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DTSTART;TZID=America/Los_Angeles:20261005T104000
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SUMMARY:ECE 290 Seminar: "Why Do Chips Get Hot? Electro-Thermal Co-Design for Next-Generation Transistors"
DESCRIPTION:Presented by: Young Suh Song\, Knight-Hennessy PhD candidate @ Stanford University \nDescription: “The rapid growth of information technology (IT) has led to remarkable progress in recent semiconductor technology. Transistors have become smaller so that more transistors can be packed into a chip\, and today’s semiconductors even use technology that vertically stacks layers of transistors. Although this has led to improved electrical performance of semiconductors\, the increase in the number of transistors and interfaces in semiconductors has concomitantly worsened their thermal properties. In this talk\, I will first explain why chips get hot and introduce the materials and transistor structures used in the latest logic and memory semiconductors. Based on this\, I will discuss a range of structural and materials engineering approaches that have been explored to improve thermal properties in state-of-the-art semiconductors\, including metal-oxide-semiconductor field-effect transistors (MOSFETs) and 4F 2 3D dynamic random-access memory (DRAM) technology. Finally\, I will wrap up the talk by presenting my vision of how future research could keep chips cool.” \nBio: Young Suh Song is a PhD candidate in the department of Electrical Engineering at Stanford University. He received his bachelor’s and master’s degrees in the department of Electrical and Computer Engineering at Seoul National University\, South Korea. His research focuses on electro-thermal co-design for advanced semiconductor devices and systems by utilizing improved structures and emerging materials. With this focus\, he has authored and co-authored over 50 research papers in journals and conferences including Nature Nanotechnology\, ACS Nano\, and IEEE International Electron Devices Meeting (IEEE IEDM). He previously worked as a research scientist at IBM T. J. Watson Research Center\, focusing on electro-thermal co-optimization in advanced CMOS nodes. His interdisciplinary work has been recognized with several honors\, including the outstanding reviewer award for Semiconductor Science and Technology (IOP Publishing\, 2025) and best paper awards from IEEE ICCSS (2022) and IEIE (2020). More information can be found at https://sites.google.com/view/yssong24 \n  \nHosted by: Professor Zhicong Yu\, Electrical & Computer Engineering Department \nWhen: Monday\, October 5th from 10:40 to 11:45 AM PST \nLocation: Classroom E2-194
URL:https://live-events-ucsc.pantheonsite.io/event/ece-seminar-why-do-chips-get-hot-electro-thermal-co-design-for-next-generation-transistors/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20261005T120000
DTEND;TZID=America/Los_Angeles:20261005T133500
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SUMMARY:CM Seminar: Speaker - Yung-Ju (Stanley) Chang "Building Intelligence Around Limited Human Attention: Our Research Trajectory Toward Attention-Aware Agentic System"
DESCRIPTION:Presenter: Yung-Ju (Stanley) Chang\, Professor\, National Yang Ming Chiao Tung University (NYCU) \nDescription: Human attention has become an increasingly scarce resource in everyday digital life. People are constantly exposed to notifications\, messages\, news updates\, social media content\, and AI-generated information\, all competing for limited attentional capacity. In this talk\, I will share our research trajectory around human attention\, highlighting how attention has served as a primary focus across our work over the past decade. I will organize this body of work around five main directions: 1) protecting attention from unnecessary interruptions\, 2) utilizing attention during opportune moments\, 3) guiding attention toward important information\, 4) saving attention by delegating routine work to intelligent agents\, and 5) tracking attention through smartphone behavior. I will highlight representative projects that illustrate how we have approached each of these directions. Building on this trajectory\, I will discuss how these lines of work are shaping our current and future exploration of agentic systems centered on human attention. \nBio: Yung-Ju (Stanley) Chang is a Professor in the Department of Computer Science at National Yang Ming Chiao Tung University (NYCU) and a Joint Research Fellow at the Research Center for Humanities and Social Sciences\, Academia Sinica\, Taiwan. He received his Ph.D. from the University of Michigan\, Ann Arbor. He leads the Agentic Intelligence for Mobile Engagement and Experience (AIMEX) Lab. His research spans mobile attention and multitasking\, mobile media consumption\, human–agent interaction\, mobile crowdsourcing\, social media influencers\, and digital wellbeing. He collaborates across disciplines and has worked closely with scholars in communication to understand how people engage with different forms of media content. \nHosted by: Associate Professor of Computational Media\, Christina Chung \nZoom Link: https://ucsc.zoom.us/j/94103955103?pwd=od4ueavRt06ECpwAwqvgofwn5Suyal.1 \nConfirmed Seminar Location: SVC\, Room 3212
URL:https://live-events-ucsc.pantheonsite.io/event/cm-seminar-speaker-yung-ju-stanley-chang-building-intelligence-around-limited-human-attention-our-research-trajectory-toward-attention-aware-agentic-system/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20261005T160000
DTEND;TZID=America/Los_Angeles:20261005T170000
DTSTAMP:20261005T155626Z
CREATED:20261005T155626Z
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SUMMARY:Statistics Seminar: Spatially Varying Gene Regulatory Networks via Bayesian Nonparametric Covariate-Dependent Directed Cyclic Graphical Models
DESCRIPTION:Presenter: Trisha Dawn\, UC Santa Cruz \nDescription: Spatial transcriptomics technologies enable measurement of gene expression with spatial context\, providing opportunities to understand how gene regulatory networks (GRNs) vary across tissue regions. Studying spatial variation in GRNs is crucial for uncovering mechanisms governing heterogeneous cellular functions and gives rise to a challenging statistical problem: graph learning with spatially heterogeneous data. Existing methods focus on undirected graphs or directed acyclic graphs\, limiting their ability to capture feedback loops in gene regulation. Although cyclic graphs have been used to construct GRNs\, ensuring their stability (an eigenvalue constraint) remains statistically and computationally challenging\, especially while allowing graph structure to vary spatially. We propose BNP-DCGx\, a Bayesian nonparametric covariate-dependent directed cyclic graphical model for learning spatially varying gene regulatory networks (svGRNs). The key idea is to introduce a covariate-dependent random partition that discretizes the covariate space into clusters\, each with a cluster-specific stable directed cyclic graph. Through partition averaging\, we obtain smoothly varying graph structures over space while preserving stability and providing large prior support for continuously varying graphs. \nAbout the speaker: My research centers on the development of novel statistical methods mostly in causal discovery\, change-point detection and graph matching\, drawing on techniques from Bayesian nonparametrics\, optimization\, machine learning\, and high-dimensional inference. I am particularly interested in applying statistical methodology to emerging data-rich fields such as spatial transcriptomics\, single-cell multi-omics\, network analysis\, and dynamically evolving complex systems. Currently I am developing statistical methodologies to detect changes in microbial communities using cytogram data collected across varying environmental conditions and research cruise trajectories at Dr. Hyun’s group as a postdoc. I earned Ph.D. in Statistics from Texas A&M University\, jointly advised by Yang Ni and Jesús Arroyo. Prior to my doctoral studies\, I completed Master’s degree at the Indian Statistical Institute and joined as a Junior Research Fellow. I also obtained Bachelor’s degree in Statistics at St. Xavier’s College (Autonomous)\, Kolkata. \nThis seminar is hosted by Professor Yunyi Shen
URL:https://live-events-ucsc.pantheonsite.io/event/statistics-seminar-spatially-varying-gene-regulatory-networks-via-bayesian-nonparametric-covariate-dependent-directed-cyclic-graphical-models/
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:20261008T114000
DTEND;TZID=America/Los_Angeles:20261008T131500
DTSTAMP:20261006T213342Z
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SUMMARY:BME 280B Seminar: Dr. Paulina Tolosa Tort\, Postdoctoral Scholar\, and Erich Weiler\, Senior Systems Architect and Engineer
DESCRIPTION:Welcome to the second week of our BME 280B seminar series\, a weekly seminar covering topics of current research in computational biology\, and bioinformatics. \nOpen to all\, food will be provided. Class enrollment is not required. \n  \nPlease join us this week to learn more about the works of Dr. Paulina Tolosa Tort and Erich Weiler: \n  \nSpeaker 1: Dr. Paulina Tolosa Tort\, Postdoctoral Scholar\, University of California\, San Francisco \nTitle: Understanding Heterogeneity in Neurodegenerative Disease through Genomics: From Patients to Genomes \nDescription: Neurodegenerative diseases such as Alzheimer’s disease are becoming increasingly prevalent as populations age worldwide. These disorders show substantial heterogeneity across individuals in susceptibility\, clinical presentation\, and progression. Understanding the biological basis of this variation is important for clarifying disease mechanisms\, characterizing risk\, and identifying opportunities for prevention and treatment. This talk will examine how human genomics can be used to investigate heterogeneity in neurodegenerative disease\, from shared genetic architecture across disorders to variation in individual susceptibility. \nUsing Alzheimer’s disease and primary open-angle glaucoma as examples of neurodegenerative diseases\, the first part of the talk will focus on shared genetic architecture and pleiotropy between the two disorders\, integrating large-scale genomic and   data to identify shared genetic signals. The second part will examine how genetic susceptibility\, including polygenic risk\, operates in the context of clinical and potentially modifiable risk factors to shape cognitive outcomes and dementia risk. Together\, these approaches examine different sources of heterogeneity in neurodegenerative disease\, from shared biological processes across disorders to the interplay of genetic and non-genetic risk factors across individuals. \nFinally\, this talk will outline future directions exploring how long-read sequencing and pangenome-based representation may expand both the characterization and representation of human genomic diversity\, creating new opportunities to connect genomic variation with clinically meaningful differences in disease susceptibility and risk. \nBio: Paulina Tolosa-Tort\, MD\, PhD\, MPH\, is a postdoctoral scholar at the University of California\, San Francisco\, whose research focuses on the genetic and non-genetic determinants of heterogeneity in neurodegenerative disease. Her research perspective emerged from clinical training in medicine and ophthalmology at the National Autonomous University of Mexico (UNAM)\, where differences in disease onset\, presentation\, and progression motivated questions about the biological basis of individual susceptibility. She subsequently completed a Master of Public Health in Quantitative Methods at Harvard University and pursued doctoral training in Chronic Disease Epidemiology at Yale University\, where she used cross-disease genetic approaches to investigate biological processes shared between Alzheimer’s disease and primary open-angle glaucoma. At UCSF\, she investigates how genetic susceptibility interacts with clinical and environmental exposures to shape cognitive outcomes and dementia risk. \nHosted By: Professor of Biomolecular Engineering\, Dr. Benedict Paten \nSpeaker 2: Erich Weiler\, Senior Systems Architect and Engineer\, University of California\, Santa Cruz Genomics Institute \nTitle: Mastering HPC Workload Orchestration: A Strategic Guide to Slurm \nDescription: As high-performance computing (HPC) demands grow\, efficient workload orchestration and resource allocation become critical for maximizing cluster throughput and hardware return on investment. This presentation provides a comprehensive guide to understanding and leveraging the Simple Linux Utility for Resource Management (Slurm) within distributed HPC environments. Attendees will explore the core architecture of HPC clusters—including login nodes\, compute nodes\, and shared storage fabrics—alongside the central daemons (slurmctld\, slurmd\, and slurmdbd) that power execution\, control\, and accounting. \nThe talk breaks down the job execution lifecycle for both interactive and batch workloads\, detailing how Slurm evaluates job priorities using a multifactor system driven by job age\, size\, partition constraints\, and Fair Share algorithms (such as Fair Tree). Key operational focus areas include partition design\, backfill scheduling\, and the severe performance impacts of over-requesting CPU cores\, RAM\, GPUs\, and walltime. Practical best practices—such as I/O hygiene\, local scratch utilization\, and avoiding common resource bottlenecks—are highlighted to help researchers and engineers navigate queue mechanics\, optimize job scheduling\, and ensure equitable\, high-throughput cluster utilization. \nBio: Erich Weiler is a Senior Systems Architect and Engineer with over two decades of expertise in high-performance computing\, enterprise storage architectures\, and high-availability infrastructure. He currently serves as Genomics Systems Architect at the University of California\, Santa Cruz Genomics Institute\, where he manages multi-petabyte parallel file systems\, GPU-accelerated computing clusters\, and hybrid cloud environments supporting advanced comparative genomics and computational biology. Erich also provides specialized systems architecture consulting for prominent academic institutions and research facilities across the country\, including Johns Hopkins University\, Northeastern University\, and Claremont McKenna College. \nWith a deep background spanning Linux/UNIX systems administration\, cluster workload management via Slurm\, and complex high-speed networking\, Erich specializes in designing resilient\, scalable infrastructure for data-intensive research environments. His past work includes architecting a $5 million\, 5-petabyte high-performance storage installation for the NIH/NCI-funded Cancer Genomics Hub\, as well as engineering secure\, FISMA-compliant data deployment platforms. Erich holds a B.A. from Southwestern University.
URL:https://live-events-ucsc.pantheonsite.io/event/bme-280b-seminar-100826/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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