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UID:77896-1782288000-1782406800@svec.org
SUMMARY:Center for Advanced Signal and Image Sciences (CASIS) 29th Annual Workshop
DESCRIPTION:We are thrilled to host LLNL’s 30th Center for Advanced Signal and Image Sciences (CASIS) workshop. The workshop returns with a full 2-day in-person schedule on Wednesday and Thursday\, June 24-25\, 2026.\nWe encourage a broad range of technical topics at the workshop and being non-archival apart from original work\, we are also considering intermediate results from ongoing efforts as well as recently published publications for presentation as a talk and/or a poster. The goal of the workshop is to provide a platform for the exchange of ideas and network with peers across disciplines to foster collaboration and build community. Please submit your abstract by Friday\, May 15\, 2026. Authors will be notified of the review decisions one week later on May 22\, 2026.\nApart from the regular presentation track we will feature parallel tutorials\, hands-on mini workshops and a dedicated student track to introduce career opportunities at LLNL.\nThe workshop will be held in-person at the (https://uclcc.org/) and requires pre-registration until June 18\, 2026. As this is a 2-day whole-day workshop\, we will provide coffee and snacks in morning and afternoon breaks as well as a lunch on both days. As this is our 30th anniversary\, we will also host a Happy Hour following the regular program on Wednesday\, June 24\, 2026.\n(https://engineering.llnl.gov/centers/casis/workshops)\nThis year’s workshop features presentations in the following tracks\, moderated by the Program Chairs:\n– AI/Machine Learning (PhanNguyen\, Kowshik Thopalli)\n– National Ignition Facility (Eugene Kur\, Christopher Miller)\n– Non-Destructive Evaluation (Seemeen Karimi\, Harry Martz)\n– Quantum Sensing & Quantum Computing (Kristi Beck)\n– Remote Sensing\, Non-Invasive Imaging & Inverse Problems (Sean Lehman\, Viacheslav Li)\n– Robotics & Automation (Aldair Gongora\, Abhik Sarkar)\n– Student Track: All topics (Poster only) (Ted Bauman\, Min Priest)\nBecome part of this great experience and submit your talk proposal at https://engineering.llnl.gov/centers/casis/workshops before May 15\, 2025!\nCheck out (https://www.llnl.gov/article/53041/annual-workshop-brings-together-signal-image-science-community) for last year’s amazing event to see what to expect!\nThe no-fee CASIS Workshop is sponsored by the (https://engineering.llnl.gov/) and held at the (https://uclcc.org/). It is organized by the (https://engineering.llnl.gov/centers/casis)\, and is a joint meeting with the local chapters of the (https://www.ewh.ieee.org/r6/oeb/SigProc/sigproc.html) and (https://r6.ieee.org/sfoeb-cs/). supported by the (https://r6.ieee.org/oeb/).\nCo-sponsored by: Lawrence Livermore National Laboratory – Center for Advanced Signal and Image Sciences\nBldg: Building 661 L-794\, University of California Livermore Collaboration Center\, 7000 East Ave\, Livermore\, California\, United States\, 94550
URL:https://svec.org/event/center-for-advanced-signal-and-image-sciences-casis-29th-annual-workshop-2/
LOCATION:Bldg: Building 661 L-794\, University of California Livermore Collaboration Center\, 7000 East Ave\, Livermore\, California\, United States\, 94550
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DTSTART;TZID=America/Los_Angeles:20260625T180000
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UID:78497-1782410400-1782414000@svec.org
SUMMARY:Systematically Managing Complexity in Power Electronics Modeling and Design
DESCRIPTION:Power electronics is a foundational technology that drives a wide range of important and emerging applications including cloud computing\, wireless communications\, robotics\, and smart energy systems. By systematically managing the increased complexity in materials\, circuits\, and systems\, new opportunities are created to greatly advance the functionality and performance of power electronics systems.\nThis speech provides a few examples to illustrate the potential of managed complexity in power electronics design. These include: 1) modular and scalable architecture for systematically managed complexity in high performance circuits; 2) artificial intelligence and machine learning for systematically managed complexity in passive component modeling. This managed complexity approach addresses key challenges in emerging applications by overcoming traditional design barriers from new angles and redefining how power electronics are conceived and implemented in complex systems.\nSpeaker(s): Minjie Chen\nMurata Electronics North America\, Inc.\, 1732 North First Street #500\, San Jose\, California\, United States\, 95112
URL:https://svec.org/event/systematically-managing-complexity-in-power-electronics-modeling-and-design/
LOCATION:Murata Electronics North America\, Inc.\, 1732 North First Street #500\, San Jose\, California\, United States\, 95112
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