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SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
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DTSTART;TZID=America/Los_Angeles:20260511T104000
DTEND;TZID=America/Los_Angeles:20260511T114500
DTSTAMP:20260513T222836
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SUMMARY:ECE 290 Seminar: Speaker Asir Intisar Khan - Engineering Heterogeneous Interfaces for Energy Efficient Electronics
DESCRIPTION:Presenter: Asir Intisar Khan\, Assistant Professor in Electrical Engineering and Computer Sciences (EECS)\, University of California\, Berkeley \nDescription: With the rise in global data demands\, energy efficiency in electronics is becoming increasingly important for sustainable progress in AI\, healthcare\, IoT\, and beyond. Emerging technologies\, such as neuro-inspired computing and the 3D integration of logic and memory devices\, offer great promise for overcoming the energy and latency limits of today’s data-intensive applications. Realizing these advances\, however\, require innovations in materials\, transport physics\, and device engineering. In this talk\, I will discuss how atomic-scale engineering and integration of heterogeneous materials and devices can address these intertwined challenges with a few examples from our recent works on (i) engineering heterostructures for low-power memory and high-frequency logic\, (ii) emerging quantum materials for low-resistance interconnects and (iii) nanoscale thermal management strategies. These advances highlight the innovation opportunities in transformative materials and multifunctional nanodevices for 3D-integrated\, energy-efficient electronics. \nBio: Asir Intisar Khan is an Assistant Professor in Electrical Engineering and Computer Sciences (EECS) at the University of California\, Berkeley. He is a faculty scientist in the Materials Science Division at Lawrence Berkeley National Laboratory and serves as a co-director of Berkeley Emerging Technology Research Center. His research focuses on charge\, heat\, and spin transport at nanoscale interfaces of electronic materials to address the energy and latency limits of emerging computing technologies. Khan received his Ph.D. in Electrical Engineering from Stanford University and his BSc from Bangladesh University of Engineering and Technology. His interdisciplinary work has been recognized with the AVS Russell & Sigurd Varian Award\, IEEE Electron Device Society Ph.D. Fellowship\, Materials Research Society Gold Graduate Award\, and several best paper and presentation awards at leading venues\, including the IEEE VLSI\, MRS Fall Meetings\, and the AVS Symposium. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-speaker-asir-intisar-khan-engineering-heterogeneous-interfaces-for-energy-efficient-electronics/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260511T132500
DTEND;TZID=America/Los_Angeles:20260511T143000
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SUMMARY:Living Roots: The Promise of Perennial Foods
DESCRIPTION:Liz Carlisle from UC Santa Barbara\n\n\nIn Person Location: ISB 221 \nZoom Link \n\n\nLiving Roots makes the case for putting perennial foods at the center of our farms and our plates\, to add flavor and nutrients to our diets while reducing emissions and making our food system more resilient to climate change and economic uncertainty. With contributions from James Beard Award-winning chefs\, Macarthur genius grant-winning scientists\, and a host of farmers who are leading the way on perennializing agriculture\, the book takes readers on a behind-the-scenes tour of the largest food forest in the United States\, the test plots developing the first commercial perennial grains\, and the vast grasslands where Indigenous communities are returning bison to their prairie homelands. In the process\, each contributor shares their unique story of learning with these long-lived plants about how to root deeper in the face of existential challenges\, speaking directly to readers charting their own path on a rapidly changing planet. This talk will open with a brief overview of the case for perennials\, followed by space for dialogue about perennial agroecology\, public scholarship\, and the collaborative and feminist methods that inform this project.
URL:https://events.ucsc.edu/event/living-roots-the-promise-of-perennial-foods/
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260511T132500
DTEND;TZID=America/Los_Angeles:20260511T143000
DTSTAMP:20260513T222836
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SUMMARY:Seminar Series | Living Roots: The Promise of Perennial Foods with Liz Carlisle
DESCRIPTION:Host: Dani Klawitter \nLiving Roots makes the case for putting perennial foods at the center of our farms and our plates\, to add flavor and nutrients to our diets while reducing emissions and making our food system more resilient to climate change and economic uncertainty. With contributions from James Beard Award-winning chefs\, Macarthur genius grant-winning scientists\, and a host of farmers who are leading the way on perennializing agriculture\, the book takes readers on a behind-the-scenes tour of the largest food forest in the United States\, the test plots developing the first commercial perennial grains\, and the vast grasslands where Indigenous communities are returning bison to their prairie homelands. In the process\, each contributor shares their unique story of learning with these long-lived plants about how to root deeper in the face of existential challenges\, speaking directly to readers charting their own path on a rapidly changing planet. This talk will open with a brief overview of the case for perennials\, followed by space for dialogue about perennial agroecology\, public scholarship\, and the collaborative and feminist methods that inform this project. \nIn person and on Zoom \nMeeting ID:  949 5253 7079 \nPasscode: 552886
URL:https://events.ucsc.edu/event/seminar-series-living-roots-the-promise-of-perennial-foods-with-liz-carlisle/
LOCATION:Interdisciplinary Sciences Building\, 7487 Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260511T160000
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SUMMARY:AM Seminar: Column Subset Selection: Theory\, Structure\, and Algorithms
DESCRIPTION:Presenter: Anil Damle\, Associate Professor\, Cornell University \nDescription: The column subset selection problem is a classical topic in numerical linear algebra\, with renewed interest driven by applications in computational quantum chemistry\, integral equations\, model reduction\, and model compression in machine learning. This talk surveys recent advances that clarify how structural properties of a matrix influence the performance of column selection algorithms. We focus on structure-aware and randomized methods\, highlighting both theoretical guarantees and practical algorithmic consequences. \nAbout the speaker: Anil Damle is an associate professor of computer science at Cornell University. His research focuses on the development and analysis of robust and efficient algorithms in applied and computational mathematics that exploit structure coming from underlying physical or statisical models. He interfaces with a broad range of application areas\, and his work is inherently interdisciplinary—with the ultimate goal of developing algorithms that are usable for practitioners. He received his PhD from Stanford University in computational and mathematical engineering (ICME)\, and his MS in applied mathematics and BS in applied mathematics and computer engineering from the University of Colorado\, Boulder. \nThis seminar is hosted by Applied Mathematics.
URL:https://events.ucsc.edu/event/am-seminar-column-subset-selection-theory-structure-and-algorithms/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260511T160000
DTEND;TZID=America/Los_Angeles:20260511T170000
DTSTAMP:20260513T222836
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SUMMARY:Statistics Seminar: Learning under Constraints and Extremes: Methods and Applications in Energy Systems
DESCRIPTION:Presenter: Yu Zhang\, Associate Professor\, ECE Department of UC\, Santa Cruz \nDescription: Modern cyber-physical systems present statistical learning problems that deviate significantly from standard i.i.d. supervised settings. In particular\, two challenges frequently arise: (i) learning under hard structural constraints\, and (ii) learning under severe distributional imbalance and rare events. In this talk\, I present two case studies from energy systems that illustrate these challenges and motivate new learning paradigms. First\, I consider the problem of approximating the solution map of the AC optimal power flow (AC-OPF)\, a nonlinear and nonconvex optimization problem governing power grid operations. Rather than relying solely on labeled optimal solutions\, we develop both unsupervised and semi-supervised physics-informed learning frameworks that incorporate equality constraints directly into the training objective via augmented Lagrangian formulations and implicit gradient estimation. These approaches enable data-efficient learning while maintaining physical feasibility\, and can be interpreted as constrained function estimation where physical laws provide structural supervision. Second\, I discuss short-term power outage forecasting under extreme weather conditions\, where the data exhibit zero inflation\, heavy tails\, and strong temporal dependence. We propose a two-stage modeling framework that separates event occurrence and magnitude\, combining calibrated classification with Tweedie-based regression to better capture rare but high-impact events. Together\, these examples highlight a unifying theme: modern applications often require learning methods that effectively integrate domain structure while remaining robust to challenging data characteristics such as sparsity and extreme events. I conclude with a discussion of broader implications for scalable learning\, uncertainty handling\, and decision-making in complex systems. \nAbout the speaker: Dr. Yu Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California\, Santa Cruz. He received his Ph.D. in Electrical and Computer Engineering from the University of Minnesota\, followed by postdoctoral appointments at the University of California\, Berkeley and the Lawrence Berkeley National Laboratory. Dr. Zhang’s research advances the resilience\, efficiency\, and sustainability of modern electric power systems through innovations in AI-driven optimization\, machine learning\, and dynamic decision-making. His work develops physics-aware learning methods\, stochastic and robust optimization techniques\, and cyber-physical coordination frameworks to support reliable grid operations under uncertainty. Recent projects include learning-augmented outage forecasting\, planning for weather-driven grid hardening\, and integrating large flexible loads such as data centers into market and operational strategies. Dr. Zhang has been recognized with multiple awards\, including the 2025 Outstanding Young Investigator Award from the Energy Systems Division of the Institute of Industrial and Systems Engineers (IISE)\, the 2021 Early Career Best Paper Award from the INFORMS Energy\, Natural Resources\, and the Environment (ENRE) Section\, and the 2019 Hellman Fellowship. \nThis seminar is hosted by Professor Allen Kei. \n 
URL:https://events.ucsc.edu/event/statistics-seminar-learning-under-constraints-and-extremes/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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