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 A-1424, Bldg: ETS - Pavillon A, 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

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 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

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 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