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SSIT 2025 Plans, ISTAS25, and Pizza

Room: 4021, Bldg: SCDI, 500 El Camino Real, Santa Clara University, Santa Clara, California, United States, 95053

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

Climate Restoration Using Natural Processes

673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/481889

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

Grid Reliability and Its Vital Signs

Room: Golden Gate Room, 505 Van Ness Ave, San Francisco, California, United States, 94102, Virtual: https://events.vtools.ieee.org/m/484938

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

New Materials and Interface Effects In Charge and Spin Transport In Magnetic Heterostructures

1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/480903

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 RuO<sub>2</sub> 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 (Ni<sub>80</sub>Fe<sub>20</sub>) 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

Artificial Intelligence-Assisted Design and Fault Diagnosis of Electric Motors for Green Transportation

1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/481023

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