org
SUMMARY:Next Generation Two-photon 3D Printing Technologies
DESCRIPTION:Next Generation Two-photon 3D Printing Technologies\n[]\nAbstract:\nUtilizing a suite of additive manufacturing technologies for applications in responsive and architected materials\, energy storage\, carbon recycling\, microfluidics\, quantum computing\, and inertial confinement fusion\n[]\n[]Speaker:\nDr. Xiaoxing Xia\nStaff Scientist\nLawrence Livermore National Lab\nXiaoxing Xia is a staff scientist at the Lawrence Livermore National Laboratory\, California\, USA.\nHe leads projects in developing next generation two-photon 3D printing technologies to achieve higher throughput\, finer resolution\, and multi-materials printing capability.\nHis team utilizes a suite of additive manufacturing technologies for applications in responsive and architected materials\, energy storage\, carbon recycling\, microfluidics\, quantum computing\, and inertial confinement fusion.\nHe received his PhD in Materials Science from California Institute of Technology and BA in Physics from University of Chicago.\nAGENDA:\nThursday October 16\, 2025\n11:30 AM: Networking\, Pizza & Drinks\nNoon — 1 pm: Seminar\nPlease register on Eventbrite before 9:30 AM on Thursday October 16\, 2025\n$4 IEEE members $6 non IEEE members\n(discounts for unemployed and students )\nSee examplesAdd\nCo-sponsored by: 636940-Santa Clara Valley Section Chapter\,EMB18\nBldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road\, EAG Labs\, 810 Kifer Road\, Sunnyvale\, California\, California\, United States\, 95051
URL:https://svec.org/event/next-generation-two-photon-3d-printing-technologies/
LOCATION:Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road\, EAG Labs\, 810 Kifer Road\, Sunnyvale\, California\, California\, United States\, 95051
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T070000
DTEND;TZID=America/Los_Angeles:20251016T170000
DTSTAMP:20260404T165111
CREATED:20250521T030320Z
LAST-MODIFIED:20250521T030320Z
UID:70469-1760598000-1760634000@svec.org
SUMMARY:VENDOR TABLE for Grounding and Ground Fault Protection Seminar
DESCRIPTION:*****This vTools link is for purchase of Vendor Tables ONLY! No walk-in registrations.*****\n(Limit of 10 vendor tables so do not delay!)\nThis one-day Technical Seminar will cover the fundamentals of grounding\, bonding\, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full).\nPlease join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company)\, ETAP\, NEMA\, Cummins\, SEL\, and PG&E. Seminar topics will include:\n– Electrical Grounding Systems – An Overview\n– Ground Grid Design and Electric Shock Protection\n– Grounding Electrode Systems and Service Grounding\n– Grounding Recommendations for On-Site Power Systems\n– Generator Stator Ground Fault Protection\n– Distribution Feeder High Impedance Ground Fault Testing\, Findings\, and Mitigation Strategies\nPlan to attend this timely\, educational Seminar. Registration is now open!\nSpeaker(s): Steve Park\, Dr. Haijun Liu\, Mike Stone\, Shen Yoon\, Rogerio Scharlach\, James Tuccillo\nAgenda:\n8:00AM-4:30PM (sign-in opens at 7:15AM)\n*****Vendors should be set up and ready by 7:15AM.*****\nDoubleTree by Hilton Hotel Pleasanton at The Club\, 7050 Johnson Drive\, Pleasanton\, California\, United States\, 94588
URL:https://svec.org/event/vendor-table-for-grounding-and-ground-fault-protection-seminar/
LOCATION:DoubleTree by Hilton Hotel Pleasanton at The Club\, 7050 Johnson Drive\, Pleasanton\, California\, United States\, 94588
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251016T070000
DTEND;TZID=America/Los_Angeles:20251016T170000
DTSTAMP:20260404T165111
CREATED:20250521T030319Z
LAST-MODIFIED:20250521T030319Z
UID:70468-1760598000-1760634000@svec.org
SUMMARY:Grounding and Ground Fault Protection Seminar
DESCRIPTION:This one-day Technical Seminar will cover the fundamentals of grounding\, bonding\, and ground fault protection. The seminar will serve as a primer for engineers and a refresher for experienced engineers. During breaks and lunch there will be opportunities to network with your peers and meet with manufacturers. The registration cost includes a print copy of the Soares Grounding and Bonding 2023 Book (full).\nPlease join us in attending this one-day Technical Seminar which will include an impressive list of speakers from Electrical Reliability Services (a Vertiv Company)\, ETAP\, NEMA\, Cummins\, SEL\, and PG&E. Seminar topics will include:\n– Electrical Grounding Systems – An Overview\n– Ground Grid Design and Electric Shock Protection\n– Grounding Electrode Systems and Service Grounding\n– Grounding Recommendations for On-Site Power Systems\n– Generator Stator Ground Fault Protection\n– Distribution Feeder High Impedance Ground Fault Testing\, Findings\, and Mitigation Strategies\nPlan to attend this timely\, educational Seminar. Registration is now open!\n***** Early-Bird registration closes on June 26\, don’t delay!*****\n(Registration is limited to 100 attendees and must be completed on vTools. No walk-in registrations.)\nSpeaker(s): Steve Park\, Dr. Haijun Liu\, Mike Stone\, Shen Yoon\, Rogerio Scharlach\, James Tuccillo\nAgenda:\n8:00AM-4:30PM (sign-in opens at 7:15AM)\nDoubleTree by Hilton Hotel Pleasanton at The Club\, 7050 Johnson Drive\, Pleasanton\, California\, United States\, 94588
URL:https://svec.org/event/grounding-and-ground-fault-protection-seminar/
LOCATION:DoubleTree by Hilton Hotel Pleasanton at The Club\, 7050 Johnson Drive\, Pleasanton\, California\, United States\, 94588
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251015T110000
DTEND;TZID=America/Los_Angeles:20251015T140000
DTSTAMP:20260404T165111
CREATED:20250827T103407Z
LAST-MODIFIED:20250827T103407Z
UID:76998-1760526000-1760536800@svec.org
SUMMARY:Quarterly Social Meeting and Program
DESCRIPTION:The members of the Oakland/EastBay Life Members Affiliate Group Executive Committee hope your summer has gone well and look forward to seeing you again at our next meeting. The last meeting in July was full of energy and we hope that will continue. In line with our revised concept of pre-scheduling quarterly meetings on fixed dates\, the next meeting will be October 15th at Beeb's in Livermore from 11 am to 2 pm. At this time no speaker has been identified but there will be a meeting either with a speaker to be identified later\, or a self-moderated discussion on topics of current interest to the members. We are announcing the date now so you can reserve the date if so interested. If a speaker is identified this event description will be updated.\nAgenda:\nPresentations\, discussions\, and lunch. Buffet or order from menu depending upon attendance. IEEE Member feee is susidized.\nBldg: Golf course retaurant\, not pro shop\, Beebs Sports Bar & Grill\, 915 Club House Drive\, Liveermore\, California\, United States\, 94551
URL:https://svec.org/event/quarterly-social-meeting-and-program/
LOCATION:Bldg: Golf course retaurant\, not pro shop\, Beebs Sports Bar & Grill\, 915 Club House Drive\, Liveermore\, California\, United States\, 94551
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251014T190000
DTEND;TZID=America/Los_Angeles:20251014T210000
DTSTAMP:20260404T165111
CREATED:20250817T094854Z
LAST-MODIFIED:20250817T094854Z
UID:76897-1760468400-1760475600@svec.org
SUMMARY:3D Modeling for Cardiac Surgical Planning
DESCRIPTION:This is a hybrid in-person and online event. Pre-registration is required for either.\nMedical image-based modeling and digital twins have emerged as powerful tools to support patient-specific cardiac surgical planning in adults and children. This presentation will discuss 3D modeling techniques that provide a complete pipeline from medical image segmentation to 3D anatomic models and blood flow simulations. The technology that makes this possible was recently extended to model the whole heart\, including blood flow\, tissue mechanics\, electrophysiology\, cardiac contraction\, and heart valves.\nThis presentation will also discuss recent applications of tools for clinical decision support. A first example is in adult cardiac surgery\, where patient-specific modeling has been applied for vein graft failure prevention after coronary bypass graft surgery. Another example is in pediatric cardiac surgery where models have been used for clinical decision support in valve repair\, flow re-direction\, and bi-ventricular reconstruction. The program will conclude with a discussion of the open-source software and data resources that are available via the (https://simvascular.github.io/) and the (https://www.vascularmodel.com/).\nSpeaker(s): Alison Marsden\,\n567 Yosemite Dr\, Milpitas\, California\, United States\, 95035\, Virtual: https://events.vtools.ieee.org/m/497126
URL:https://svec.org/event/3d-modeling-for-cardiac-surgical-planning/
LOCATION:567 Yosemite Dr\, Milpitas\, California\, United States\, 95035\, Virtual: https://events.vtools.ieee.org/m/497126
END:VEVENT
END:VCALENDAR