Agentic AI represents a groundbreaking shift in artificial intelligence, enabling systems to act autonomously, make decisions, and achieve goals with minimal human intervention. This talk explores the concept of Agentic AI, its various types, adoption trends, and the transformative impact it is poised to have on industries and societies. From reshaping workflows to influencing ethical frameworks, we’ll examine how this emerging technology drives innovation and redefines humanity’s relationship with intelligent systems. Note: - 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. - 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. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Narayan Srinivasa, IEEE Fellow , Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/479545

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.): https://sjsu.zoom.us/meeting/register/fqCZULv_SnWzwEZ3Tz2MJw Abstract Cyber risks are not just technical issues but fundamental business challenges with profound financial and reputational implications. This keynote addresses the intersection of cybersecurity and business strategy, offering practical insights to help executives and business leaders prioritize and act on cyber risks meaningfully. Attendees will gain an understanding of how to frame cyber risks as business risks, communicate them effectively to stakeholders, and integrate them into broader organizational strategies. Real-world examples and actionable frameworks will equip leaders with the tools to translate technical threats into business priorities. This presentation will also explore how to allocate resources, measure the effectiveness of cybersecurity programs, and foster resilience across the enterprise. By the end of the session, you will be prepared to engage in informed decision-making that balances cost, compliance, and risk reduction, ensuring your organization is prepared for the challenges of today’s complex risk landscape. Presentation Description In today’s business environment, cyber risk is a growing concern that goes beyond IT departments. It is a strategic issue that requires the attention of executives and business leaders. This keynote presentation offers a business-centric approach to understanding, managing, and mitigating cyber risks, enabling leaders to address these challenges with confidence. Act One begins with an overview of the modern cyber risk landscape, positioning cybersecurity as a core business issue. We will examine the financial and reputational stakes of cyber incidents, grounding the conversation in tangible impacts that resonate with business decision-makers. The audience will leave this section with a clear understanding of why addressing cyber threats is critical to their organization’s success. Act Two focuses on practical strategies for integrating cyber risk into business strategy. This includes defining cyber risks in business terms, aligning cybersecurity efforts with organizational goals, and translating technical concerns into actionable business insights. Attendees will learn how to communicate cyber risks effectively to stakeholders, including boards, executives, and external partners. Key points will include: - Bridging the gap between IT and business through shared understanding. - Prioritizing cyber threats based on their business impact. - Building business-centric cybersecurity strategies that support enterprise objectives. Act Three explores methods for reducing enterprise risk through focused cybersecurity efforts. This includes identifying critical areas for investment, implementing effective controls, and measuring the success of cybersecurity programs. Attendees will learn how to allocate resources efficiently, design controls with maximum impact, and track the business value of their cybersecurity initiatives. By the end of the presentation, participants will have actionable insights and tools to: - View cyber risks through a business lens. - Communicate their significance to internal and external stakeholders. - Develop and implement strategies that prioritize business resilience. This session is ideal for executives, board members, and business leaders looking to enhance their organization’s approach to cyber risk and align cybersecurity efforts with strategic goals. --------------------------------------------------------------- Lessons Learned / Educational Objectives - Understand Cyber Risk as a Business Issue Attendees will learn to frame cyber risks in business terms, connecting them to financial, operational, and regulatory impacts. - Communicate Cyber Risk Effectively Participants will gain strategies for translating technical jargon into language that resonates with boards, executives, and other stakeholders. - Integrate Cybersecurity into Business Strategy Attendees will explore methods to align cybersecurity initiatives with organizational goals, prioritize risks based on business impact, and measure program success. --------------------------------------------------------------- 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. Speaker(s): Dr. Vishnu S. Pendyala, Kayne McGladrey Virtual: https://events.vtools.ieee.org/m/483555

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series, a monthly platform dedicated to spotlighting transformative 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 the cutting edge of what’s possible. This month, we turn our attention to the powerful intersection of Generative AI and data-driven innovation in healthcare and insurance—two industries rapidly evolving under the pressures of precision, personalization, and operational efficiency. In this session, we’ll explore how large language models (LLMs) and multimodal AI systems are revolutionizing clinical workflows and insurance claims processing. From diagnostic support and clinical decision-making to automated claims adjudication, Gen AI is delivering faster, more accurate outcomes for both providers and patients. Key topics include: ✅ AI-powered EHR summarization ✅ Fraud detection and risk scoring ✅ Automated prior authorizations ✅ Claims optimization and compliance ✅ Synthetic data generation and privacy ✅ Cutting-edge techniques like GraphRAG and federated learning You’ll gain insights into how these technologies are not only streamlining administrative tasks, but also enabling scalable, privacy-preserving models that are shaping the future of the healthcare ecosystem. 📅 Don’t miss this opportunity to learn how Gen AI is unlocking new possibilities for innovation, operational excellence, and improved care delivery. Interested in speaking at a future session? Reach out to [email protected]—we’re always looking for passionate voices to lead the conversation. Join us as we learn, connect, and transform the future of technology together! Speaker(s): , Santosh Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Santosh Kumar 06:00pm - 06:30pm Q/A Virtual: https://events.vtools.ieee.org/m/484242

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series, a monthly platform dedicated to spotlighting transformative 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 the cutting edge of what’s possible. This month, we turn our attention to the powerful intersection of Generative AI and data-driven innovation in healthcare and insurance—two industries rapidly evolving under the pressures of precision, personalization, and operational efficiency. In this session, we’ll explore how large language models (LLMs) and multimodal AI systems are revolutionizing clinical workflows and insurance claims processing. From diagnostic support and clinical decision-making to automated claims adjudication, Gen AI is delivering faster, more accurate outcomes for both providers and patients. Key topics include: ✅ AI-powered EHR summarization ✅ Fraud detection and risk scoring ✅ Automated prior authorizations ✅ Claims optimization and compliance ✅ Synthetic data generation and privacy ✅ Cutting-edge techniques like GraphRAG and federated learning You’ll gain insights into how these technologies are not only streamlining administrative tasks, but also enabling scalable, privacy-preserving models that are shaping the future of the healthcare ecosystem. 📅 Don’t miss this opportunity to learn how Gen AI is unlocking new possibilities for innovation, operational excellence, and improved care delivery. Interested in speaking at a future session? Reach out to [email protected]—we’re always looking for passionate voices to lead the conversation. Join us as we learn, connect, and transform the future of technology together! Speaker(s): , Santosh Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Santosh Kumar 06:00pm - 06:30pm Q/A Virtual: https://events.vtools.ieee.org/m/484242

Pizza and helping plan our ISTAS25 conference on AI Evolution & Revolution! Join us for our fourth 2025 SSIT meeting where we'll continue to briefly cover our SSIT Chapter activities for 2025 and ongoing plans for the upcoming "AI Evolution & Revolution" ISTAS25 - International Symposium on Technology and Society https://attend.ieee.org/istas-2025/ conference. We will also have a guest speaker for this meeting (details to be confirmed and announced soon). We continue to be busy planning the ISTAS25 Conference for September 10-13 at Santa Clara University, and still welcome new feedback about our programs, and suggestions for sponsorships and volunteers. Agenda: 6:00 PM Intros and Pizza 6:15 PM SSIT Chapter Updates and Main Meeting 7:30 PM Adjourn Room: 4021, Bldg: SCDI, 500 El Camino Real, Santa Clara University, Santa Clara, California, United States, 95053

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.): https://sjsu.zoom.us/meeting/register/vo5r9OqaSFuqKsuFcww7Cg Synopsis: AR/VR devices promise a new era of immersive computing, where our everyday experience is augmented with helpful information (Augmented Reality), or where we are immersed in fully virtual worlds (Virtual Reality). These systems fuse the physical world and the virtual world through computing resources to provide these immersive experiences rendered on the user's headset. As a result, it allows new opportunities for attackers to compromise the security and privacy of users that are not well understood. Towards understanding the security and privacy challenges in these systems, this talk presents a number of recent attacks we developed on AR/VR systems. One threat model exploits the shared computing resources used by multiple applications on a headset to extract information through side channels; we show attacks that spy on user activity or compromise privacy. Another threat model exploits the shared state among multiple users in a multi-user application, allowing malicious users to inject compromised information or to recover information they are not allowed to access. Other threat models include those that interfere with applications and cause the virtual model to become out of sync with the physical world, causing user motion sickness or bypassing safety guardrails. I will conclude with a discussion of potential defenses and ways to build more secure AR/VR experiences. --------------------------------------------------------------- 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. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Prof. Nael Abu-Ghazaleh Virtual: https://events.vtools.ieee.org/m/485364

This is a hybrid in-person and online event. Pre-registration is required for either. Achieving zero net emissions of carbon dioxide (CO2) is not enough to restore the climate. It is important that we also reduce the current atmospheric CO2 level of 420 ppm to the historically-safe pre-industrial level of below 300 ppm. The most practical way to achieve this goal appears to be the use of ocean iron fertilization to stimulate phytoplankton uptake of carbon dioxide in strategic locations. In this talk, David Snyder will discuss this method, which is based on data from natural processes including hundreds of thousands of years of climate data, and observations from the 1991 Pinatubo and 2022 Tonga volcanic eruptions. He will also describe a pilot project conducted with modern measurement, reporting, and verification technologies, including instrument buoys and satellites, which will help to confirm the approach and refine its methodology. Speaker(s): David Snyder, 673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/481889

IEEE SF/OEB PES, SF IAS, SCV PES/IAS & R6 PES Women in Power (WiP) invite you to join our hybrid lunchtime technical meeting on Grid Reliability and Its Vital Signs by our IEEE PES Distinguished Lecturer & Past PES President Dr. Jessica Bian! The in-person lunch will start at 11:30am at the CPUC Golden Gate Room. The technical meeting will begin at 12:00pm Noon both in-person and virtually. Frequency, voltage, customer interruption. What do these vital signs tell us about the bulk power system? Learn the grid health underlying the vital signs and how to accurately assess them. This lecture will explore reliability aspects of bulk power system so that you will develop a systematic, integrated understanding of how to assess the bulk power system reliability. Additional indicators include energy emergency alerts, transmission outage rates, protection system operations, and resource reserve margin. The presentation will also provide ranges, trends, and driving factors that influence changes in these indicators. Speaker(s): Jessica Bian, Room: Golden Gate Room, 505 Van Ness Ave, San Francisco, California, United States, 94102, Virtual: https://events.vtools.ieee.org/m/484938

In this talk I will discuss a common and pernicious form of technical debt--called design debt, or architecture debt. I will briefly present the theoretical foundation behind this form of debt and present a broad set of evidence demonstrating its dramatic effects on project outcomes. That is the bad news. The good news is that we can automatically pinpoint the causes and scope of such debt. I will describe how we can automatically locate it, measure it, and create the business case for removing it. Finally, I will explain how we can remove--pay down--this debt via refactoring. I will also sketch some of my experiences doing all of this in real-world projects, along with the outcomes. Co-sponsored by: IEEE PES Montreal Chapter Speaker(s): Rick Kazman Agenda: 19:45 Hours - Pizza and Soft Drinks 20:00 Hours - START of Distinguished Lecture 21:00 Hours - END of Distinguished Lecture 21:00 Hours - Start of Q&A, Discussions, Thoughts, etc ALL times are in EDT/EST format Room: Room E-5700, Bldg: ETS - Pavillon E, École de technologie supérieure (ÉTS), 1100 Notre-Dame St W, Montreal, Quebec, Canada, H3C 1K3, Virtual: https://events.vtools.ieee.org/m/485820

A presentation by Professor Guenter Reiss, Ph.D., Bielefeld University, Bielefeld Germany, on magnetic heterostructures which are key devices for spin electronics. An introduction will present examples of basic effects and their applications. We then will discuss several novel materials and interface-induced effects occurring in magnetic heterostructures: The growth of altermagnetic thin films and their integration in magnetic tunnel junctions with barriers such as RuO2 are at present intensively investigated due to their potentially spin-split band structure and related spin currents. X-ray analysis reveals a high crystalline quality of the films with or without twinning depending on the choice of the substrate. When integrated with an MgO tunnel barrier and a ferromagnetic counter-electrode, signatures of a tunneling magnetoresistance strongly depend on the bias voltage and are not yet fully understood. When integrated with ferromagnets (Ni80Fe20) or heavy metals (Pt), an analysis based on the 2ω method shows the presence of torques in accordance with a spin current at the interface. When replacing the altermagnet by a ferromagnet, the heavy metal can show a proximity-induced ferromagnetism at the interface, which substantially influences the results of well-known phenomena such as the spin Seebeck, anomalous Nernst, or anomalous Hall effects. Examples will be discussed using metallic as well as insulating ferro- or ferrimagnets and recipes for disentangling the many effects will be given. Agenda: 6:30 - 7:00 Socializing and Networking at Quadrant 6:55 Zoom session will be online with Waiting Room 7:00 - 7:45 Lecture begins, online and in person 7:45 - 8:00 Questions and Answers 1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/480903

Harnessing Light for 3D Printing with Upconversion Speaker: Tracy Schloemer Arnold O. Beckman Postdoctoral Fellow Department of Electrical Engineering; Congreve Lab Stanford University Tracy H. Schloemer is currently an Arnold O. Beckman Postdoctoral Fellow at Stanford University in the Department of Electrical Engineering, advised by Prof. Dan Congreve. She earned her B.S. in Chemistry and M.A. in Educational Studies from the University of Michigan in Ann Arbor. Afterwards, she taught high school chemistry in Denver, Colorado, focusing on active learning pedagogies like project-based learning so her students could “do science, not just learn about science.” She was so effective at persuading her students to pursue STEM careers that she accidentally convinced herself to do the same. She later earned her Ph.D. in Applied Chemistry from the Colorado School of Mines in 2019, where she focused on organic semiconductor design for improved operational durability of perovskite solar cells under Prof. Alan Sellinger and in collaboration with the National Renewable Energy Lab. Her research has been published in numerous interdisciplinary journals and featured in prominent media outlets, such as the BBC Podcast “The Naked Scientist.” Her work has also been recognized through several awards, including a fellowship from the Knowles Teaching Initiative, selection for the CAS Future Leaders Program from the American Chemical Society (ACS), a fellowship from the Arnold O. Beckman Foundation, and the ACS Polymeric Materials: Science and Engineering (PMSE) 2024 Future Faculty Award Her interests outside the lab include hiking and cheering on all University of Michigan “sportsball” teams. AGENDA: Thursday June 19, 2025 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Please register on Eventbrite before 9:30 AM on Thursday June 19, 2025 $4 IEEE members $6 non IEEE members (discounts for unemployed and students ) See examplesAdd Co-sponsored by: 636940-Santa Clara Valley Section Chapter,EMB18 Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051

In celebration of IEEE Women in Engineering (WIE) Day, the IEEE WIE Affinity Groups from Oregon, Hawaii, Utah, Spokane, Santa Clara Valley, San Diego, Richland, Phoenix, and Foothill of IEEE Region 6 and IEEE WIE AG SB DU of IEEE R10 proudly invite you to an empowering and timely panel discussion: “Thriving in an AI & Emerging Tech World: Opportunities and Challenges for Women Engineers” Join us for an inspiring conversation exploring how AI, automation, and digital transformation are reshaping the engineering landscape and redefining the future of work. This dynamic event will bring together globally recognized engineers, researchers, and industry leaders who will share: - The evolving role of engineers in an AI-driven world - Opportunities and challenges uniquely faced by women in emerging technologies - Strategies for upskilling, career advancement, and impactful leadership in a fast-paced tech environment Speaker(s): Prof. Saifur Rahman, Dr. Winnie Ye , Celia Shahnaz, John D. McDonald, P.E, Jill Gostin, David Koehler Virtual: https://events.vtools.ieee.org/m/486034

Advances in flexible, deployable, and deformable structures and sensors require efficient simulation tools that capture nonlinear geometry and material behavior. We propose a machine learning (ML) approach using neural networks (NN) to simplify simulations, enabling the creation of digital twins and facilitating sim-to-real transfer in structural mechanics. This talk presents a case study using neural networks (NN) to create a reduced-order model for the dynamic simulation of a slinky, a popular children’s toy made of a pre-compressed helical spring that can stretch and deform. Instead of simulating the entire 3D structure of the slinky, we use a reduced representation based on the deformation of its helix axis, significantly reducing the degrees of freedom (DOFs). The mechanics of this simplified representation are captured using a neural ordinary differential equation (neural ODE), trained with data from high-resolution 3D simulations. This approach enables faster dynamic simulations while maintaining physical accuracy, and thanks to the physics-based nature of our model trained with neural ODEs, it is highly generalizable—adapting to changes in boundary conditions or external forces without the need for retraining. The second part of the talk introduces DiSMech, an open-source software platform for fast simulations of flexible structures, which was used in the slinky study. DiSMech aims to enable researchers at all levels to explore the mechanics of soft robots and flexible structures/sensors, driving innovation in robotics research and education. Built on a discrete differential geometry (DDG) approach, it offers a practical alternative to computationally intensive conventional simulation tools. Speaker(s): Dr. M. Khalid Jawed Agenda: 6:50 - 7 PM: Registration 7-8 PM: Talk and Q&A Virtual: https://events.vtools.ieee.org/m/489214

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting transformative innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series unites professionals, students, and tech enthusiasts to explore the cutting edge of what’s possible. Following a highly engaging May session filled with thought-provoking conversations on Gen AI in healthcare and insurance, we’re thrilled to bring you a powerful double-feature this June that explores both the strategic and technical sides of artificial intelligence. This month, we shift focus to the evolving AI ecosystem, with two compelling talks. As AI adoption accelerates across industries, organizations face significant challenges with integration, scalability, and security. At the same time, large language models (LLMs) are transforming how we build, deploy, and interact with intelligent systems. In this session: 🔹 The first talk dives into enterprise-level strategies to overcome AI integration hurdles, addressing legacy systems, data silos, and fragmented infrastructure to enable scalable, secure solutions. 🔹 The second talk takes you behind the scenes of LLMs—unpacking how they’re trained, optimized, and deployed—with real-world use cases that reveal how these models are powering next-generation applications. Key topics include: ✅ Scalable and secure AI architectures ✅ Bridging strategy and execution in AI adoption ✅ Training pipelines, fine-tuning, and inference of LLMs ✅ Bias mitigation, privacy, and responsible AI practices ✅ Cross-domain LLM applications in real-world scenarios Whether you're building AI strategies at the enterprise level or curious about the inner workings of LLMs, this session delivers valuable insights, practical takeaways, and a deeper understanding of AI’s rapidly growing impact. 📅 Don’t miss this opportunity to dive into the evolving world of enterprise AI and model development—where practical integration meets technical innovation. 🎤 Interested in speaking at a future session? Reach out to [email protected]—we’re always looking for passionate voices to lead the conversation. Join us as we learn, connect, and shape the future of emerging technologies—together. Speaker(s): Pradyumna, Tharun Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Pradyumna Amasebail Kodgi 06:00pm - 06:30pm Speaker: Tharun Sure 06:30pm - 07:00pm Q/A Virtual: https://events.vtools.ieee.org/m/487510

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. The 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. This 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. Note: - 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 - 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. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Prof. Dipankar Dasgupta, IEEE Fellow, NAI Fellow, AIIA Fellow Virtual: https://events.vtools.ieee.org/m/489327

A System of Systems for Cognitive Decision-Making Decision-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. The 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. Some 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. Speaker(s): , Dr. Morantz Virtual: https://events.vtools.ieee.org/m/488111

IEEE Senior Membership Elevation & Networking Event Hosted by the IEEE Santa Clara Valley Section 📅 June 25 6:30pm-8:30pm 📝 RSVP required - Please register for Sensors Converge Expo Hall Pass using the code IEEESCV Join 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. At this event, you'll have the opportunity to: - Meet with IEEE Senior Members and Fellows who can provide the required references for your Senior Member application - Learn about the benefits of IEEE Senior Membership, including recognition, leadership eligibility, and professional advancement - Receive guidance on the application process and how to present your accomplishments effectively - Network with fellow professionals, including members of the IEEE Santa Clara Valley Section from a range of industries and technical backgrounds Whether 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. Eligibility 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. Event Details: 📍 Sensors Converge Santa Clara Convention Center 5001 Great America Pkwy Santa Clara, CA 95054 📅 June 25 6:30pm-8:30pm 📝 RSVP required - Please register for Sensors Converge Expo Hall Pass using the code IEEESCV Please note that registration closes at 5 pm on June 25 so if you haven't picked up the badge before 5pm, you will need to arrive before 5 pm to pick up a badge, which is needed to gain entry to both 40th anniversary reception as well as the IEEE SCV Senior Membership Elevation Event We look forward to helping you elevate your IEEE membership and expand your professional network! 5001 Great America Pkwy, Santa Clara, California, United States

[]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. Speaker(s): Venkata Chivukula, Virtual: https://events.vtools.ieee.org/m/485845

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. Speaker(s): Mateus Grellert Virtual: https://events.vtools.ieee.org/m/487438

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. Doors will open at 6:30pm; the seminar will start at 7:00pm. Snacks and refreshments will be provided free of charge to all attendees. Registration 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. SFBAC PELS WEBSITE LINK: https://r6.ieee.org/scv-pels/ Seminar Title: Point of load power converters and Processor power delivery Point of load converters are being used in a variety of applications. Efficiency, power density, size, cost, transient response and output current capability are some of the driving requirements. These requirements are severely challenged when powering modern data centers and AI processors. These processors are demanding up to 2000 Amp power supply solutions with increasing efficiency and transient performance. Given this, there is significant innovation happening in this area. This lecture will explain challenges and considerations of point of load power converters, how they are used for AI processors and data center processors, high performance processor power delivery and trends. About the Speaker : Indumini Ranmuthu is a distinguished member of technical staff in the power division at Texas Instruments. During his tenure Indumini has designed state of the art in power devices and semiconductor process technology. Indumini has over forty five US patents and published several IEEE papers. He received his PhD from Iowa State University. He is a distinguished lecturer for IEEE power electronics society USA and the IEEE Applied power electronics conference committee chair for debate sessions. He is currently in the high performance processor power division at TI. Speaker(s): Indumini Ranmuthu Room: Team Room (3rd Floor) - Auditorium, Bldg: Plug and Play Tech Center, 440 N Wolfe Rd, Sunnyvale, California, United States, 94085

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. When: Friday, June 27th, 2025 – 11:30AM to 1PM (PDT) 11:30AM - 12PM: Networking / Pizza 12PM-12:45PM: Lecture 12:45PM-12:55PM: Q&A 1PM Adjourn Bio: Dr. 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. Sunnyvale, California, United States, Virtual: https://events.vtools.ieee.org/m/487617

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. Agenda: 6:30 - 7:00 Socializing and Networking at Quadrant 6:55 Zoom session will be online with Waiting Room 7:00 - 7:45 Lecture begins, online and in person 7:45 - 8:00 Questions and Answers 1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/481023