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DTSTART;TZID=America/Los_Angeles:20250811T140000
DTEND;TZID=America/Los_Angeles:20250811T140000
DTSTAMP:20260408T185208
CREATED:20250806T070000Z
LAST-MODIFIED:20250925T231428Z
UID:10000095-1754920800-1754920800@events.ucsc.edu
SUMMARY:Montenegro\, C. (ECE) - Control of Uncertain Hybrid Systems
DESCRIPTION:Machine learning endows autonomous systems to uncover underlying structures and physical laws from measured data and to leverage these models for prediction and decision-making. As the costs of data acquisition\, processing\, and storage decline—and sensors become increasingly widespread alongside ever-improving algorithms—artificial intelligence has attracted significant attention in research and industry. \n Machine-learning methods are particularly attractive when an analytical model is too difficult—or even impossible—to derive because the underlying principles are poorly understood. As control engineering enters such domains—for example\, physical human-robot interaction and self-driving vehicles—data-driven models offer a practical alternative to classical system-identification techniques for model-based control. In addition\, we know that robotic or control systems seldom work in ideal conditions. Sensor noise\, incomplete state information\, and uncertain parameters are everyday realities\, and controllers must be robust—able to attenuate these disturbances—and be backed by formal guarantees of stability and safety. \n Coupling physical dynamics with embedded computation and communication introduces new challenges. Hardware elements such as analog-to-digital converters\, sample-and-hold circuits\, and quantizers\, together with events like timers\, resets\, and impacts\, yield an even more complex class of control systems in which designing controllers that remain robust to unmodeled dynamics and disturbances—and providing formal certificates of stability and safety—becomes harder. Cyber-physical systems that have continuous dynamics with event-driven behavior\, therefore\, require control strategies that explicitly account for these events and stay robust to adversarial uncertainties. \n Therefore\, the focus of this proposal is to design learning-based certificates and control techniques for hybrid systems with uncertainties in the form of unmodeled dynamics and unknown disturbances. We propose four research thrusts in this proposal. The first one addresses the problem of learning a surrogate model of the unmodeled using learning-based models that are both statistically sound and directly usable for feedback design. In the second thrust\, we develop a safety control framework for systems whose dynamics are learned with high probability using a set-valued and variational analysis. In our third thrust\, we consider the problem of learning certificates—in particular\, Lyapunov functions and cost upper-bound surrogates—for hybrid systems. Finally\, we tackle the optimal control problem for hybrid systems under unknown disturbances in our fourth thrust. \nEvent Host: Carlos Montenegro\, PhD Student\, Electrical & Computer Engineering \nAdvisor: Ricardo Sanfelice
URL:https://events.ucsc.edu/event/montenegro-c-ece-control-of-uncertain-hybrid-systems/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250811T183000
DTEND;TZID=America/Los_Angeles:20250811T183000
DTSTAMP:20260408T185208
CREATED:20250924T212216Z
LAST-MODIFIED:20250924T212216Z
UID:10000080-1754937000-1754937000@events.ucsc.edu
SUMMARY:August Slugs & Steins with Professor Nancy N. Chen
DESCRIPTION:Breathing in the Anthropocene: Reflections on Breath\, Air\, and Vitality \nThis presentation examines breathing in the present moment when humans vastly transform Earth ecosystems that impact health and well-being. Atmospheric transformations via worsened air highlight connections of breath with health. How might breath be shaped by cultural and individual experiences? Ethnographic research at the intersections of medical and environmental anthropology have renewed attention on energetic relations between bodies\, landscapes\, air\, and health\, especially the role of vital energy in qi\, prana\, or ha. In addition to these breath centered approaches\, we examine recent biomedical research on breath management across a broad range of complementary medicine and health interventions.
URL:https://events.ucsc.edu/event/august-slugs-steins-with-professor-nancy-n-chen/
LOCATION:CA
CATEGORIES:Lectures & Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T090000
DTEND;TZID=America/Los_Angeles:20250812T090000
DTSTAMP:20260408T185208
CREATED:20250806T070000Z
LAST-MODIFIED:20250925T231428Z
UID:10000093-1754989200-1754989200@events.ucsc.edu
SUMMARY:Ghosh\, S. (CMPM) - Scientific Sensemaking with Spatial Data in Collaborative Virtual Reality
DESCRIPTION:Collaborative virtual reality environments have the potential to greatly impact scientific progress\, especially those relating to existential human problems. Within these virtual environments\, scientists could view and interact with spatial data in applications as part of their sensemaking process\, however\, there are design challenges and barriers to development. This advancement document presents research questions related to the design of these technologies\, and a project schedule for completing the dissertation. In the first part\, Virtual Reality for Scientific Sensemaking\, I describe prior\, current\, and future work related to collaboratively designing interfaces with scientific domain experts across civil engineering and marine science. In the second part\, Taxonomy\, I describe current and future work to categorize and generalize XR input patterns for collaborative virtual environments\, as these works have been shown to fundamentally enable the design of many apps. In the final part\, Open Source Infrastructure Stability\, I describe my effort to support the ecosystem through the contribution of interoperable\, low-resource\, and extensible open source software. \nEvent Host: Samir Ghosh\, PhD Student\, Computational Media \nAdvisor: Katherine Isbister
URL:https://events.ucsc.edu/event/ghosh-s-cmpm-scientific-sensemaking-with-spatial-data-in-collaborative-virtual-reality/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T100000
DTEND;TZID=America/Los_Angeles:20250812T100000
DTSTAMP:20260408T185208
CREATED:20250811T070000Z
LAST-MODIFIED:20250925T231626Z
UID:10000098-1754992800-1754992800@events.ucsc.edu
SUMMARY:Mawhorter\, R. (CSE) - Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation
DESCRIPTION:Program verification has been applied in many contexts (including videogames)\, but the scale and complexity of the examples that have been analyzed fall short of the ability to analyze many existing games without massive computational costs. My research focuses on automatic analysis and design of one particular game: Super Metroid\, with the goal of creating general methods for efficient analysis that address these issues. In pursuit of this goal\, I develop novel abstraction strategies that can be reapplied in other contexts. I also show that these same techniques can also be used to synthesize games\, and I develop a paradigm for understanding procedural generation problems as verification problems. This paradigm enables generators to certify their output\, and these certificates act as a powerful debugging tool. My research expands on existing techniques for applying symbolic search to large state spaces\, exploring many different ways of optimizing the state space representation\, and reporting on their relative effectiveness in real-world contexts. I also demonstrate how multiple layers of abstraction can be used to enhance existing search algorithms. Using these methods\, I show how verifying properties of software with respect to the humans that interact with it can be practically achieved. \nEvent Host: Ross Mawhorter\, PhD Candidate\, Computer Science & Engineering \nAdvsior: Adam Smith
URL:https://events.ucsc.edu/event/mawhorter-r-cse-certified-synthesis-for-interactive-media-high-assurance-metroidvania-generation/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T120000
DTEND;TZID=America/Los_Angeles:20250812T120000
DTSTAMP:20260408T185208
CREATED:20250717T070000Z
LAST-MODIFIED:20250925T231318Z
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SUMMARY:What the Mouth Remembers: Lost Recipe\, Found Words
DESCRIPTION:What the Mouth Remembers is a research-creation project that explores how spoken language\, especially when fragmented\, mistranslated\, and passed down across migration\, family histories\, and colonial ruptures\, becomes a site of embodied memory\, survival\, and imaginative reconstruction. At the heart of the project is the Jeju language\, not as a fixed object of preservation but as a way of understanding and relating that vibrantly moves through sound\, memory\, and gesture. \nJoin us from noon to 3 p.m. daily during the exhibition\, Jeju Seaweed Soup (Mom-guk) will be available for visitors to taste. Participants can choose either the classic pork-based version or a vegetarian alternative\, both of which include rice\, kimchi\, and seaweed (in this case\, from Monterey Bay Seaweeds)\, prepared using Yoon’s mom’s traditional Jeju recipe for mom-guk. \nYoonkyung Lim is a visual artist and Ph.D. student in Film and Digital Media at the University of California\, Santa Cruz. Yoon’s art is participatory. The environment she creates around a theme allows an open space for interaction\, discussion\, and shared responsibility. Visitors are not merely viewers\, they become co-creators. Her recent work investigates feminist oral histories\, alternative archives\, and diasporic modes of translation. She has exhibited at the Gangwon International Triennale (2024)\, MMCA Seoul and Gwacheon and the Coreana Museum of Art. Lim holds a BFA from Korea National University of Arts\, an MFA from UCLA\, and completed the Whitney ISP.  Artist website: www.yoonkyunglim.com
URL:https://events.ucsc.edu/event/what-the-mouth-remembers-lost-recipe-found-words-6767/
LOCATION:Eloise Pickard Smith Gallery\, 11 Cowell Service Rd\, Santa Cruz\, CA\, 95064
CATEGORIES:Exhibits
GEO:36.996399;-122.0527221
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Eloise Pickard Smith Gallery 11 Cowell Service Rd Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=11 Cowell Service Rd:geo:-122.0527221,36.996399
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T120000
DTEND;TZID=America/Los_Angeles:20250812T120000
DTSTAMP:20260408T185208
CREATED:20250808T070000Z
LAST-MODIFIED:20250925T231429Z
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SUMMARY:BME Special Seminar: La protein and the RNA Polymerase III transcriptome
DESCRIPTION:Presenter: Richard J Maraia\, MD\, Senior Investigator and Head of the Section on Molecular and Cell Biology in the Intramural Research Program\, NICHD \nDescription: The La protein is a eukaryote-ubiquitous RNA-binding protein that (in the organisms examined) stabilizes newly synthesized RNA polymerase (Pol) III transcripts by transiently protecting their 3’-ends prior to maturation as abundant stable noncoding (nc)RNAs. While Bacteria and archaea use a single RNA polymerase to produce their cellular RNAs\, Pol III is specialized to synthesize short RNAs in large amounts\, e.g.\, tRNAs at >10-fold molar levels relative to ribosomal RNA synthesized by Pol I. tRNA genes are the most numerous of Pol III-transcribed genes\, followed by 5S rRNA and a few single-to-low copy noncoding (nc)RNA genes. The numbers of tRNA genes have been expansive and dynamic in eukaryotes\, presumably facilitated by their “internal split promoter” (A-box and B-box) which roughly correspond to the most conserved regions of tRNAs\, the D and T loops. The Pol III-specific transcription factor\, TFIIIC binds to this promoter and directs transcription at the upstream initiation site\, i.e.\, even if the tRNA sequence is inserted at a different locus. Transcription termination by Pol III is by a unique mechanism\, directed by its second largest subunit\, RPC2 which together with help of another Pol III-specific subunit reads the ≥4 consecutive Ts on the nontemplate strand as a pause signal that results in release the RNA. The first part of the talk will be on a paper under revision\, A POLR3B-variant reveals a RNA Polymerase III transcriptome response dependent on the SSB/La protein. In this study\, we performed extensive molecular characterization on a patient case that we found in the NIH Undiagnosed Disease Program (UDP) with homozygous SNPs in RPC2 and gained new insight as per the title. The second part of the talk will be related to a paper published in July 2025 that reflects diversity of tRNA genes. More specifically\, we discovered a tRNA gene with apparent latent noncanonical activity to activate cellular interferon signaling\, in addition to its mRNA decoding activity\, and characterized its features and those of a minority subset of other human tRNA genes that exhibit this activity from those in a majority that don’t. \nBio: Richard J. Maraia focuses on RNA polymerase III\, Genetics\, RNA\, Small nuclear RNA and RNA polymerase II. The study incorporates disciplines such as Inverted repeat\, Genomic organization\, Termination factor\, Molecular biology and Heterochromatin in addition to RNA polymerase III. His Molecular biology research incorporates elements of Apoptosis\, Mdm2\, Cancer research and Small interfering RNA. \nHis studies in RNA integrate themes in fields like Transcription and Protein biosynthesis. The concepts of his Small nuclear RNA study are interwoven with issues in RNase P and RNA recognition motif. Richard J. Maraia has included themes like General transcription factor and DNA polymerase in his RNA polymerase II study. \nHe is the ongoing chair of the NIH RNA club and serves on the organizing committees of the international biennial conferences on RNA polymerases I & III and the biennial conferences on La and related protein (LARP). He served on the Earl Stadtman Investigator Search committees for Molecular Biology and Biochemistry as chair and for RNA Biology at the NIH. He had speciality training in pediatrics and interinstitute medical genetics at the NIH. \n\nHosted by: Professor Todd Lowe\, BME Department
URL:https://events.ucsc.edu/event/bme-special-seminar-la-protein-and-the-rna-polymerase-iii-transcriptome/
LOCATION:CA
CATEGORIES:Lectures & Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250812T173000
DTEND;TZID=America/Los_Angeles:20250812T173000
DTSTAMP:20260408T185208
CREATED:20250724T070000Z
LAST-MODIFIED:20250925T231319Z
UID:10000081-1755019800-1755019800@events.ucsc.edu
SUMMARY:Effective Multigenerational Communication
DESCRIPTION:Join the Silicon Valley NHRA and learning partner Steps for an interactive session using drama-based learning to improve communication across generations in the workplace. Through scenario-based activities\, you'll explore real-world challenges and uncover how different generations approach work\, communication\, and leadership. Learn how this approach supports HR and talent strategies by equipping teams with the tools to build stronger connections and a greater sense of belonging. Discover how generational differences can become a strength—not a barrier—to organizational success. \nThis event is sponsored by the UCSC Silicon Valley Extension Human Resource Management Certificate Program.
URL:https://events.ucsc.edu/event/effective-multigenerational-communication/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
GEO:37.3796975;-121.9765484
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250813T100000
DTEND;TZID=America/Los_Angeles:20250813T100000
DTSTAMP:20260408T185208
CREATED:20250805T070000Z
LAST-MODIFIED:20250925T231428Z
UID:10000089-1755079200-1755079200@events.ucsc.edu
SUMMARY:Interested in a paralegal career?
DESCRIPTION:You are invited to join a free\, online informational session to learn more about the Center for Legal Studies Paralegal Certificate Course©\, a professional education program taught through the UCSC Silicon Valley Extension Paralegal Studies program. \nTopics \n\n\nCareer growth and earning potential \n\n\nAn overview of how CLS works with accredited college and university partners \n\n\nCourse pricing and payment options \n\n\nCourse materials and textbooks \n\n\nInstructor and peer/student interactions \n\n\nHow the online course works \n\n\n\nQ&A: There will be 15 minutes dedicated to Q&A\, so please bring any questions you might have.  \nRegister to receive the event recording \nIf you are unable to attend the webinar at this date and time\, please still register and the BARBRI team will send out the recorded webinar for you to view. \nThis event is co-sponsored by the UCSC Silicon Valley Professional Education Legal Studies program.
URL:https://events.ucsc.edu/event/interested-in-a-paralegal-career-8312/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250813T100000
DTEND;TZID=America/Los_Angeles:20250813T100000
DTSTAMP:20260408T185208
CREATED:20250806T070000Z
LAST-MODIFIED:20250925T231625Z
UID:10000092-1755079200-1755079200@events.ucsc.edu
SUMMARY:Asefi\, N. (ECE) - Generative Lagrangian Data Assimilation for Ocean Dynamics under Extreme Sparsity
DESCRIPTION:Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse\, irregular\, and Lagrangian nature of spatial sampling\, particularly in subsurface and remote regions. This sparsity poses significant challenges for forecasting key phenomena such as eddy shedding and rogue waves. Traditional data assimilation methods and deep learning models often struggle to recover mesoscale turbulence under such constraints. We leverage a deep learning framework that combines neural operators with denoising diffusion probabilistic models (DDPMs) to reconstruct high-resolution ocean states from extremely sparse Lagrangian observations. By conditioning the generative model on neural operator outputs\, the framework accurately captures small-scale\, high-wavenumber dynamics even at $99%$ sparsity (for synthetic data) and $99.9%$ sparsity (for real satellite observations). We validate our method on benchmark systems\, synthetic float observations\, and real satellite data\, demonstrating robust performance under severe spatial sampling limitations as compared to other deep learning baselines. \nEvent Host: Niloofar Asefi\, PhD Student\, Electrical & Computer Engineering \nAdvisor: Ashesh Chattopadhyay
URL:https://events.ucsc.edu/event/asefi-n-ece-generative-lagrangian-data-assimilation-for-ocean-dynamics-under-extreme-sparsity/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
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:20250813T120000
DTEND;TZID=America/Los_Angeles:20250813T120000
DTSTAMP:20260408T185208
CREATED:20250924T212032Z
LAST-MODIFIED:20250924T212032Z
UID:10000047-1755086400-1755086400@events.ucsc.edu
SUMMARY:Lunch & Learn: Onboarding Graduate Students for Research
DESCRIPTION:Join colleagues from the Office of Research Compliance Administration and Baskin Engineering on August 13\, 12-1 p.m.\, for a practical overview of onboarding graduate students in their role as researchers. This session will cover key institutional requirements needed before students begin research activities. Speakers will highlight common pitfalls\, share best practices\, and offer strategies to set students up for success.
URL:https://events.ucsc.edu/event/lunch-learn-onboarding-graduate-students-for-research/
LOCATION:CA
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250815T110000
DTEND;TZID=America/Los_Angeles:20250815T110000
DTSTAMP:20260408T185208
CREATED:20240913T070000Z
LAST-MODIFIED:20250925T231309Z
UID:10000003-1755255600-1755255600@events.ucsc.edu
SUMMARY:Return to the Redwoods
DESCRIPTION:Return to the Redwoods is your chance to reconnect with friends\, family\, and fellow alumni while exploring the beauty of campus. Enjoy a variety of activities for all ages\, including a lively kick-off party\, Stars & S’mores\, guided hikes\, hands-on workshops\, and plenty of opportunities for fun and relaxation. \nYou definitely don’t want to miss out!
URL:https://events.ucsc.edu/event/return-to-the-redwoods-5670/
LOCATION:Porter College\, D-Building\, Santa Cruz\, CA\, 95064
GEO:36.9923139;-122.0581762
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250816T090000
DTEND;TZID=America/Los_Angeles:20250816T090000
DTSTAMP:20260408T185208
CREATED:20250610T070000Z
LAST-MODIFIED:20250925T231618Z
UID:10000035-1755334800-1755334800@events.ucsc.edu
SUMMARY:AI Workshop: Spiking Neural Networks
DESCRIPTION:Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications. \nLearning Outcomes \nAt the conclusion of the workshop\, you should be able to \n\nDescribe and discuss the fundamental principles of Spiking Neural Networks (SNNs)\, including spike-based data representation\, key neuron models (e.g.\, Leaky Integrate-and-Fire)\, synaptic operations\, the current state-of-the-art in neuromorphic hardware\, and the realistic short-term and long-term potential of SNNs in the broader AI landscape.\nExplain the differences between Spiking Neural Networks (SNNs) and traditional Artificial Neural Networks (ANNs)\, articulating the motivational factors for SNN adoption such as energy efficiency and event-driven computation.\nDemonstrate an ability to properly and effectively implement simple SNN applications (e.g.\, the XOR problem and a more complex use case) using tools like Nengo\, understanding how information is encoded and processed through spike trains\, and applying different training approaches for SNNs while contrasting them with traditional backpropagation and evaluating the challenges and opportunities in SNN learning.\n\nTopics Include \n\nIntroduction to Spiking Neural Networks: What are SNNs? Visualizing spike-based computation.\nWhy SNNs Matter: Motivations (energy efficiency\, neuromorphic hardware)\, real-world applications (robotics\, IoT)\, and a realistic look at when they are most beneficial.\nCore Concepts of SNNs: Spike-based representation (events\, timing\, frequency)\, simplified neuron models (LIF)\, synaptic function\, and encoding strategies (rate vs. temporal).\nHands-On with SNNs (Nengo Demo): Interactive exploration of spike generation\, parameter tuning\, and visualizing network behavior.\nProblem Solving with SNNs:\nThe XOR problem: Understanding challenges with discrete logic.\nApplying SNNs to continuous\, real-world analog-like problems.\nTraining Spiking Neural Networks: Exploring alternatives to backpropagation (e.g.\, evolutionary computation\, PSO) and understanding the associated challenges.\nThe Neuromorphic Landscape: Introduction to key neuromorphic hardware (e.g.\, Intel Loihi\, BrainChip Akida)\, their architectures\, and real-world case studies.\nCurrent Limitations and Future Outlook: Discussing speed vs. efficiency\, challenges in tooling and frameworks\, and the short-term and long-term vision for SNN adoption.\n\nStudents are required to bring laptops for class exercises. \nThis event is co-sponsored by the UCSC Silicon Valley Professional Education Artificial Intelligence program.
URL:https://events.ucsc.edu/event/ai-workshop-spiking-neural-networks/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
GEO:37.3796975;-121.9765484
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Silicon Valley Campus 3175 Bowers Avenue Santa Clara CA 95054 United States;X-APPLE-RADIUS=500;X-TITLE=3175 Bowers Avenue:geo:-121.9765484,37.3796975
END:VEVENT
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