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 [] Abstract: Precision manufacturing at the nanoscale faces a fundamental energy bottleneck: achieving the resolution needed for next-generation devices requires laser powers so high they severely limit throughput and scalability. In this talk, I will present a breakthrough solution developed at Harvard and Stanford using triplet-triplet annihilation upconversion, a process where two low-energy photons create one high-energy photon. By encapsulating specialized light-converting molecules in protective silica shells, we can trigger photopolymerization deep within printing resins using laser powers orders of magnitude lower than existing methods. This approach not only dramatically reduces energy requirements but also enables flexible printing strategies, from single-point precision to parallel processing, which opens new possibilities for scalable nanomanufacturing. Read more: Technical review article: https://pubs.acs.org/doi/abs/10.1021/acsnano.3c00543 Research article: https://www.nature.com/articles/s41586-022-04485-8 IEEE Spectrum article: https://ieeexplore.ieee.org/abstract/document/10271352 [] 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, Foothill, and Coastal Los Angeles 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

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 swapnali.karvekar@ieee.org—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

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 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 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

[]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

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