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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/
LOCATION:
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:20260427T104000
DTEND;TZID=America/Los_Angeles:20260427T114500
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SUMMARY:ECE 290 Seminar: Speaker Luat T. Vuong - Biospeculative approaches to the “needle in a haystack”: vortex encoders and hybrid optical neural-networks
DESCRIPTION:Presenter: Luat Vuong\, Associate Professor in Mechanical Engineering\, UC Riverside \nDescription: Given the growing computational demands of machine learning\, how can we scale approaches for sifting through large volumes of data—including patterned or delayed information embedded as “noise”? Many computer vision applications have a strict power budget and demand robust\, rapid-response\, and even real-time image processing. In this talk\, I’ll describe our “biospeculative” approaches to efficiently offload traditional computer vision tasks to diffractive optics. Such hybrid approaches leverage the benefits of preprocessing optics and shallow electronic algorithms. With optics\, we spatially encode multiple dimensions of light (color\, polarization) and decode with simple\, back-end neural networks. I will focus the discussion on the role of encoding from vortex optical singularities. With vortex and multi-vortex encoders\, we identify sparse and reconstruct low-signal features\, tracking the “needle in a haystack”. \nBio: Luat Vuong is currently Associate Professor in Mechanical Engineering at UC Riverside\, with cooperating faculty memberships in Physics\, Electrical and Computer\, and Materials Science and Engineering. She is also affiliate faculty in Robotics and at the Center for Environmental Research and Technology. She is trained as an optical applied physicist\, received her undergrad at UC Berkeley\, PhD at Cornell University. She is a recipient of the 2007 Fulbright Fellowship (which she took at the Technical University of Delft in The Netherlands)\, 2010 European Council MC-IIF Global Postdoctoral Fellowship (which she took at the Institute of Photonic Sciences in Spain)\, 2012 NSF Career Award\, a 2016 J-FRASE\, Sloan- funded Award\, the 2019 DARPA Young Faculty Award\, and the 2021 DARPA Director’s Fellowship. Her research is broadly at the intersection of optics\, nonlinear dynamics\, and data science. \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-luat-t-vuong-biospeculative-approaches-to-the-needle-in-a-haystack-vortex-encoders-and-hybrid-optical-neural-networks/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T123000
DTEND;TZID=America/Los_Angeles:20260427T133000
DTSTAMP:20260409T214501Z
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SUMMARY:CM Seminar: Edward Wang\, "Inventing a New Blood Pressure Monitor"
DESCRIPTION:Presented by: Edward Wang \nDescription: “What does it actually look like to invent something? In this talk\, I trace the decade-long journey of turning a smartphone into a blood pressure monitor\, from Seismo\, which used smartphone accelerometers to measure pulse transit time\, to BPClip\, a dollar clip that brought calibration-free oscillometry to the fingertip\, to VibroBP\, which eliminated the attachment entirely using the phone’s vibration motor. Each project was born from the limitations of the last. And each time we thought we’d solved the problem\, new layers of unknowns appeared around usability\, manufacturing\, and FDA classification. This is a talk about what inventing looks like when you zoom in past the papers and patents. Less about creating something new\, and more about finding the unknowns between a need and its solution\, and creatively working through them\, one by one.” \nBio: Dr. Edward J. Wang is the Jacobs Faculty Chair in Entrepreneurship Associate Professor of Design and Electrical & Computer Engineering at UC San Diego\, where he directs the Digital Health Technologies Lab. His research explores practical solutions to address real-world medical needs drawn from collaborations with clinicians and world health organizations\, but solved using new and creative insights that leverage state-of-the-art applied machine learning\, embedded systems\, and mobile sensors. He has been named an NAI Senior Member\, NIH Trailblazer\, Norman Design Laureate\, and Google Research Scholar. He publishes in premier computer science and health science venues including ACM IMWUT\, CHI\, UIST\, Nature Publishing\, Frontiers in Digital Health\, and JMIR\, having been awarded 9 best paper awards. He actively engages in the translation of research through faculty entrepreneurship. He earned his Ph.D. from the University of Washington and his B.S. from Harvey Mudd College. \nHosted by: Professor Christina Chung \nWhen: Monday\, April 27\, 2026 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @  SVC 3212. \nViewing room @ UCSC Main Campus\, E2-280. \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info: \nhttps://ucsc.zoom.us/j/91516487260?pwd=6qaylO1FY0XjYHIrFnxJqCikmypxam.1\nMeeting ID: 915 1648 7260\nPasscode: 086900 \n 
URL:https://events.ucsc.edu/event/cm-seminar-edward-wang-inventing-a-new-blood-pressure-monitor/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260427T132500
DTEND;TZID=America/Los_Angeles:20260427T143000
DTSTAMP:20260424T193031Z
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SUMMARY:Socio-Ecological Complexity in Coffee Agroecosystems
DESCRIPTION:Sanya Cowal from the UCSC Environmental Studies Department\nIn Person Location: ISB 221 \nZoom Link \nOne of the most pressing global challenges considers how to combine sustainable agricultural land use with biodiversity conservation. Agricultural systems have been dramatically transformed and intensified\, leading to the simplification of agricultural landscapes through increased agrochemical use\, landscape homogeneity\, decreased crop diversity\, and mechanization. All of these activities restructure the physical and social environment in which food systems are embedded. Market motivations overlook ecological costs\, including the loss of habitat complexity\, functional biodiversity\, and related ecosystem services\, such as biological pest control\, as well as socio-cultural costs\, such as the erasure of traditional agroecosystems. The coffee agroecosystem is one system in which management intensification negatively impacts functional biodiversity and ecosystem services. In this talk\, I explore how socio-ecological complexity informs coffee farm management\, habitat complexity\, and subsequent outcomes for biodiversity\, ecosystem services\, and equitable supply chain governance.
URL:https://events.ucsc.edu/event/socio-ecological-complexity-in-coffee-agroecosystems/
LOCATION:CA
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
DTSTAMP:20260408T191555Z
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SUMMARY:Statistics Seminar: Active Learning for Fair and Stable Allocations
DESCRIPTION:Presenter: Riddhiman Bhattacharya\, Postdoc\, UCSC \nDescription: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations\, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online resource allocation process. Despite this limitation\, our algorithms achieve sub-linear regret in the number of time-periods for multiple fairness metrics commonly used in resource allocation problems and stability constraints inherent to matching mechanisms. The core innovation of our approach lies in the adaptive identification of the most informative feedback through dueling upper and lower confidence bounds. This strategy enables efficient decision-making with limited feedback\, achieving favorable outcomes across various problem classes. \nAbout the speaker: I am Riddhiman Bhattacharya\, currently a postdoc at UCSC\, Statistics Department\, working with Justin (Sangwon Hyun). I have previously been a postdoc at Purdue and have obtained my PhD from the University of Minnesota in Statistics. I am interested in methodological development in statistics with varied applications including oceanography\, biology and economics. I am also interested in theoretical development of statistics particularly in the fields of Markov Chain Monte Carlo\, Optimization and Fast Sampling.
URL:https://events.ucsc.edu/event/statistics-seminar-active-learning-for-fair-and-stable-allocations/
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:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
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SUMMARY:AM Seminar: Machine Learning in Molecular Simulations: From Free Energy to Vibrational Spectroscopy
DESCRIPTION:Presenter: Marcos Calegari Andrade\, Assistant Professor\, Chemistry and Biochemistry\, UC Santa Cruz \nDescription: In this talk\, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost\, these models enable atomistic simulations of condensed matter at unprecedented scales. I will discuss how this approach provides a detailed lens into chemical reaction dynamics under experimentally relevant conditions and facilitates the direct calculation of observables\, such as vibrational spectra\, effectively bridging the gap between theoretical simulation and experimental observation. \nAbout the speaker: Marcos Calegari Andrade is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of California\, Santa Cruz. He earned his PhD from Princeton University\, where he developed machine learning models to simulate the chemistry and vibrational spectroscopy of condensed-phase systems. He later joined the Quantum Simulations Group at Lawrence Livermore National Laboratory\, applying deep neural network models to fundamental challenges in climate and energy security. His current research at UCSC focuses on the application of machine learning to molecular simulations\, with a particular emphasis on chemical reaction mechanisms\, vibrational spectroscopy\, and the development of automated simulation frameworks. \nThis seminar is hosted by Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-machine-learning-in-molecular-simulations/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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