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DTSTART;TZID=America/Los_Angeles:20260302T104000
DTEND;TZID=America/Los_Angeles:20260302T114500
DTSTAMP:20260419T180950
CREATED:20260224T232851Z
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SUMMARY:ECE 290 Seminar: Precision Nuclear Medicine: Engineering Solutions from Acquisition to Analysis
DESCRIPTION:Presenter: Spencer L. Bowen\, Assistant Professor in the Departments of Radiology and Biomedical Engineering\, UT Southwestern Medical Center \nDescription: The Bowen Lab focuses on the development of tools for positron emission tomography (PET) and hybrid systems (e.g. PET/CT)\, to advance precision imaging for the care and study of oncology\, neurology\, and cardiology patients. Quantitative metrics from PET are integral to both patient workup and clinical research. However\, current approaches to enable quantitative imaging have substantial performance limitations that can compromise study conclusions\, fail to generalize across exams and scanners\, expose patients to additional ionizing radiation\, or necessitate invasive procedures. To address these key barriers\, Dr. Bowen and his team investigate advanced acquisition techniques\, image reconstruction algorithms\, and post-processing methods. Their studies span from digital simulations to human subjects research. This lecture will cover recent developments by the Bowen Lab\, including 1) advanced PET data correction methods for low-dose and standalone exams\, 2) non-invasive fully quantitative imaging\, and 3) leveraging topical sensors to detect faulty radiotracer injections. \nBio: Spencer L. Bowen\, Ph.D.\, is an Assistant Professor in the Departments of Radiology and Biomedical Engineering at UT Southwestern Medical Center. He earned his doctorate in biomedical engineering from University of California\, Davis\, where he developed hardware and algorithmic solutions to enable quantification with a breast PET/CT scanner. Dr. Bowen then worked as a research fellow at Massachusetts General Hospital on precision PET imaging methods for combined PET/MR. Prior to joining the UT Southwestern faculty in 2020\, he served as a research assistant professor at the Fralin Biomedical Research Institute at Virginia Tech-Carilion. Dr. Bowen’s research program is funded by both industry and the NIH. His work has been featured on the cover of the Journal of Nuclear Medicine and detailed by the press. \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-precision-nuclear-medicine-engineering-solutions-from-acquisition-to-analysis/
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:20260302T123000
DTEND;TZID=America/Los_Angeles:20260302T133000
DTSTAMP:20260419T180950
CREATED:20260223T222143Z
LAST-MODIFIED:20260223T223626Z
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SUMMARY:CM Seminar - "From Sibelius to Game: Crafting Adaptive Music for 'Kingdom Come: Deliverance'"
DESCRIPTION:Presented by: Adam Sporka \nDescription: “This talk explores the technical and creative processes behind the music of Kingdom Come: Deliverance II\, where I served as a music programmer\, and soundtrack contributor. Using our proprietary Sequence Music Engine and music logic module\, we authentically scored the game’s 1400s Bohemia setting with segment-based adaptive music driven by in-game variables. Our workflow centers around the notation program Sibelius and our custom tool Converdi\, which streamlines the production by converting the score symbols to preliminary MIDI streams per individual VSTs and by extracting the precise timing data necessary for the segment transitions. This enabled us to spend more time on the creative aspects of music and less time on production and implementation.” \nThe key takeaways from the talk are as follows: \n* Production should start with a complete score\, and not just the MIDI exports therefrom\n* Custom automation tools can streamline the music creation workflow and reduce the production time\n* Resequencing is more suitable for classical and medievalesque music than layering\n* Rapid music prototyping allows for early testing of adaptive music directly in the game \nBio: Adam Sporka is a software developer by trade\, a musician by domain\, and a scientist by approach. As a researcher\, developer\, and educator in game audio\, he places a special focus on interactive music. He has served as the technical music director for Kingdom Come: Deliverance II (Warhorse Studios) and is the author of the Sequence Music Engine\, a proprietary adaptive music middleware used in both games. As a composer\, he contributed to the soundtrack of both Kingdom Come: Deliverance games\, writing some of the most memorable medievalesque and early renaissance pieces on the soundtrack. Currently\, he teaches game audio at the University of California\, Santa Cruz. He received his Ph.D. and habilitation in human-computer interaction from the Czech Technical University (Czech Republic) and was a postdoctoral researcher at the University of Trento (Italy). He has published more than 50 articles in the proceedings of international conferences and academic journals. Adam is currently appointed as a principal engineer at Embody\, a Sunnyvale-based game audio software company focused on the commercial applications of the head-related transfer function. \nHosted by: Professor Christina Chung \nWhen: March 2\, 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/98763397019?pwd=XUG5pnMjgFgCEOlpunV41oRjNMZiO6.1 \nMeeting ID: 987 6339 7019\nPasscode: 273556
URL:https://events.ucsc.edu/event/cm-seminar-from-sibelius-to-game-crafting-adaptive-music-for-kingdom-come-deliverance/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260302T160000
DTEND;TZID=America/Los_Angeles:20260302T170000
DTSTAMP:20260419T180950
CREATED:20260202T195322Z
LAST-MODIFIED:20260202T195322Z
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SUMMARY:Statistics Seminar: Decoding Phytoplankton Responses to a Changing Ocean
DESCRIPTION:Presenter: Francois Ribalet\, Research Associate Professor\, School of Oceanography\, University of Washington \nDescription: François Ribalet will present new observational technologies and computational approaches for studying phytoplankton responses to ocean warming. Using SeaFlow\, a custom-built automated flow cytometer deployed on over 100 research cruises\, his team has collected nearly 850 billion cell measurements across global oceans. Matrix population models applied to these data reveal how temperature affects phytoplankton division rates and biomass. The research shows that Prochlorococcus\, the ocean’s most abundant photosynthetic organism\, experiences sharp declines in growth above 28°C. Climate projections incorporating these metabolic constraints predict a 40-60% decrease in Prochlorococcus production in tropical regions by 2100\, with Synechococcus partially compensating through a 20-40% increase. These shifts between dominant phytoplankton groups will likely disrupt ocean food webs and carbon cycling\, raising questions about whether tropical ecosystems can adapt to warming oceans. \n\n\n\n\n\n\n\n\n\nBio: François Ribalet is a research associate professor at the University of Washington studying phytoplankton and their role in ocean food webs and carbon cycling. He combines field observations with statistical models to understand how environmental changes affect the growth and community dynamics of these microscopic organisms. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-decoding-phytoplankton-responses-to-a-changing-ocean/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260302T160000
DTEND;TZID=America/Los_Angeles:20260302T170000
DTSTAMP:20260419T180950
CREATED:20260225T181221Z
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SUMMARY:AM Seminar: The Evolving Landscape of AI for Science and Engineering: Bridging Simulation\, Experiment\, and Multi-scale Dynamics
DESCRIPTION:Presenter: Aditi Krishnapriyan\, Assistant Professor\, UC Berkeley \nDescription: Recent advances in large-scale scientific datasets are creating new opportunities for machine learning (ML) methods to more effectively capture scientific phenomena with greater accuracy and reach. In this talk\, I will discuss how these advances are both shifting ML design paradigms and enabling new scientific inquiries. This includes investigations into understanding if neural networks can autonomously discover fundamental physical relationships from data\, and demonstrating how more flexible machine learning modeling design choices enable capturing physical dynamics across multiple scales. I will also explore how generative modeling approaches rooted in statistical physics can be applied to accelerate the sampling of dynamic pathways\, and as a framework to align and bridge the gap between simulated data and experimental observations. \nBio: Aditi Krishnapriyan is an Assistant Professor at UC Berkeley where she is part of Chemical and Biomolecular Engineering\, Electrical Engineering and Computer Sciences\, and Berkeley AI Research; as well as a faculty scientist in the Applied Mathematics division at Lawrence Berkeley National Laboratory. She holds a PhD from Stanford University\, supported by the DOE Computational Science Graduate Fellowship\, was the Luis W. Alvarez Fellow in Computing Sciences at Lawrence Berkeley National Laboratory\, and is a recipient of the Department of Energy Early Career Award and RCSA Scialog. Her research focuses on developing physics-inspired machine learning methods that bridge machine learning with physical science applications to capture phenomena across multiple length and timescales. \nHosted by: Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-the-evolving-landscape-of-ai-for-science-and-engineering-bridging-simulation-experiment-and-multi-scale-dynamics/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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