Join us for a session on how to protect the National Grid. How to prevent gun fire at the transformers, insulators, switch cabinets and transmission lines? What some of the penalties if caught? Are the CCTV cameras any deterrant from approaching the remote substations? What are local Utilities doing to prevent such occurances? What is the response time for local police? Is Cybersecurity a deterrant? Co-sponsored by: IEEE Power and Energy Speaker(s): Sayonsom Chanda, Sarah Davis Agenda: 4:00 pm PST IEEE Announcements 4:02 pm PST Introduction of Sarah Davis Clean Apex Energy 4:04 pm PST Presentation 4:30 pm PST Introduction of Dr. Sayonsom Chanda 4:55 pm PST Q&A Virtual: https://events.vtools.ieee.org/m/340093

Join us for a lunch session on Clean Energy Fusion with Moein Borghei from Avalanche Energy. Fusion energy has been a long-held dream of not just scientists, but also the general public, as a clean, safe, and abundant energy source. Many academic institutions, national labs, and private companies have been and are currently working to generate more power than the amount needed to operate the device. Although progress was slow in the early 2000s, in recent years, the fusion industry has been revitalized and attracted nearly $3 billion in investment in 2022 alone. Avalanche Energy, a VC-backed start-up, is focusing on a novel fusion configuration known as the Orbitron. The Orbitron uses a voltage difference of hundreds of kilovolts to confine the fusion fuels, while co-confining electrons using a weak magnetic field. Unlike conventional power plant-sized fusion reactors, Avalanche Energy is developing a device the size of a lunch pail that allows for rapid testing, low investment, and modularity. Its potential applications are vast, from powering electric vehicles and spacecrafts to providing electricity to remote areas around the world. Additionally, a multi-kW power pack of this size can be used as a distributed generation unit in microgrids, eliminating the uncertainty of renewables and the emissions of fossil fuel-based generators. Co-sponsored by: IEEE Power and Energy Society Speaker(s): Moein Borghei, Agenda: 12:00 pm PST IEEE Announcements 12:02 pm PST Introduction of the Speaker 12:04 pm PST Presentation 12:45 pm PST Q&A Virtual: https://events.vtools.ieee.org/m/344192

Hello IEEE – Computer Society Members, We are excited to invite you to a virtual career panel hosted by (https://www.pce.uw.edu/) (UW PCE) on Thursday, March 2nd from 5-6pm PST! This panel will feature members of the (https://www.pce.uw.edu/certificates/data-science) and (https://www.pce.uw.edu/certificates/machine-learning) programs’ joint advisory board. The panelists will discuss skills needed to get into or advance in the industry, interviewing best practices, technical aspects of data scientists, future of the career path, and more. They will also welcome questions from attendees. Panelists: - (https://www.linkedin.com/in/animohan/), Senior Manager - Solution Architecture, Data Science & Machine Learning @ NVIDIA Corp - Anish Mohan leads a team building Data Science and Machine Learning Solutions with key NVIDIA customers in the greater Seattle region. Before NVIDIA, he was at Microsoft’s AI Division, working to develop and deploy AI and ML solutions. - (https://www.linkedin.com/in/ericnichols/), Staff Machine Learning Engineer @ Cruise - Eric Nichols has been working in machine learning roles in the tech industry for the past decade. He received a Ph.D. in computer science and cognitive science at Indiana University in 2012 for work in computer models of music cognition. After that he worked at Google and then Microsoft in projects related to music and audio understanding and generation with deep learning, and led a home recommendations team at Zillow. Recently he moved to Cruise to work on deep learning-based simulation for self-driving cars. - Janet Matsen, Software Engineer, Machine Learning @ Benchling - Janet Matsen specializes in Machine Learning for Biotechnology. She is currently at Benchling, on a new machine learning team that is figuring out how machine learning can make their ~1100 customers more efficient. Previously she was at Zymergen, developing algorithms to design new organisms that can make valuable chemicals. We encourage you to learn more about UW PCE and the programs we offer. Reach out to enroll@pce.uw.edu with questions about our offerings. We hope to see you there! Co-sponsored by: UW PCE Virtual: https://events.vtools.ieee.org/m/349839