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DTSTART;TZID=America/Los_Angeles:20251113T100000
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SUMMARY:Petety\, A. (CSE) -  New Algorithmic Methods for Uncertain Inputs
DESCRIPTION:This dissertation focuses on designing and proving performance guarantees on algorithms when there is uncertainty in the input. The uncertainty could be from the user being unsure or future inputs that have not arrived yet. We look at different methods in which algorithms can be designed to be competitive against the optimal. One of the assumptions that helps in this is to assume that the input arrival order is completely random. We study the online load/graph balancing problem when the input arrival order is uniformly random. We show lower bounds for the greedy algorithm and the general case. In the next part\, we study the online scheduling problem under the assumption that the online algorithm has an additional ϵ speed compared to the machines in offline optimal. We show a meta algorithm generalizing Shortest Remaining Processing Time that gives a scalable algorithm for minimizing total weighted flow time. We show that it achieves scalability for minimizing total weighted flow time when the residual optimum exhibits supermodularity. In the final part we look at the online caching problem when the algorithm has access to ML-augmented predictions. We propose an algorithm that achieves a O(logb k) competitive ratio even when using just b predictions per cache miss. We also prove its robustness and consistency. \nEvent Host: Aditya Petety\, Ph.D. Student\, Computer Science and Engineering \nAdvisor: Sungjin Im \n 
URL:https://live-events-ucsc.pantheonsite.io/event/petety-a-cse-new-algorithmic-methods-for-uncertain-inputs/
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20251112T110000
DTEND;TZID=America/Los_Angeles:20251112T121500
DTSTAMP:20251106T185851Z
CREATED:20251106T173342Z
LAST-MODIFIED:20251106T185851Z
UID:10005103-1762945200-1762949700@live-events-ucsc.pantheonsite.io
SUMMARY:CSE Colloquium - Neurosymbolic AI: from research to industry
DESCRIPTION:Presenter: Luis Lamb\, Catholic Institute of Technology\n\nAbstract:\nNeurosymbolic AI brings together the statistical nature of machine learning with the formal reasoning capabilities of symbolic AI. It seeks to offer a balanced approach to contemporary AI technologies\, by combining the ability to learn from data\, with the capacity to reason upon knowledge acquired from an environment. The main criticism of neural machine learning lies in its lack of explainability and semantics\, which are key requirements in safety-critical applications\, yet inherent strengths of logic-based methods. Recently\, several corporations have publicly announced products and technologies grounded in neurosymbolic AI methodologies. This talk provided a concise review of the foundations\, frameworks and tools underlying neurosymbolic AI\, along with illustrative applications. It concludes by highlighting current trends and research directions in the field.\n\nBio:\nLuis Lamb is Professor of Computer Science and Vice President of Research at the Catholic Institute of Technology. His research interests include: Artificial Intelligence\, Neurosymbolic AI\, Innovation Strategies\, and Applied Logics. Lamb has co-authored two research monographs\, including Neural-Symbolic Cognitive Reasoning\, with d’Avila Garcez and Gabbay (Springer 2009). He organized two Dagstuhl Seminars on Neursymbolic AI\, published widely in AI\, and has worked in the area for over 20 years.  Lamb also has extensive experience leading research planning\, strategy\, and university wide research & infrastructure grant applications\, and strategic academic-industry partnerships. He has been a Professor in Brazil and has experience in industry as a former Senior Manager of AI and Machine Learning at Boeing. He holds a PhD in Computer Science from Imperial College London and an MBA from MIT.\n\nHosted by: Professor Mohsen Lesani\n\nLocation: Engineering 2\, E2-180\n\n*Refreshments such as coffee and pastries will be provided.\n\nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://live-events-ucsc.pantheonsite.io/event/cse-colloquium-neurosymbolic-ai-from-research-to-industry/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251107T140000
DTEND;TZID=America/Los_Angeles:20251107T160000
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SUMMARY:Wang\, S. (CSE) - Learned Hashing and Overlay Networks for AI-native Retrieval and Serving at Scale
DESCRIPTION:Modern AI systems demand low-latency high-quality retrieval and serving over billion-scale keys and vectors. This proposal studies learned hashing and overlay networks to co-locate semantically related items and steer queries with minimal coordination. We first present LEAD\, to our knowledge the first use of order-preserving learned hash functions in distributed key-value overlays\, enabling efficient range queries and cutting hops/messages by 80–90% in prototypes while retaining balance and churn resilience. Second\, Vortex applies learned hashing to approximate nearest-neighbor retrieval: a self-organizing overlay binding learned keys to distributed HNSW indexes to achieve high recall at low fan-out. Third\, PlanetServe introduces onion-style path setup with multi-path dispersal and cache-aware forwarding for open LLM serving\, reducing TTFT and latency while preserving privacy. Planned work generalizes learned hashing to embedding partitions\, token/KV caches\, programmable switches\, and storage tiers\, and provides formal convergence\, load-balancing\, and monotonic-progress guarantees under skew and churn. We are also working to design the first knowledge delivery network for LLM serving: an overlay that unifies data placement\, retrieval\, and policy-aware routing across clusters and providers with tunable cost\, privacy\, and quality. Evaluation on real workloads at scale will measure recall\, tail latency\, cost\, and robustness\, targeting a predictable\, elastic\, scalable AI-native retrieval and serving stack. \nEvent Host: Shengze Wang\, Ph.D. Student\, Computer Science & Engineering \nAdvisor: Chen Qian \n  \nZoom: https://ucsc.zoom.us/j/5455463199?pwd=bHRVM01Vd20rcVpkc0FQY01kZG1UUT09&omn=98106984546 \nPasscode: 2121
URL:https://live-events-ucsc.pantheonsite.io/event/wang-s-cse-learned-hashing-and-overlay-networks-for-ai-native-retrieval-and-serving-at-scale/
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20251107T000000
DTEND;TZID=America/Los_Angeles:20251108T235959
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SUMMARY:United Nations Reboot the Earth Hackathon
DESCRIPTION:The United Nations (UN) and the Baskin School of Engineering at the University of California\, Santa Cruz\, are collaborating to bring the “Reboot the Earth” hackathon to the West Coast for the first time. \nThis is a social event bringing together aspiring developers to create open source software solutions that address the climate crisis\, including wildfire response. It’s a chance to collaborate with peers\, use open data\, and apply your coding skills to real-world climate challenges! \n\n\n\nDate: November 7-8\, 2025\nLocation: UC Santa Cruz Silicon Valley Center.\nRegister here for the event. \n\nOrganized by the UN Office of Information and Communications Technology (OICT)\, the 2025  Reboot the Earth hackathons are focused on agriculture and artificial intelligence (AI). The California event will focus on the locally relevant challenges of wildfire detection\, response\, and impact. Participants can leverage open source\, AI\, and open data sets\, along with local expertise on the environment and emergency preparedness and response. The goal is to build solutions that can become a digital public good\, serving local community needs. \nUC Santa Cruz students interested in attending the event can take advantage of the Silicon Valley Connector shuttle\, which will be running on Saturday\, November 8\, in addition to the regular Friday schedule. \nTo learn more about the Reboot the Earth initiative\, visit: https://unite.un.org/en/reboot-earth.
URL:https://live-events-ucsc.pantheonsite.io/event/un-reboot-the-earth-hackathon/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Meetings & Conferences,Social Gathering
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251105T110000
DTEND;TZID=America/Los_Angeles:20251105T121500
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CREATED:20251015T215159Z
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SUMMARY:CSE Colloquium: Mitigating Data Scarcity via Simulation by Roozbeh Mottaghi
DESCRIPTION:Presenter: Roozbeh Mottaghi\, University of Washington \nAbstract: Data has revolutionized progress across AI fields like natural language processing and computer vision. Yet\, in robotics\, data collection remains a significant challenge: robots must interact with complex\, dynamic environments\, making the process slow\, costly\, and difficult to scale. In this talk\, I will discuss how simulation is transforming the landscape of robotics research by addressing these data bottlenecks. I will introduce Habitat 3.0\, a 3D simulator designed for training and evaluating robotic agents in dynamic environments that include human interactions. Focusing on collaborative human-robot tasks\, I will present PARTNR\, a simulation benchmark designed to rigorously evaluate planning and reasoning in interactive settings. I will share key insights from this benchmark\, revealing both the impressive capabilities of current LLMs and the significant challenges they encounter when faced with the complexities of real-world environments. \nBio: Roozbeh Mottaghi is a Senior Research Scientist Manager at FAIR and an Affiliate Associate Professor in Paul G. Allen School of Computer Science and Engineering at the University of Washington. Prior to joining FAIR\, he was the Research Manager of the Perceptual Reasoning and Interaction Research (PRIOR) group at the Allen Institute for AI (AI2). He obtained his PhD in Computer Science in 2013 from the University of California\, Los Angeles. After PhD\, he joined the Computer Science Department at Stanford University as a post-doctoral researcher. His research mainly focuses on embodied AI\, reasoning via perception\, and learning via interaction\, and his work on large-scale Embodied AI received the Outstanding Paper Award at NeurIPS 2022. \n\n\n\n\n\n\nFaculty Host: Professor Mohsen Lesani \n\nLocation: Engineering 2\, E2-180\n\n*Refreshments such as coffee and pastries will be provided.\n\nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://live-events-ucsc.pantheonsite.io/event/cse-colloquium-mitigating-data-scarcity-via-simulation-by-roozbeh-mottaghi/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T110000
DTEND;TZID=America/Los_Angeles:20251028T121500
DTSTAMP:20251022T182819Z
CREATED:20251020T202827Z
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SUMMARY:CSE Colloquium: A Journey from Programming Systems Research to AI Agents
DESCRIPTION:Speaker: Koushik Sen\, UC Berkeley and Google DeepMind \nAbstract: Coding has emerged as an important application area for large language models (LLMs)\, with a proliferation of code-specific models and their applications across various domains and tasks such as program repair\, performance optimization\, debugging\, test generation\, documentation\, and security hardening. In this talk\, I will describe how we built powerful coding agents such as R2E-Gym and DeepSWE using test-driven methodology for solving various kinds of coding tasks\, such as repair\, optimization\, security vulnerability detection\, and refactoring.  I will also discuss a novel technique\, called GEPA\, for domain-specific optimization of AI agent systems\, which has shown a significant advantage over reinforcement learning. \nBio: Koushik Sen is a professor in the Department of Electrical Engineering and Computer Sciences at the University of California\, Berkeley. His research interest lies in Software Engineering\, Programming Languages\, and AI. He is interested in developing software tools and methodologies that improve programmer productivity and software quality. He is known for his work on “DART: Directed Automated Random Testing\,” concolic testing\, and LiveCodeBench. He has received a NSF CAREER Award in 2008\, a Haifa Verification Conference (HVC) Award in 2009\, a IFIP TC2 Manfred Paul Award for Excellence in Software: Theory and Practice in 2010\, a Sloan Foundation Fellowship in 2011\, a Professor R. Narasimhan Lecture Award in 2014\, an Okawa Foundation Research Grant in 2015\, and an ACM SIGSOFT Impact Paper Award in 2019. He has won several ACM SIGSOFT Distinguished Paper Awards. He received the C.L. and Jane W-S. Liu Award in 2004\, the C. W. Gear Outstanding Graduate Award in 2005\, and the David J. Kuck Outstanding Ph.D. Thesis Award in 2007\, and a Distinguished Alumni Educator Award in 2014 from the UIUC Department of Computer Science. He holds a B.Tech from the Indian Institute of Technology\, Kanpur\, and an M.S. and Ph.D. in CS from the University of Illinois at Urbana-Champaign. \n\nHosted by: Professor Mohsen Lesani \nLocation: Engineering 2\, E2-180 (Refreshments such as coffee and pastries will be provided.) \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://live-events-ucsc.pantheonsite.io/event/cse-colloquium-a-journey-from-programming-systems-research-to-ai-agents/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251022T110000
DTEND;TZID=America/Los_Angeles:20251022T121500
DTSTAMP:20251022T183911Z
CREATED:20250919T070000Z
LAST-MODIFIED:20251022T183911Z
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SUMMARY:CSE Colloquium - The C++11 Concurrency Memory Model: Remaining Challenges
DESCRIPTION:Presenter: Hans Boehm\, Google \nAbstract: C++11 extended the language to include threads\, defining a concurrency memory model to specify the semantics of shared variables\, including “atomic” variables that can be accessed without mutual exclusion. Although this followed Posix threads by more than a decade\, and the revision of the Java memory model by a few years\, it still helped to resolve some very fundamental points of confusion about the semantics and validity of compiler optimizations in multi-threaded programs. The C definition largely copied it\, and several other programming languages and systems\, as well as later versions of Java\, built on it. \nThese shared variable semantics provide a clean solution for concurrent programming for which a small amount of extra synchronization-related overhead is acceptable. However\, C++ programmers pride themselves in squeezing out the last bit of performance\, even if it involves living on the edge. Although the C++ memory model attempts to address those cases\, issues remain. In particular\, so-called “relaxed” atomics do not have clean semantics\, for reasons that appear more and more fundamental. And the discovery that well-motivated hardware characteristics are incompatible with the original model required complicating it. On the other hand\, hardware improvements have greatly reduced the need for the now deprecated “memory_order_consume” facility. \nWe’ll start with an overview of the C++ memory model\, and then outline some of the remaining challenges. We’ll give an example to illustrate why “memory_order_relaxed”\, which attempts to just expose machine load and store instructions\, is inherently much harder to define at the programming language level than it is at the hardware level. \nBio: Hans Boehm works primarily on concurrency issues in the Android platform. He was the initial chair of the ISO C++ Concurrency Study Group\, where he led the addition of threads and associated concurrency semantics to the language. He occasionally gets sidetracked into other topics\, including work on arithmetic in the Google Calculator app.\n\nHans is best known as the original primary author of bdwgc\, a garbage collector for C. He has published extensively on memory management and concurrent programming. He holds a Ph.D. from Cornell University. He is a former chair of ACM SIGPLAN\, an ACM Fellow\, and the recipient of the 2020 ACM SIGPLAN Programming Languages Achievement Award.\nHosted by: Professor Mohsen Lesani \nLocation: Engineering 2\, E2-180\n*Refreshments such as coffee and pastries will be provided. \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://live-events-ucsc.pantheonsite.io/event/cse-colloquium-the-c11-concurrency-memory-model-remaining-challenges/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251021T120000
DTEND;TZID=America/Los_Angeles:20251021T130000
DTSTAMP:20251014T141340Z
CREATED:20251013T151834Z
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SUMMARY:CITRIS Aviation Prize Information Session
DESCRIPTION:Join us for this virtual info session on the 2025–26 CITRIS Aviation Prize\, an exciting multi-campus student competition inviting teams to design innovative solutions for the future of air mobility across the University of California. \nThe session will cover this year’s competition guidelines\, key dates and requirements\, and available resources. Attendees will also have the opportunity for Q&A with members of the CITRIS Aviation Leadership Committee\, composed of aviation research faculty from UC Berkeley\, UC Davis\, UC Merced\, and UC Santa Cruz. \nRegister here to attend. \nFor any questions\, contact aviationprize@citris-uc.org. \n  \nDate: Tuesday\, October 21 \nTime: 12:00 pm – 1:00 pm \nLocation: Zoom (register to attend).
URL:https://live-events-ucsc.pantheonsite.io/event/citris-aviation-prize-info/
CATEGORIES:Meetings & Conferences
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251015T110000
DTEND;TZID=America/Los_Angeles:20251015T110000
DTSTAMP:20250924T212046Z
CREATED:20250924T212046Z
LAST-MODIFIED:20250924T212046Z
UID:10000051-1760526000-1760526000@live-events-ucsc.pantheonsite.io
SUMMARY:2025 Fall STEM Career & Internship Fair
DESCRIPTION:Here is a chance to meet tech recruiters in person! \nIf you are interested in pursuing a career in science\, technology\, engineering\, mathematics or research\, then take advantage of this opportunity to meet recruiters from companies looking to fill various positions (both technical and non-technical). Learn more about internships and full-time career opportunities. Undergraduate students\, graduate students\, and recent alumni are all welcome to attend! \nPLEASE NOTE: You are encouraged to check in at the student registration table in order to participate in the career fair. Bring your student ID. \nWant more support? \n\nVisit a peer coach during drop-in hours\nSchedule a career coaching appointment with a Career Engagement Specialist\nFor PhD students looking to pursue careers in industry\, explore Beyond the Professoriate\n	(Scroll over "Login to Platform" at the top navigation bar and click "Through your institution")\nGet career tips on demand from our Career Success YouTube video library\nStay in the loop by following Career Success on Instagram\n\nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication.\n  \nYou Belong Here: The programs and services described here are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications. \nQuestions? Send to csuccess@ucsc.edu or visit Career Success at Hahn 125 East Entrance\nNeed accessibility support? Let us know at slugtalent@ucsc.edu at least two weeks prior to the fair date.
URL:https://live-events-ucsc.pantheonsite.io/event/2025-fall-stem-career-internship-fair/
LOCATION:Stevenson Event Center\, Stevenson Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251006T110000
DTEND;TZID=America/Los_Angeles:20251006T110000
DTSTAMP:20251001T170739Z
CREATED:20250924T213206Z
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UID:10000168-1759748400-1759748400@live-events-ucsc.pantheonsite.io
SUMMARY:AI Frontier: Data\, Agents & Robots at TechWeek SF
DESCRIPTION:Join us for an immersive SF Tech Week experience hosted by the Silicon Valley AI Pioneer Club and UC Santa Cruz GenAI Center — where AI builders\, investors\, innovators and top researchers converge to explore the technologies shaping tomorrow. Details and reservations are available at  https://partiful.com/e/OtqKL1z4hvYDLMk0uP8w
URL:https://live-events-ucsc.pantheonsite.io/event/ai-frontier-data-agents-robots-at-techweek-sf/
CATEGORIES:Lectures & Presentations
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