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DTSTART;TZID=America/Los_Angeles:20260817T010000
DTEND;TZID=America/Los_Angeles:20260911T005959
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SUMMARY:Graduate Preparation Program
DESCRIPTION:The Graduate Preparation Program (GPP) is a four-week intensive non-credit course offered in person on the main campus prior to the fall quarter\, which is open to all current and newly admitted international graduate students. It focuses on English for Academic Purposes (EAP)\, academic skills\, and cultural orientation. The program also provides a foundation for transitioning into the Teaching Assistant role. \nThe course offers guided support with: \n\nSeminar-style classroom discussion\nPresentation and oral communication skills\nInformation on U.S. classroom culture; roles and responsibilities of faculty\, Teaching Assistants\, and students\nCritical thinking: using evidence to support ideas\nResearch writing\, citation\, and avoiding plagiarism\nCollaborative and project-based learning\n\nA collaboration between the Graduate Division and Global Engagement\, the Graduate Preparation Program provides a strong foundation for the U.S. classroom environment and university system\, in addition to the opportunity to practice and master the language and academic skills needed for success. \nFor more information and to register\, please visit our webpage.
URL:https://events.ucsc.edu/event/graduate-preparation-program/
LOCATION:CA
CATEGORIES:Conference,Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260908T010000
DTEND;TZID=America/Los_Angeles:20260909T005959
DTSTAMP:20260901T223547Z
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SUMMARY:ReView
DESCRIPTION:Mary Porter Sesnon Art Gallery\nAugust 13-September 19\, 2026 \nOpening celebration and Artist Talk\nSaturday\, August 15\, 2-4:30 p.m\nLight refreshments will be served. \nSummer Gallery Hours: Thursday-Saturday\, 1-5pm \nReView: UC Santa Cruz Arts Alumni Exhibition features Arts Division alumni from the Monterey and San Francisco Bay Areas. Curated by Valéria Miranda\, the Sesnon’s Director\, ReView includes a wide variety of media and techniques highlighting the diversity of contemporary practice of alumni who graduated from 1972 to 2025. The exhibition title alludes to the portfolio critique process and suggests ideas of reflection and reevaluation—whether revisiting past work\, rethinking materials\, or tracing how a practice evolves over time. \nThis exhibition celebrates the creative path of artists who began their journeys at UC Santa Cruz. United by shared roots yet defined by distinct paths\, the participating alumni reflect the lasting influence of the Arts Division programs. Their works speak to the spirit of inquiry\, experimentation\, and perseverance that has long shaped the university’s artistic community. \nReView presents an opportunity for the campus and larger community to see the professional practice of these artists who continue to build on the creative foundation that they received at UCSC and to inspire our current students\, offering visualization of their own future artistic journeys after graduation. \nReView offers a unique opportunity for returning alumni to celebrate their creative expressions while reconnecting with classmates and the university community. \nAdmission is free and open to the public.  \nMore Information
URL:https://events.ucsc.edu/event/review-3/
LOCATION:Mary Porter Sesnon Art Gallery\, Baskin Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Exhibits
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DTSTART;TZID=America/Los_Angeles:20260909T010000
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SUMMARY:ReView
DESCRIPTION:Mary Porter Sesnon Art Gallery\nAugust 13-September 19\, 2026 \nOpening celebration and Artist Talk\nSaturday\, August 15\, 2-4:30 p.m\nLight refreshments will be served. \nSummer Gallery Hours: Thursday-Saturday\, 1-5pm \nReView: UC Santa Cruz Arts Alumni Exhibition features Arts Division alumni from the Monterey and San Francisco Bay Areas. Curated by Valéria Miranda\, the Sesnon’s Director\, ReView includes a wide variety of media and techniques highlighting the diversity of contemporary practice of alumni who graduated from 1972 to 2025. The exhibition title alludes to the portfolio critique process and suggests ideas of reflection and reevaluation—whether revisiting past work\, rethinking materials\, or tracing how a practice evolves over time. \nThis exhibition celebrates the creative path of artists who began their journeys at UC Santa Cruz. United by shared roots yet defined by distinct paths\, the participating alumni reflect the lasting influence of the Arts Division programs. Their works speak to the spirit of inquiry\, experimentation\, and perseverance that has long shaped the university’s artistic community. \nReView presents an opportunity for the campus and larger community to see the professional practice of these artists who continue to build on the creative foundation that they received at UCSC and to inspire our current students\, offering visualization of their own future artistic journeys after graduation. \nReView offers a unique opportunity for returning alumni to celebrate their creative expressions while reconnecting with classmates and the university community. \nAdmission is free and open to the public.  \nMore Information
URL:https://events.ucsc.edu/event/review-3/
LOCATION:Mary Porter Sesnon Art Gallery\, Baskin Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Exhibits
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260909T100000
DTEND;TZID=America/Los_Angeles:20260909T113000
DTSTAMP:20260904T210322Z
CREATED:20260904T210322Z
LAST-MODIFIED:20260904T210322Z
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SUMMARY:Devarajan\, K. (ECE) - Towards Multimodal Detection of Neuronal Signaling using Graphene Heterostructures
DESCRIPTION:Understanding neuronal function requires measurements that capture both the rapid dynamics and spatial organization of neural activity. Conventional neural interfaces often prioritize either high temporal resolution through electrophysiological recording or high spatial resolution through optical imaging\, while integrating these modalities within a single interface remains challenging. This work seeks to develop a transparent\, flexible\, and biocompatible neural interface that enables complementary electrical and optical measurements of neuronal activity. \nWe propose a graphene-based heterostructure neural interface that leverages the electrical\, optical\, and mechanical properties of graphene to enable electrophysiological sensing while maintaining optical access to the underlying neural system. The device incorporates a bowtie geometry that transitions from multilayer to single-layer graphene\, with the multilayer graphene regions serving as conductive leads and the single-layer graphene defining the primary sensing region. This architecture provides electrical connectivity while maximizing optical access in the region of interest\, establishing a platform for multimodal interrogation of neuronal activity. \nPreliminary measurements using simulated neuronal signals demonstrate detection of transient electrophysiological signals approximately 1 ms in duration and with amplitudes up to 100 μV\, establishing the feasibility of the device for resolving physiologically relevant neural signals. Building on these results\, the proposed work will extend the platform toward biological systems through interfacing with neuronal organoids and development of multichannel recording capabilities. Finally\, the established heterostructure architecture will provide a framework for investigating alternative two-dimensional sensing materials\, including MoS₂\, with the goal of understanding how material properties influence electrophysiological signal detection while preserving optical accessibility. \nUltimately\, this work aims to establish a scalable 2D-material-based neural interface that integrates electrophysiological sensing with optical access\, enabling multimodal characterization of neuronal activity across complementary spatial and temporal scales. \nEvent Host: Koushik Devarajan\, Ph.D. Student\, Electrical and Computer Engineering  \nAdvisor: Tal Sharf
URL:https://events.ucsc.edu/event/devarajan-k-ece-towards-multimodal-detection-of-neuronal-signaling-using-graphene-heterostructures/
LOCATION:CA
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260909T100000
DTEND;TZID=America/Los_Angeles:20260909T120000
DTSTAMP:20260819T162005Z
CREATED:20260819T162005Z
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SUMMARY:Chen\, Y. (STAT) - Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies
DESCRIPTION:Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges\, such as high dimensionality\, excess zeros\, large heterogeneity across samples\, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance\, microbial interactions\, clusters of microbes similarly associated with environmental factors\, or networks of conditional dependencies—is more challenging due to these complexities\, requiring careful statistical modeling. Motivated by longitudinal microbiome experiments and large-scale fungal community surveys\, we propose flexible Bayesian models in which these objects are represented through low-dimensional or sparse structures\, regularized by global–local shrinkage priors\, and reported with uncertainty propagated through posterior inference. We first develop a Bayesian dynamic latent factor model for multivariate longitudinal count data. A rounded multivariate log-normal kernel links the observed counts to latent Gaussian variables\, and treatment-specific temporal trends of microbial abundance are modeled through Bayesian penalized B-splines. To better capture temporal changes in the mean\, dependence among microbial features is modeled through a low-dimensional factor structure with a Dirichlet–horseshoe+ shrinkage prior on the loadings. In addition\, continuous-time Ornstein–Uhlenbeck processes are used for the latent factors to account for temporal dependence within a subject. We next develop a sparse Bayesian probit regression model for high-dimensional presence–absence data to infer clusters of microbes whose presence has similar associations with environmental covariates. Due to the large number of microbes and excess zeros\, we first estimate a high-dimensional regression coefficient matrix using sparsity-inducing priors\, and then cluster the microbes based on the coefficient estimates. By using the posterior distribution of the coefficients\, we provide point estimates along with uncertainty quantification. Lastly\, we develop a Bayesian model that infers a time-varying precision matrix for longitudinal microbiome count data. While a covariance matrix describes marginal dependence\, a precision matrix characterizes conditional dependence among microbial features\, defining a microbial association network. By allowing this precision structure to evolve over time\, we obtain inferences about dynamic microbial networks. \nEvent Host: Yongqi Chen\, Ph.D. Student\, Statistical Science \nAdvisor: Juhee Lee \nZoom: https://ucsc.zoom.us/j/99307567941?pwd=NRnSLblnMKXEgqDRXPdBIFaRS8ctsq.1 \nPasscode: 301374
URL:https://events.ucsc.edu/event/chen-y-stat-flexible-bayesian-models-for-high-dimensional-and-longitudinal-discrete-data-in-microbiome-studies/
LOCATION:
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260909T100000
DTEND;TZID=America/Los_Angeles:20260909T120000
DTSTAMP:20260904T164356Z
CREATED:20260904T164356Z
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SUMMARY:Abdulaziz\, A. (ECE) - Learning-Based Channel Estimation for Next-Generation Wireless Communications
DESCRIPTION:Coherent wireless reception depends on accurate channel state information\n(CSI)\, yet acquiring CSI through pilot transmission consumes\ntime–frequency resources that could otherwise carry data. This tradeoff\nbecomes more pronounced in time-varying and frequency-selective channels\nand in short-packet communications\, where accurate channel estimation is\nchallenging and pilot overhead can be significant. This dissertation\ninvestigates how CSI can be estimated\, exploited\, and refreshed more\nefficiently under limited pilot resources. \nFirst\, an adaptive deep neural network (ADNN) is developed for\nnon-stationary channels. When a received packet is accepted by the cyclic\nredundancy check (CRC)\, its detected data symbols are reused to obtain an\nimproved channel estimate for online retraining. This allows the\nestimator to respond to changes in channel statistics without requiring\nexternally supplied CSI labels or additional pilot transmissions. \nSecond\, an LSTM-based OFDM estimator is developed to jointly exploit\ntemporal and frequency-domain correlation. Pilot-based LS estimates and\nreceived samples at non-pilot subcarriers are processed over a temporal\nwindow using an encoder–decoder architecture. The estimator achieves\nlower MSE than conventional LS interpolation and frequency-domain LMMSE\nacross the evaluated pilot configurations\, and generalizes without\nretraining to an unseen channel profile. \nThird\, the LSTM model is extended to short-packet systems where the time\nbetween channel observations varies. The model accounts for the age of\npreviously acquired CSI\, allowing it to distinguish recent channel\ninformation from stale information as the channel evolves. The resulting\nage-aware model improves channel-estimation accuracy with only a small\nincrease in model size and inference cost. \nFinally\, the dissertation studies how pilot transmissions should be\nscheduled to minimize the long-term average age of information (AoI).\nThe problem is formulated as a constrained Markov decision process that\njointly accounts for AoI and the age of CSI (AoCSI). The resulting policy\ndetermines when to idle\, send a data-only update\, or transmit a\npilot-aided update under long-term pilot and transmission constraints. \nEvent Host: Alatawi Abdulaziz\, Ph.D. Candidate\, Electrical and Computer Engineering  \nAdvisor: Hamid Sadjadpour  \nCo-Advisor : Zouheir Rezki \nZoom: https://ucsc.zoom.us/j/98815064356?pwd=MfibjluajcETfqcpKYm9bp7ZIsJb8N.1 \nPasscode: 477141
URL:https://events.ucsc.edu/event/abdulaziz-a-ece-learning-based-channel-estimation-for-next-generation-wireless-communications/
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:20260909T120000
DTEND;TZID=America/Los_Angeles:20260909T130000
DTSTAMP:20260625T001419Z
CREATED:20260624T220357Z
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SUMMARY:Ensuring Your Professional Longevity
DESCRIPTION:There are many things that can derail our ability to advance in our careers while maintaining long-term sustainability and health.  Join us as we discuss the 4 key factors that will help us thrive and enjoy our professional lives for years to come.  Whether you’re an early-career professional or already deep into your career journey\, you’ll leave with practical strategies and inspiring ideas to chart your own individual path towards a healthy workplace lifestyle in the seasons ahead. \nREGISTRATION
URL:https://events.ucsc.edu/event/ensuring-your-professional-longevity/
LOCATION:CA
CATEGORIES:Workshop
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260909T120000
DTEND;TZID=America/Los_Angeles:20260909T130000
DTSTAMP:20260707T210040Z
CREATED:20260707T210040Z
LAST-MODIFIED:20260707T210040Z
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SUMMARY:Research Lunch & Learn: Effective award management
DESCRIPTION:Join the Research Financial Services and Extramural Funds Accounting leadership for a conversation about good internal controls and effective financial oversight of sponsored projects accounts. During this session\, we will discuss the tools and resources that are available to ensure that we are good stewards of the funds entrusted to us. We will review when prior approval may be required\, what rebudgeting means for our financial oversight\, and how these intersect with our financial system of record. \nJoin us on September 9\, 2026\, 12-1 p.m. \nJoin: Zoom link for this session.
URL:https://events.ucsc.edu/event/research-lunch-learn-effective-award-management/
LOCATION:https://events.ucsc.edu/event/research-lunch-learn-effective-award-management/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260909T143000
DTEND;TZID=America/Los_Angeles:20260909T160000
DTSTAMP:20260903T002928Z
CREATED:20260805T214938Z
LAST-MODIFIED:20260903T002928Z
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SUMMARY:Elimination of Duration of Status: Final Town Hall
DESCRIPTION:Changes to the “duration of status” for F and J visa holders are now in effect. Immigration rules are complex\, and Global Engagement wants to make sure you have accurate information. \nWe invite you to join us for a comprehensive update and a Q&A session for F and J visa-holding students and scholars. \nClick here to register for the Zoom link \nCan’t make it? This update and future guidance will be posted on the Global Engagement Immigration Updates and Guidance Webpage. We recommend bookmarking this page. \nQuestions? Please visit our advising webpage to schedule an appointment with an international advisor or email us at istudent@ucsc.edu or ischolar@ucsc.edu.
URL:https://events.ucsc.edu/event/elimination-of-duration-of-status-final-town-hall/
LOCATION:https://ucsc.zoom.us/j/7341288474?pwd=MHZYWlhPSjJrMkg0Y3o2MkhiUnh3QT09&omn=95994739817
CATEGORIES:Drop-In Support
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