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DTSTART;TZID=America/Los_Angeles:20260120T134000
DTEND;TZID=America/Los_Angeles:20260120T150000
DTSTAMP:20260501T120307
CREATED:20251211T224823Z
LAST-MODIFIED:20260108T184635Z
UID:10005827-1768916400-1768921200@events.ucsc.edu
SUMMARY:Behavioral\, Econometrics and Theory Seminar Series Presents: Roberto Corrao
DESCRIPTION:Economics Behavioral\, Econometrics\, & Theory Seminar\nDate: Tuesday\, January 20\, 2026\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Roberto Corrao\nTitle:  Assistant Professor of Economics \nAffiliation:  Stanford University\nHost: Gerelt Tserenjigmid\n \nSeminar title: Contractibility Design\n \nABSTRACT: \nWe introduce a model of incentive contracting in which the principal\, in addition to\nwriting contracts\, must engage in contractibility design: creating an evidence structure\nthat allows them to prove when the agent has breached the contract. Designing an\nevidence structure entails both (i) front-end costs borne ex ante\, such as those of\ndrafting contracts\, and (ii) back-end costs borne ex post\, such as those of generating\nevidence. We find that\, under even small front-end costs\, optimal contracts are coarse\,\nspecifying finitely many contingencies out of a continuum of possibilities. In contrast\,\nunder even large back-end costs\, optimal contracts are complete. Applied to the design\nof procurement contracts\, our results rationalize: (i) the discreteness of contracts\, (ii)\nthe presence of similarly vague contracts in low-stakes and high-stakes settings\, and\n(iii) the discontinuous adjustment of contracts to changes in the economic environment.
URL:https://events.ucsc.edu/event/behavioral-econometrics-and-theory-seminar-series-presents-roberto-corrao/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260115T014000
DTEND;TZID=America/Los_Angeles:20260115T014000
DTSTAMP:20260501T120307
CREATED:20251211T212236Z
LAST-MODIFIED:20251219T220029Z
UID:10005825-1768441200-1768441200@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series Presents: Olivia Bordeu
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, January 15\, 2026\nTime: 1:40 – 3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Olivia Bordeu \nTitle: Assistant Professor of Economics \nAffiliation: University of California\, Berkeley  \nHost: Jeremy West \nSeminar title: Bank Branches and the Allocation of Capital across Cities\n\nABSTRACT: We study how banking market structure and branch networks shape the spatial mobility of capital. Using administrative loan-level data from Chile\, we show that bank-level deposit shocks lead receiving banks to increase lending and lower interest rates relative to other banks. Interest rate reductions are concentrated in cities where the bank has a small market share\, consistent with local market power. We develop and estimate a quantitative spatial model with multi-city banks\, oligopolistic local credit markets\, and frictions in interbank lending. These channels lead to spatial dispersion in interest rates and the marginal productivity of physical capital\, reducing GDP. Interbank frictions reduce steady-state GDP by 0.04%\, while spatial variation in loan markups reduces GDP by 0.5%. Bank mergers improve financial integration between cities but reduce competition\, generating heterogeneous welfare effects that depend on the merging banks’ geographic overlap.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-olivia-bordeu/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260113T134000
DTEND;TZID=America/Los_Angeles:20260113T150000
DTSTAMP:20260501T120307
CREATED:20251211T224403Z
LAST-MODIFIED:20251219T220255Z
UID:10005826-1768311600-1768316400@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Dean Corbae
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, January 13\, 2026\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Dean Corbae\nTitle: William Sellery Trukenbrod Chair in Finance\nAffiliation: University of Wisconsin – Madison\nHost: Grace Gu Steadmon\n \nSeminar title:  A Quantitative Model of Bank Merger Dynamics\n \n\nABSTRACT: \nWe develop a simple model of the bank merger process to study the rise in bank concentration following the deregulation of bank branching in the Riegle-Neal Act of 1994. Motivated by the data where currently 10 (dominant) banks have over 55 percent of the U.S. deposit market share while the remaining over 4000 (fringe) banks cover the rest\, we apply a dominant-fringe framework with a merger stage to model the rise in concentration following the change in regulation making interstate branching possible. First\, we study the effect of the merger wave on competition\, efficiency\, and stability of the banking industry. Then we use our model to understand the interaction between regulatory and monetary policy. Specifically\, how has the bank lending channel of monetary policy been affected by rising concentration; has it amplified or dampened the effectiveness of monetary policy? How might monetary policy itself contribute to mergers and rising concentration?
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-dean-corbae/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251209T160000
DTEND;TZID=America/Los_Angeles:20251209T170000
DTSTAMP:20260501T120307
CREATED:20251202T204536Z
LAST-MODIFIED:20251209T182652Z
UID:10005719-1765296000-1765299600@events.ucsc.edu
SUMMARY:Zhu\, R. (ECE) -  From Neuromorphic Principles to Efficient Neural Language Architectures
DESCRIPTION:While Large Language Models exhibit remarkable capabilities\, their reliance on the standard Transformer architecture imposes prohibitive computational costs and quadratic memory complexity. To bridge the gap between biological efficiency and high-performance AI\, we have established foundational work in linearizing attention and maximizing hardware utilization through architectures such as RWKV and MatMul-Free networks. Addressing the remaining bottlenecks in long-term memory consolidation and optimization stability\, we propose a research roadmap focused on “In-Place Test-Time Training” (TTT) to enable compositional memory via dynamic weight updates\, and the Muon optimizer to stabilize deep reasoning through orthogonal gradient updates. Ultimately\, this work aims to unify neuromorphic principles with scalable deep learning to enable robust performance in resource-efficient environments. \nEvent Host: Ridger Zhu\, Ph.D. Student\, Electrical and Computer Engineering  \nAdvisor: Jason Eshraghian \nZoom- https://ucsc.zoom.us/j/95241268060?pwd=WDMgDWhhSyXNh8NZpBDvgpbcMVbvUz.1 \nPasscode- 256794
URL:https://events.ucsc.edu/event/ridger-z-ece-from-neuromorphic-principles-to-efficient-neural-language-architectures/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251208T130000
DTEND;TZID=America/Los_Angeles:20251208T140000
DTSTAMP:20260501T120307
CREATED:20251203T220535Z
LAST-MODIFIED:20251203T220535Z
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SUMMARY:Ferdous\, N. (CSE) - SPECSIM : A Simulation Infrastructure Mitigating Transient Timing Attacks
DESCRIPTION:   Transient execution attacks are serious security threats in modern-day processors. Out-of-order execution compels the processor to access data that should not be otherwise perceived. Leakage of that secret information creates a covert channel for the attacker for various types of transient and speculative attacks. Transient based execution attacks emanate when the secret information is leaked by the execution of transient instructions which are executed by the processor but never got committed from the processor pipeline. However\, on the microarchitectural level\, the effect of these transient instructions is noticeable. Generally\, microarchitectural state is the state that a processor maintains to improve performance which is transparent to software. The secret data retained in the microarchitectural state are susceptible to create a covert channel and thereby are at higher risk to be observed by the attacker for transient attacks.\nThis research work presents a robust and secure simulation infrastructure that implements multiple strategies to mitigate transient attacks in the timing domain. This work proposes various strategies e.g.\, Reorder Buffer Transient Flushing Technique in Randomized Transient Pipeline\, SpecSCB for making the speculative instructions invisible to the architectural state\, for the mitigation of the timing attack. In this work\, transient instructions are added in the proposed Randomized Transient Pipeline and are flushed effectively\, using Transient Flushing Techniques\, squashing all the transient instruction residues that could remain in the Randomized Transient Pipeline. This flushing strategy also ensures no difference in the execution time of the base simulation and the proposed Randomized Transient Simulation\, leaving no leakage for transient based timing attacks. In addition to the simulation platform\, a novel Transient Verification Framework is also proposed which consists of Global Time Signature Verification Model and Retirement Time Signature Verification Model. The transient verification framework identifies if there is any anomaly in the timing domain\, related to all existing instructions\, which could leave space for covert channel for timing attacks. Overall\, this work has provided an extensive and robust simulation platform infrastructure for the researchers to explore various types of attacks with their respective mitigating solutions. \nHost: Nilufar Ferdous\, Ph.D. Student\, Computer Science and Engineering  \nAdvisor: Jose Renau  \nZoom- https://us06web.zoom.us/j/84111701472?pwd=l3s5sQszKt35paVOWNxxLaE8jphG80.1 \nPasscode- Qi1pAk
URL:https://events.ucsc.edu/event/ferdous-n-cse-specsim-a-simulation-infrastructure-mitigating-transient-timing-attacks/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251208T093000
DTEND;TZID=America/Los_Angeles:20251208T104500
DTSTAMP:20260501T120307
CREATED:20251117T202808Z
LAST-MODIFIED:20251119T192125Z
UID:10005162-1765186200-1765190700@events.ucsc.edu
SUMMARY:CSE Colloquium: Making Systems Secure with Information Flow
DESCRIPTION:Presenter: Andrew Myers\, Cornell University\n\nAbstract:\nModern civilization depends on complex\, interconnected software systems that must safeguard trustworthy or private data. We have ever-growing mountains of code yet lack principled ways to build large systems that are secure. What is missing is a way to securely build these systems compositionally: module by module and layer by layer. Information flow control\, enforced throughout software and hardware\, offers a plausible way to achieve compositional security\, and is increasingly being used by industry. I describe how my research group has incorporated information-flow security into various languages and systems: hardware architectures resilient to timing and speculation attacks\, smart contracts\, and automatically synthesized cryptographic and distributed protocols. Information flow is inherently compositional and makes possible strong\, provable security guarantees that can be connected to cryptographic security definitions. Importantly\, it also guides developers during the design process\, exposing security-critical decisions up front. \nBio:\nAndrew Myers is the Class of 1912 Professor of Engineering in the Department of Computer Science at Cornell University. He received his Ph.D. in Electrical Engineering and Computer Science from MIT\, advised by Barbara Liskov. His research interests include programming languages\, computer security\, and distributed and persistent programming systems. His work on computer security has focused on practical\, sound\, expressive languages and systems for enforcing information security. Myers is an ACM Fellow and has authored several award-winning papers. He currently serves as the chair of the ACM SIGPLAN Executive Committee. \nHosted By: Professor Mohsen Lesani \nLocation: Engineering 2\, E2-180 \nZoom: https://ucsc.zoom.us/j/97682837116?pwd=WZBzhJY4p7rTZshqglmOs6xBtBasbE.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-making-systems-secure-with-information-flow/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251208T091500
DTEND;TZID=America/Los_Angeles:20251208T103000
DTSTAMP:20260501T120307
CREATED:20251205T173457Z
LAST-MODIFIED:20251205T174005Z
UID:10005749-1765185300-1765189800@events.ucsc.edu
SUMMARY:Jamilan\, S. (CSE) -  Profile-guided Compiler Optimizations for Data Center Workloads
DESCRIPTION:Modern applications\, such as data center workloads\, have become increasingly complex. These applications primarily operate on massive datasets\, which involve large memory footprints\, irregular access patterns\, and complex control and data flows. The processor-memory speed gap\, combined with these complexities\, can lead to unexpected performance inefficiencies in these applications\, preventing them from achieving optimal performance. Considering the complexity and size of data center applications\, manually identifying and resolving performance issues is often impractical or impossible. Instead\, developing new compiler optimization techniques can be a more effective and scalable solution to boost both performance and energy efficiency. In this thesis\, we focus on identifying the root causes that limit the performance of data center workloads. We analyze the limitations of current profile-guided compiler optimization techniques for addressing these performance gaps. Finally\, we propose two profile-guided optimization techniques\, APT-GET and RIFS\, which can be integrated into the LLVM optimization pipeline to deliver further improvements. To hide the long latency of memory accesses\, we introduce APT-GET\, a profile-guided technique that ensures timely prefetches by leveraging dynamic execution-time information to build a novel analytical model that finds the optimal prefetch distance and injection site based on the collected profile. We study APT-GET across 10 real-world applications and demonstrate that it achieves a speedup of up to 1.98× and an average of 1.30×. To enable runtime value-invariant function specialization to reduce redundant operations\, we introduce RIFS\, a profile-guided compiler technique that specializes functions based on runtime-invariant call-site-specific argument values. RIFS introduces a novel value-profiling LLVM pass to identify runtime invariant arguments and a subsequent LLVM transformation pass to generate specialized function variants tailored to these value profiles. To efficiently select among potentially thousands of specialization candidates\, we develop a predictive cost model that estimates each candidate’s performance benefit before code generation. RIFS achieves an average speedup of 5.3% and an instruction reduction of 2.5% over the LLVM -O3+PGO baseline across 12 real-world applications. \nHost: Saba Jamilan\, Ph.D. Candidate\, Computer Science and Engineering  \nAdvisor: Heiner Litz  \nZoom- https://ucsc.zoom.us/j/95818759324?pwd=rdaS7G1V7O6faRhNOgFyq1OR50eSLK.1 \nPasscode- 652917 \n 
URL:https://events.ucsc.edu/event/jamilan-s-cse-profile-guided-compiler-optimizations-for-data-center-workloads/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251205T130000
DTEND;TZID=America/Los_Angeles:20251205T140000
DTSTAMP:20260501T120307
CREATED:20251203T234430Z
LAST-MODIFIED:20251203T234430Z
UID:10005731-1764939600-1764943200@events.ucsc.edu
SUMMARY:Garg\, S. (CSE) - MAPPING ANNOTATIONS FROM NETLIST TO SOURCE CODE
DESCRIPTION:Hardware design flows have become increasingly complex as modern chips integrate billions\nof transistors and rely on aggressive synthesis optimizations to meet performance\,\narea\, and power targets. While these transformations improve circuit efficiency\, they\nalso erase the correspondence between gate-level netlists and their originating HDL\nsource lines. The loss of traceability makes post-synthesis debugging\, timing backannotation\,\nand root-cause analysis extremely difficult. Existing solutions depend on\ntool-specific metadata or preserved signal names\, which are often lost after flattening\,\nretiming\, or logic restructuring.\nTo address this long-standing problem\, this thesis presents SynAlign\, a structural\nalignment framework that restores the mapping between optimized netlists and\nsource code without relying on synthesis metadata. SynAlign treats both the reference\nRTL and synthesized designs as graphs and iteratively aligns them using shared\nstructural cues—such as sequential boundaries\, fan-in/fan-out relationships\, and partial\nnaming patterns. The algorithm employs anchor-based seeding\, multi-stage neighborhood\nmatching\, and a lightweight scoring function to propagate correspondences\nefficiently across large designs.\nExtensive evaluation demonstrates that SynAlign achieves over 90% line-level\nalignment accuracy across diverse designs\, maintaining robustness even when 60% of\nsignal names are obfuscated or removed. The framework scales linearly with design size\,\ncompleting alignment on multi-million-node circuits within minutes. Controlled tests\nconfirmed structural stability under synthetic noise\, while production-level validation\non real processor and accelerator modules verified industrial applicability.\nBy recovering structural visibility lost during synthesis\, SynAlign bridges a\ncritical gap between front-end design intent and post-synthesis implementation. Its explainable\nalignment enables faster debug cycles\, more accurate timing correlation\, and\nprovides a foundation for next-generation EDA tools that integrate traceability\, optimization\ntransparency\, and source-level introspection into the hardware development\nprocess. \nHost: Sakshi Garg\, Ph.D. Candidate\, Computer Science and Engineering  \nAdvisor: Jose Renau \nZoom- https://ucsc.zoom.us/j/96207792766?pwd=bjBfusfaucoqMGZNgayum2te4tsLc5.1 \nPasscode- 669162
URL:https://events.ucsc.edu/event/garg-s-cse-mapping-annotations-from-netlist-to-source-code/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251205T100000
DTEND;TZID=America/Los_Angeles:20251205T123000
DTSTAMP:20260501T120307
CREATED:20251125T212206Z
LAST-MODIFIED:20251125T212206Z
UID:10005646-1764928800-1764937800@events.ucsc.edu
SUMMARY:DeGrendele\, C. (AM) - Learning-Augmented and Structure-Preserving Methods for Conservation Law Solvers
DESCRIPTION:In this work\, we develop numerical methods for conservation laws that explore statistical\, structure-preserving\, and machine-learning-based approaches\, each built on top of traditional numerical solvers. First\, we develop a general Gaussian-process-based “recipe’’ for constructing high-order linear operators such as interpolation\, reconstruction\, and derivative approximations. Building on this recipe\, we derive a kernel-agnostic convergence theory for GP-based operators that interprets them as generalized finite-difference schemes\, defines an effective order-of-accuracy proxy that captures non-ideal truncation-error structure\, and uses this metric to select stencil geometries and kernel hyperparameters analytically. We then introduce a new second-order kernel\, Discontinuous Arcsin (DAS)\, that is stationary and prevents oscillations. DAS is integrated into a shock-capturing framework called the Multidimensional Optimal Order Detection (MOOD) method and shows an increase in efficiency by admitting less first order cascades. Next\, we address the long-standing problem of spurious pressure oscillations in compressible multi-component and real-fluid simulations by introducing a fully conservative pressure-equilibrium-preserving scheme and a high-order fully conservative approximate variant that apply to arbitrary equations of state. Unlike existing approaches\, these methods avoid non-conservative updates or EOS-specific constructions\, and on smooth interface advection tests with ideal-gas\, stiffened-gas\, and van der Waals fluids they reduce spurious pressure oscillations by orders of magnitude relative to current schemes. We then propose a hybrid numerical–machine learning framework for mixed hyperbolic–parabolic systems in which only the diffusive contribution is learned while the hyperbolic fluxes are advanced with standard shock-capturing methods\, enabling timesteps at a hyperbolic CFL. Within this framework\, we compare several neural architectures and loss designs on viscous Burgers tests and on the one-dimensional Euler equations with heat conduction\, showing that U-shaped neural operators combined with multi-step and TVD-style regularization improve long-time stability and spectral behavior\, and we analyze the resulting coupled schemes via eigenvalue-based stability diagnostics. Finally\, we apply high-order\, shock-capturing finite-difference methods within NASA’s Launch Ascent and Vehicle Aerodynamics (LAVA) framework to quantify acoustic and pressure loads on the Artemis Mobile Launcher\, including multiphase simulations of water-suppression systems and comparisons to flight data that inform hardware design for future missions. Collectively\, this work offers a set of targeted advances in kernel-based numerical operators\, conservative schemes and learning-augmented solvers each aimed at improving accuracy\, stability\, or efficiency in complex multiphysics flow simulation. \nEvent Host: Chris DeGrendele\, Ph.D. Candidate\, Applied Mathematics \nAdvisor: Dongwook Lee  \nZoom- https://ucsc.zoom.us/j/96308438100?pwd=9El4idgPoaVnAd9m8M6As6uaSbcojp.1 \nPasscode-  123456
URL:https://events.ucsc.edu/event/degrendele-c-am-learning-augmented-and-structure-preserving-methods-for-conservation-law-solvers/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251204T134000
DTEND;TZID=America/Los_Angeles:20251204T150000
DTSTAMP:20260501T120307
CREATED:20251108T001824Z
LAST-MODIFIED:20251120T170815Z
UID:10005120-1764855600-1764860400@events.ucsc.edu
SUMMARY:Behavioral\, Econometrics and Theory Seminar Series Presents: Jacopo Magnani
DESCRIPTION:Economics Behavioral\, Econometrics\, & Theory Seminar\nDate: Thursday\, December 4\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Jacopo Magnani \nTitle:  Associate Professor of Economics \nAffiliation: Norwegian University of Science and Technology\, visiting Caltech\nHost: Kristian Lopez Vargas\n \nSeminar title: Behavioral Limits to Complete Markets\n \nABSTRACT:  Standard economic theory predicts that individuals should prefer complete markets to incomplete markets\, as the former allow state-contingent claims for every possible outcome. Yet real-world markets remain incomplete\, and the demand-side origins of the phenomenon are poorly understood. We develop an experimental framework to examine whether investors may themselves prefer incomplete markets\, and highlight two potential mechanisms: preference instability\, which exposes agents to greater regret or temptation in complete markets\, and complexity costs\, which arise because higher dimensionality increases cognitive effort and errors. In our experiment\, participants consistently reveal a preference for in complete markets\, contradicting the rational benchmark. Comparing homegrown and induced-preference treatments\, we find no evidence that this behavior is driven by preference instability. Instead\, utility losses\, response times\, and subjective ratings indicate that complexity costs drive the preference for incompleteness. Structural estimation confirms that complete markets are several times more complex than incomplete ones\, providing a behavioral foundation for market incompleteness. 
URL:https://events.ucsc.edu/event/behavioral-econometrics-and-theory-seminar-series-presents-jacopo-magnani/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251203T115000
DTEND;TZID=America/Los_Angeles:20251203T131000
DTSTAMP:20260501T120307
CREATED:20251108T002424Z
LAST-MODIFIED:20251125T164318Z
UID:10005121-1764762600-1764767400@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Matt Weinberg
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Wednesday\, December 3\, 2025\nTime: 11:50am – 1:10 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Matt Weinberg \nTitle: Professor of Economics \nAffiliation: Ohio State University\nHost: Jon Robinson\n \nSeminar title: Oligopsony and Collective Bargaining: Evidence from K-12 Teachers \n\nABSTRACT:  Employers facing limited labor market competition may suppress wages below socially optimal levels. Unions can counteract this wage suppression through collective bargaining\, though the may also push wages above the socially optimal level. To assess these forces\, we estimate a structural model of labor supply\, labor demand\, and Nashin-Nash bargaining over wages between teacher unions and school districts in Pennsylvania’s K-12 public school system from 2013 to 2020. Using the estimated parameters\, we compare negotiated equilibrium wages and employment to the pure oligopsony scenario and the social planner scenario. On average\, pure oligopsony reduces wages 16 percent below the social optimum\, while collective bargaining raises wages by 9 percent above the optimum. This average masks substantial district-level heterogeneity driven by variation in bargaining power. Twenty-seven percent of schools have negotiated salaries below the social optimum due to cross-district externalities\, where high salaries at one school lead to hiring reductions\, which increase labor supply in competing districts. 
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-matt-weinberg/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251203T110000
DTEND;TZID=America/Los_Angeles:20251203T123000
DTSTAMP:20260501T120307
CREATED:20251103T224713Z
LAST-MODIFIED:20251119T191907Z
UID:10005028-1764759600-1764765000@events.ucsc.edu
SUMMARY:When Less is More: Applications of Type-Based Underapproximate Reasoning
DESCRIPTION:Presenter: Suresh Jagganathan\, Purdue University\n\n\nAbstract:\nUnlike program verifiers\, symbolic execution and property-based testing tools underapproximate program behavior: they aim to report only real bugs (no false positives)\, at the cost of potentially missing some (false negatives). Recent work has sought to place such tools on a more formal footing\, primarily through the development of incorrectness logics that capture a program’s ‘must’ rather than ‘may’ behavior. This talk explores how to transplant these ideas of underapproximation into an expressive refinement type system. Our development enables us to:\n\n(a) Typecheck the completeness of property-based testing (PBT) generators\, ensuring that a well-typed generator produces all values (i.e.\, fully covers) its output type;\n\n(b) Synthesize effectful generators by extending the type system to model underapproximations of sequences of effects rather than just values; and\n\n(c) Guide symbolic execution in effectful functional programs\, prioritizing execution paths capable of falsifying data structure safety properties.\n\nOur results demonstrate that viewing types through the lens of underapproximation offers a principled foundation for designing\, implementing\, and reasoning about program analyzers and test generators\, significantly improving their reliability and practical utility in the process.\n\n\nBio:\nSuresh Jagannathan is the Samuel D. Conte Professor of Computer Science at Purdue University. His interests span functional programming\, program verification\, distributed and concurrent systems\, and trustworthy machine learning. In recent years\, he has spent time as an Amazon Scholar\, a program manager at the Information Innovoation Office (I2O) at DARPA\, and a visiting researcher at the University of Cambridge. He serves an Associate Editor of ACM TOPLAS\, and has served as both General and PC Chair of POPL (ACM Symposium on Programming Languages).\n\n\nHosted by: Professor Mohsen Lesani\n\n\nLocation: E2-180\n*Refreshments such as coffee and pastries will be provided\n\n\n\nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/when-less-is-more-applications-of-type-based-underapproximate-reasoning/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251125T134000
DTEND;TZID=America/Los_Angeles:20251125T150000
DTSTAMP:20260501T120307
CREATED:20251108T002503Z
LAST-MODIFIED:20251120T174503Z
UID:10005117-1764078000-1764082800@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Helen Popper
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, November 25\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Helen Popper\nTitle: Professor of Economics\nAffiliation: Santa Clara University \nHost: Galina Hale\n \nSeminar title:  Artificial Intelligence and Macroeconomic Dynamics: Growth\, Pricing\, and Distribution\n \nABSTRACT:  This paper builds a simple general equilibrium model in which an AI producer is a monopolist who both learns by doing and uses AI recursively as an input. These mechanisms link today’s scale to tomorrow’s costs\, so pricing is dynamic: the firm sets a price below the static monopoly benchmark to expand capacity and speed learning. Final goods are produced by monopolistic competitors with constant returns to scale each period. We first use Cobb–Douglas technologies to solve for a generalized balanced growth path that pins down the condition for stable\, nonexplosive growth. On this path\, AI output grows faster than final output\, the relative price of AI falls persistently\, real wages rise with overall output\, and the specialized–to–nonspecialized wage ratio is flat. We then analyze CES versions of both sectors and derive a closed form effective demand elasticity for AI that combines input substitution in production with final-goods market substitution across varieties. Finally\, simulations link adoption and distribution to elasticities\, and they allow us to explore the dynamics. When final-goods inputs are complements\, adoption is learning-first and capital-light before scaling; when they are substitutes\, adoption is scale-first and the two-phase pattern attenuates. On the distribution side\, the specialized–to–nonspecialized wage premium is lowest with complements and rises with substitutes. Greater substitutability in AI production amplifies these patterns without changing their sign.
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-helen-popper/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/popperhelen.jpeg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251121T123000
DTEND;TZID=America/Los_Angeles:20251121T140000
DTSTAMP:20260501T120307
CREATED:20251118T163526Z
LAST-MODIFIED:20251118T163526Z
UID:10005179-1763728200-1763733600@events.ucsc.edu
SUMMARY:Ramollari\, H. (ECE) - An Optofluidic Spectrometer and Applications in Biosensing
DESCRIPTION:Miniaturized spectrometers have the potential to replace bulky and expensive benchtop models. We have previously demonstrated a multimode interference (MMI) waveguide-based spectrometer that achieves high performance while minimizing its footprint. \nIn this talk\, the integration of the MMI spectrometer into an optofluidic device is proposed. This integration opens up applications such as the detection of single particle fluorescence spectra and absorption spectra. \nMoreover\, adding a metasurface to the spectrometer waveguide is expected to enhance the sensitivity of single particle detection and simplify the analysis methods. \nFinally\, to improve the MMI waveguide spectrometer a new nanophotonic platform is proposed. \nEvent Host: Helio Ramollari\, Ph.D. Student\, Electrical Engineering  \nAdvisor: Holger Schmidt  \nZoom- https://ucsc.zoom.us/j/99623652977?pwd=j2hy77fV9jdGuEzI0iGa5JVAa35W1b.1 \nPasscode- 576057
URL:https://events.ucsc.edu/event/ramollari-h-ece-an-optofluidic-spectrometer-and-applications-in-biosensing/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251120T090000
DTEND;TZID=America/Los_Angeles:20251120T100000
DTSTAMP:20260501T120307
CREATED:20251118T162058Z
LAST-MODIFIED:20251118T162058Z
UID:10005178-1763629200-1763632800@events.ucsc.edu
SUMMARY:Jorquera\, Z. (CSE) - Quantum Entanglement Bounds and the Approximation Algorithms That Use Them
DESCRIPTION:One of the central challenges in quantum computing is finding or approximating the ground-state energy of a local Hamiltonian\, a quantum analogue of classical constraint satisfaction problems (CSPs). Among these\, the Quantum Max-Cut problem serves as a canonical example\, paralleling the classical Max-Cut problem. Despite its foundational importance in both theoretical computer science and condensed matter physics\, our understanding of approximation algorithms for Quantum Max-Cut and related local Hamiltonian problems remains limited\, primarily due to the difficulty of representing and optimizing over entangled quantum states. \nIn this advancement talk\, we introduce the quantum information background needed to contextualize the results and the significance of the proposed future work by drawing an analogy to classical optimization. We then investigate approximation algorithms for 2-local Hamiltonians beyond qubit systems\, focusing on higher-dimensional qudit analogues\, such as Quantum Max-d-Cut and a new problem we introduce: the Maximal Entanglement problem. We establish new entanglement upper bounds for these problems based on the star bound\, a key tool for analyzing entanglement monogamy in Hamiltonian optimization. For the Maximal Entanglement problem\, we show that these bounds can be efficiently certified via semidefinite programs (SDPs) and that they directly admit a (1/d + O(1/D))-approximation algorithm (where D is the degree of the interaction graph)\, which beats random assignment. For Quantum Max-d-Cut\, the star bound gives a more complicated notion of entanglement\, for which we show that the basic SDP can verify this bound for all reduced marginals on up to five vertices when d=3\, but likely fails for larger subgraphs. We further propose that b-matchings\, with b = d-1\, capture the appropriate notion of entanglement for these higher-dimensional Quantum Max-d-Cut systems\, analogous to matchings in the qubit/Quantum Max-Cut case. Leveraging this insight\, we design a novel 2-matching-based algorithm that outperforms existing approaches for Quantum Max-3-Cut\, giving an approximation ratio of 0.555. \nThe present work advances the theoretical framework for understanding approximations in qudit Hamiltonians and highlights open directions for certifying quantum upper bounds as well as finding lower bounds via approximation algorithms. \n  \nEvent Host: Zack Jorquera\, Ph.D. Student\, Computer Science and Engineering  \nAdvisor: Alexandra Kolla  \nZoom- https://ucsc.zoom.us/j/98034235739?pwd=k260nd9labWT8xoQ9Cv3m2TATGw7VB.1
URL:https://events.ucsc.edu/event/jorquera-z-cse-quantum-entanglement-bounds-and-the-approximation-algorithms-that-use-them/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251119T110000
DTEND;TZID=America/Los_Angeles:20251119T121500
DTSTAMP:20260501T120307
CREATED:20251105T220936Z
LAST-MODIFIED:20251118T181912Z
UID:10005101-1763550000-1763554500@events.ucsc.edu
SUMMARY:CSE Colloquium - Flux: Refinement Types for Verified Rust Systems
DESCRIPTION:Presenter: Ranjit Jhala\, UCSD\n\nAbstract: Rust has risen as a language of choice for new systems code — from OS kernels to hypervisors\, firmware and run-times — as it is memory safe and provides the sort of abstractions needed for efficient low-level systems implementation. We present Flux\, a refinement type checker for Rust that shows how logical refinements can work in tandem with Rust’s ownership mechanisms to yield ergonomic type-based verification of low-level systems code. We then present a case study showing how Flux was used to formally verify process isolation in Tock: a microcontroller OS used in security-critical systems like the Google Security Chip (GSC) and Microsoft’s Pluton security processor. Our verification effort unearthed multiple subtle bugs that broke isolation\, allowing malicious applications to compromise the OS to potentially steal sensitive data or brick or take control of the OS. We describe how Flux helped design and implement a new granular process abstraction that is both simpler\, more efficient\, and yields formally verified security guarantees.\n\nBio:\nRanjit Jhala is a professor of Computer Science and Engineering at the University of California\, San Diego. He works on algorithms and tools that help engineer reliable computer systems. His work draws from and contributes to the areas of Model Checking\, Program Analysis\, and Automated Deduction\, and Type Systems. He helped create several influential and award winning systems including the BLAST software model checker and Liquid Types\, received ACM SIGPLAN’s Robin Milner Young Researcher Award\, and is a Fellow of the ACM.\n\nHosted by: Professor Mohsen Lesani\n\nLocation: Engineering 2\, Room E2-180\n*Refreshments such as coffee and pastries will be provided.\n\nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1
URL:https://events.ucsc.edu/event/cse-colloquium-flux-refinement-types-for-verified-rust-systems/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/235.jpg
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251118T134000
DTEND;TZID=America/Los_Angeles:20251118T150000
DTSTAMP:20260501T120307
CREATED:20251107T004436Z
LAST-MODIFIED:20251120T171912Z
UID:10005109-1763473200-1763478000@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Yuriy Gorodnichenko
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, November 18\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Yuriy Gorodnichenko\nTitle: Quantedge Presidential Professor of Economics\nAffiliation: UC Berkeley\nHost: Pascal Michaillat\n \nSeminar title:  How costly are business cycle volatility and inflation? A Vox Populi approach\n \nABSTRACT:  Using surveys of households across thirteen countries\, we study how much individuals would be willing to pay to eliminate business cycles. These direct estimates are much higher than traditional measures following Lucas (2003): on average\, households would be prepared to sacrifice around 5-6% of their lifetime consumption eliminate business cycle fluctuations. A similar result holds for inflation: to bring inflation to their desired rate\, individuals would be willing to sacrifice around 5% of their consumption. Willingness to pay to eliminate business cycles and inflation is generally higher for those whose consumption is more pro-cyclical\, those who are more uncertain about the economic outlook\, and those who live in countries with greater historical volatility. 
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-yuriy-gorodnichenko/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/Yuriy-Gorodnichenko.jpg
GEO:37.0009723;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Engineering 2 Engineering 2 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Engineering 2 1156 High Street:geo:-122.0632371,37.0009723
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251117T123000
DTEND;TZID=America/Los_Angeles:20251117T133000
DTSTAMP:20260501T120307
CREATED:20251106T184902Z
LAST-MODIFIED:20251106T185358Z
UID:10005104-1763382600-1763386200@events.ucsc.edu
SUMMARY:CM Seminar: "Playful Design to Empower Climate Adaptation - What are we missing for real-life impact?"
DESCRIPTION:Presented by: Linda Hirsch \n  \nDescription: “Games and playful interventions have been researched to increase awareness of climate change impacts and educate about mitigation and adaptation measures. However\, besides increased awareness\, what real-life impact and adapted behaviors can we actually observe from such interventions? In this talk\, I will reflect on the differences between short-term and long-term community empowerment through playful interventions and discuss three outstanding research directions for designing real-life climate adaptation.” \nBio: Linda Hirsch is a postdoctoral researcher at Computational Media\, UCSC\, under the supervision of Katherine Isbister. She holds a magna cum laude doctoral degree in Media Informatics from LMU Munich\, Germany. Her research focuses on exploring\, conceptualizing\, and creating meaningful human-environment interactions to strengthen communities toward increased climate resilience. Linda Hirsch has been an elected executive committee member of the German group “Be-greifbare Interaktion” since 2021\, an expert research group within the German Society of Information Technology regarding topics for tangible and embedded interfaces.  \n  \nHosted by: Professor Katherine Isbister \nWhen: Monday\, November 17\, 2025 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @ UCSC Main Campus\, E2-280. \nViewing room @ SVC 3212.  \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \n  \nZoom info:  \nhttps://ucsc.zoom.us/j/97750591512?pwd=YLpfQyb9rQCAJaxBSWqO5vVzajdD3r.1 \nMeeting ID: 977 5059 1512\nPasscode: 039229
URL:https://events.ucsc.edu/event/cm-seminar-playful-design-to-empower-climate-adaptation-what-are-we-missing-for-real-life-impact/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251113T134000
DTEND;TZID=America/Los_Angeles:20251113T150000
DTSTAMP:20260501T120307
CREATED:20251105T211520Z
LAST-MODIFIED:20251120T172017Z
UID:10005100-1763041200-1763046000@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Giovanni Peri
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, November 13\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Giovanni Peri\nTitle: C. Bryan Cameron Distinguished Professor in International Economics \nAffiliation: UC Davis\nHost: Gueyon Kim\n \nSeminar title: How the1942 Japanese Exclusion Impacted U.S. Agriculture\n \nABSTRACT:  In the early 1940s\, Japanese American farmers and farm workers represented an important part of agriculture-specific human capital in the United States. In 1942 all those living in the “exclusion zone” along the WestCoastwereforcefully relocated to internment camps and most of them never returned to farming. Using county-level panel data from historical agricultural censuses and a triple-difference (DDD) estimation approach we find that\, by 1960\, counties in the exclusion zone experienced 12% lower cumulative growth in farm value for each percentage point loss of their 1940 share of Japanese farm workers\, relative to counties outside the exclusion zone. Farm revenues\, farm productivity\, adoption of high-value crops\, mechanization\, and farm wages were also correspondingly lower. Taken together\, these findings are consistent with Japanese farmers representing hard-to-replace human capital\, rather than replaceable labor\, in US agriculture.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-giovanni-peri/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/PeriGiovanni-1.jpg
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251112T110000
DTEND;TZID=America/Los_Angeles:20251112T121500
DTSTAMP:20260501T120307
CREATED:20251106T173342Z
LAST-MODIFIED:20251106T185851Z
UID:10005103-1762945200-1762949700@events.ucsc.edu
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://events.ucsc.edu/event/cse-colloquium-neurosymbolic-ai-from-research-to-industry/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
ATTACH;FMTTYPE=image/webp:https://events.ucsc.edu/wp-content/uploads/2025/11/Image_20250815_165250_742.webp
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251106T134000
DTEND;TZID=America/Los_Angeles:20251106T150000
DTSTAMP:20260501T120307
CREATED:20251105T202234Z
LAST-MODIFIED:20251120T172052Z
UID:10005099-1762436400-1762441200@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Matt Pecenco
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, November 6\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Matt Pecenco\nTitle: Orlando Bravo Assistant Professor of Economics \nAffiliation: Brown University \nHost: Ariel Zucker \n \nSeminar title: Conviction\, Incarceration\, and Policy Effects in the Criminal Justice System\n \nABSTRACT:   The criminal justice system affects millions of Americans through criminal convictions and incarceration. In this paper\, we introduce a new method for credibly estimating the effects of both conviction and incarceration using randomly assigned judges as instruments for treatment. Misdemeanor convictions\, especially for defendants with a shorter criminal record\, cause an increase in the number of new offenses committed over the following five years. Incarceration on more serious felony charges\, in contrast\, reduces recidivism during the period of incapacitation\, but has no effect after release. Our method allows the researcher to isolate specific treatment effects of interest as well as estimate the effect of broader policies; we find that courts could reduce crime by dismissing marginal charges against defendants accused of misdemeanors\, with larger reductions among first-time defendants and those facing more serious charges.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-matt-pecenco/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/11/PecencoMatt.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251105T110000
DTEND;TZID=America/Los_Angeles:20251105T121500
DTSTAMP:20260501T120307
CREATED:20251015T215159Z
LAST-MODIFIED:20251022T182643Z
UID:10004885-1762340400-1762344900@events.ucsc.edu
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://events.ucsc.edu/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:20251103T123000
DTEND;TZID=America/Los_Angeles:20251103T133000
DTSTAMP:20260501T120307
CREATED:20251023T203726Z
LAST-MODIFIED:20251023T213249Z
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SUMMARY:CM Seminar - "Building SimCity: How to Put the World in a Machine"
DESCRIPTION:  \n \nPresented by: Chaim Gingold \n  \nDescription: As play is intrinsic to humanity\, it should come as no surprise that the history of computing is veined with playful simulations and games of all kinds. From the Balinese cockfight to Los Alamos’s Monte Carlo simulations\, play and games\, in all their kaleidoscopic glory\, reflect the diverse cultures and communities of those who make and play them. \nThis talk focuses upon SimCity\, the genre-defying urban planning hit from 1989\, and the people who made it. We’ll examine how SimCity’s design counts urban planning\, videogames\, graphical user interfaces\, and complexity science among its many influences. This set the stage for SimCity’s reception and enabled Maxis\, SimCity’s developer\, to establish relationships with wide-ranging communities: Nintendo\, the Santa Fe Institute\, Wall Street venture capitalists\, and more. \nFocusing on people such as developers\, managers\, and investors sheds light on the messy process of software development—a negotiation between individuals\, their aspirations and worldviews\, and shape-shifting technologies. Springing forth from this mess came The Sims\, which required an extraordinary amount of research and development. But this same mess also thwarted Maxis’s solvency and its attempts to bring The Sims to market. Ultimately\, we’ll see how SimCity\, Maxis\, and The Sims—like games\, play\, and software more generally—reflect their time and place\, and the people who make them. \n  \nBio: Chaim Gingold is the author of Building SimCity: How to Put the World in a Machine (MIT Press)\, which Stewart Brand called “one of the best origin stories ever told and the best account I’ve seen of how innovation actually occurs in computerdom.” Gingold began his design career apprenticed to Will Wright on Spore\, where his chief accomplishment was designing the critically acclaimed Spore Creature Creator. His projects\, like Earth: A Primer\, a science book made of interactive toys\, have been featured by Wired\, CNN\, and the New York Times. \n  \nHosted by: Professor Nathan Altice \nWhen: Monday\, November 3\, 2025 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @ UCSC Main Campus\, E2-280. \nViewing room @ SVC 3212.  \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info:  \nhttps://ucsc.zoom.us/j/95438112782?pwd=M5p0WNpWamQMui1ZO5Ry71GB0vK2fq.1\nMeeting ID: 954 3811 2782\nPasscode: 038355
URL:https://events.ucsc.edu/event/cm-seminar-building-simcity-how-to-put-the-world-in-a-machine/
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:20251030T140000
DTEND;TZID=America/Los_Angeles:20251030T150000
DTSTAMP:20260501T120307
CREATED:20251028T190921Z
LAST-MODIFIED:20251028T190921Z
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SUMMARY:Human Acceptance of Autonomous Systems
DESCRIPTION:Speaker: Sina Nordhoff\, Postdoctoral Researcher\, Institute of Transportation Studies at UC Davis.\nTitle: Human Acceptance of Autonomous Systems.\nTime: Thursday\, Oct 30th\, 2025\, 2:00-3:00 pm.\nLocation: E2-506 or Zoom. \nAbstract: This seminar explores how society engages with autonomous transportation systems\, focusing on automated vehicles and Advanced Air Mobility (AAM). Dr. Sina Nordhoff will present research on human acceptance\, trust\, and safety\, emphasizing that public confidence and social readiness are essential alongside technological progress. Drawing on theoretical models\, real-world applications\, and extensive empirical data\, including over 220 interviews and 40\,000 surveys\, Dr. Nordhoff will identify key factors shaping acceptance\, such as socio-demographics\, personality traits\, perceived risks and benefits\, and the effects of misuse or miscalibrated trust. The seminar will highlight how ethical considerations\, societal norms\, and regulatory frameworks influence deployment. Attendees will gain insight into how this work can guide policymakers\, industry\, and communities in ensuring responsible\, equitable\, and safe implementation. Dr. Nordhoff will also briefly discuss future research directions. \nSpeaker Bio: Dr. Sina Nordhoff is a leading expert in the field of human factors and user acceptance of new and emerging transportation technologies. She holds a Ph.D. from Delft University of Technology and is affiliated with the University of California\, Davis. Dr. Nordhoff specializes in electric vehicles and automated vehicles (AVs)\, focusing on how to responsibly integrate these innovations into society. Her research spans theoretical models\, empirical studies\, and real-world applications\, involving over 220 interviews and 40\,000 analyzed surveys. She has developed innovative frameworks to understand human acceptance\, trust\, and safety\, addressing critical issues such as misuse\, trust miscalibration\, and cyber-physical attacks. Dr. Nordhoff’s research is published in top-tier journals and has garnered significant attention from policymakers and industry leaders. Her work aims to inform the design\, deployment\, and regulation of these technologies to ensure they are safe\, equitable\, and socially beneficial. Dr. Nordhoff’s current research agenda includes pioneering efforts in interdisciplinary theory development\, safety assessment\, and understanding cognitive measurements. Her overarching goal is to bridge the gap between technological advancements and societal well-being\, creating a future where transportation benefits all members of society.
URL:https://events.ucsc.edu/event/human-acceptance-of-autonomous-systems/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251030T134000
DTEND;TZID=America/Los_Angeles:20251030T150000
DTSTAMP:20260501T120307
CREATED:20251024T204207Z
LAST-MODIFIED:20251105T192322Z
UID:10005006-1761831600-1761836400@events.ucsc.edu
SUMMARY:Applied Microeconomics and Trade Seminar Series presents: Shanjun Li
DESCRIPTION:Applied Microeconomics and Trade Seminar\nDate: Thursday\, October 30th\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Shanjun Li\nPersonal Webpage \nTitle: Steven and Roberta Denning Professor of Global Sustainability \nAffiliation: Stanford University \nHost: Peter Christensen \n \nSeminar title: Range Anxiety\n \nABSTRACT:   Range anxiety\, the fear of depleting battery before reaching a charging station\, is often cited as a major barrier to electric vehicle (EV) adoption\, yet there has been limited formal economic analysis to quantify its importance and understand the policy implications. We develop a continuous-time dynamic model of EV usage and charging decisions to quantify range anxiety as the utility loss from feasible yet unrealized trips due to perceived range constraints. Using high-frequency data of 188\,000 EV trips and 30\,000 charging events among 8\,000 EVs in Shanghai\, we recover model parameters governing consumer driving and charging decisions. The estimates imply that\, across EV models with varying driving ranges\, average range anxiety was about $1\,900 in 2021 but declined to $1\,200 in 2024\, driven by improvements in charging infrastructure and\, especially\, in creases in driving range. Policy simulations underscore the importance of coordinating investments in battery capacity and charging infrastructure to address range anxiety: relative to socially optimal levels\, Shanghai’s EV market has under-invested in driving range while over-investing in charging infrastructure.
URL:https://events.ucsc.edu/event/applied-microeconomics-and-trade-seminar-series-presents-shanjun-li/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251029T133000
DTEND;TZID=America/Los_Angeles:20251029T143000
DTSTAMP:20260501T120307
CREATED:20251014T231013Z
LAST-MODIFIED:20251014T232602Z
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SUMMARY:In-person Info Session – Japan Research Fellowships (JSPS)
DESCRIPTION:Are you interested in funding for research\, collaboration\, and travel opportunities in Japan? Representatives from the Japan Society for the Promotion of Science (JSPS) will be on campus for an in-person info session: \n\n\nWhen:  Wednesday\, October 29\, 2025  |  1:30 p.m. – 2:30 p.m. \nWhere: Engineering Building 2\, Room 180 (E2-180) \nLight refreshments provided. \n  \nPlease RSVP here \nWho should attend? \nFaculty\, researchers/postdocs\, students in ALL disciplines. This information session is particularly relevant for: \n\nFaculty fellowships at junior\, mid\, and senior levels (short and long term)\nPostdocs (summer\, short\, and long-term fellowships)\nPre-PhD students (summer and short-term fellowships)\n\nLearn more about JSPS here. Questions? Email gsabo@ucsc.edu.
URL:https://events.ucsc.edu/event/in-person-info-session-japan-research-fellowships-jsps/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T134000
DTEND;TZID=America/Los_Angeles:20251028T150000
DTSTAMP:20260501T120307
CREATED:20251022T210813Z
LAST-MODIFIED:20251105T190553Z
UID:10004988-1761658800-1761663600@events.ucsc.edu
SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Zhiguo He
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, October 28\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Zhiguo He\nTitle: James Irvin Miller Professor of Finance\nAffiliation: Stanford University \nHost: Michael Leung \n \nSeminar title: Household Migration and Collateral Constraint: Cash-based Housing Resettlement in China\n \nABSTRACT:   Collateral constraints reduce household migration to expensive locations by restricting financing for home purchases. This endogenous location choice can amplify the impact of relaxing borrowing constraints. Using China’s cash-based shantytown renovation program (2015-2018) as a natural experiment\, we provide evidence that cash resettlement– by converting illiquid shanty houses into cash– facilitated household location upgrading and raised house prices in more expensive locations. A dynamic spatial model with collateral constraints confirms that endogenous location upgrading amplified the effect of cash transfer\, raising lifetime housing expenditures by nearly 50%\, and house price growth in low-tier cities by 9% in 2016-2020.
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-zhiguo-he/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/webp:https://events.ucsc.edu/wp-content/uploads/2025/10/Zhiguo-He.webp
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251028T110000
DTEND;TZID=America/Los_Angeles:20251028T121500
DTSTAMP:20260501T120307
CREATED:20251020T202827Z
LAST-MODIFIED:20251022T182819Z
UID:10004952-1761649200-1761653700@events.ucsc.edu
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://events.ucsc.edu/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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251027T104000
DTEND;TZID=America/Los_Angeles:20251027T114500
DTSTAMP:20260501T120307
CREATED:20251020T180828Z
LAST-MODIFIED:20251022T183100Z
UID:10004951-1761561600-1761565500@events.ucsc.edu
SUMMARY:ECE 290 Seminar: Performance Bounds and Bottlenecks for Neuromorphic ML Accelerators
DESCRIPTION:Presenter: Jason Yik\, PhD Candidate\, Harvard SEAS \nDescription: Recent research on neuromorphic accelerators has investigated their efficiency and performance benefits for machine learning (ML) inference at the edge. This talk will focus on the performance implications of the fully-on-chip\, manycore-distributed memory architecture used by current neuromorphic accelerators. In conventional architectures\, the roofline model is a well-known performance model for denoting performance bounds and bottlenecks. For neuromorphics\, we show that bounds create a different shape\, a floorline\, and we demonstrate how to optimize ML deployment using the floorline as a performance guide. \nBio: Jason Yik is a PhD candidate at Harvard SEAS\, with a research focus in neuromorphic computing architectures. His prior work includes designing benchmark frameworks and tools for neuromorphic research\, and modeling and optimizing neuromorphic system performance. Currently\, he is an intern with the ASIC architecture team at Cerebras Systems. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1 \nRoom: E2-192
URL:https://events.ucsc.edu/event/ece-290-seminar-performance-bounds-and-bottlenecks-for-neuromorphic-ml-accelerators/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251023T140000
DTEND;TZID=America/Los_Angeles:20251023T170000
DTSTAMP:20260501T120307
CREATED:20250709T070000Z
LAST-MODIFIED:20251002T220138Z
UID:10000066-1761228000-1761238800@events.ucsc.edu
SUMMARY:Wiki-a-thon Supporting BIPOC Scientists
DESCRIPTION:Join us for an afternoon of creating and editing pages for BIPOC scientists\, engineers\, and technologists! Wikipedia overwhelmingly recognizes the achievements of white people. This wiki-a-thon works to reverse this trend\, highlighting the often overlooked accomplishments of BIPOC leaders in science and technology\, and ensuring that the next generation can see role models who look like them. \nNO EXPERIENCE NECESSARY – RSVPs appreciated \nWe will provide a list of scientists who don’t yet have pages\, or you can come up with your own! The event will begin with a short training on how to edit Wikipedia\, followed by time to write your own article on a scientist\, engineer\, or technologist of your choice. \nWhen: Thursday\, October 23 from 2-5pm. Come for the whole time or just an hour or two! \nWhere: E2-506 and Zoom (RSVP for link) \nWho: All students\, faculty\, and staff are welcome to attend! \nSnacks and drinks will be provided! \nRead more about our inspiration.
URL:https://events.ucsc.edu/event/copy-of-wiki-a-thon-supporting-bipoc-scientists/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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END:VEVENT
END:VCALENDAR