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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/
CATEGORIES:Conference,Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260828T090000
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SUMMARY:Saleem\, O. (ECE) - Coupled Evacuation Readiness and Post-Disaster Restoration for Vehicle-to-Grid Enabled Resilient Power–Transportation Networks
DESCRIPTION:The accelerating adoption of zero-emission vehicles (ZEVs) in California is reshaping both the transportation and electrical grids at the moment as climate-driven disasters are intensifying in frequency and severity. This dual transition exposes a critical structural gap: existing resilience research treats pre-disaster evacuation readiness and post-disaster grid restoration as separate problems\, even though both are governed by the same underlying resource\, i.e.\, electric vehicle batteries. On the other hand\, same underlying constraint\, a damaged\, congested transportation network. This dissertation develops an integrated framework that spans the full disaster lifecycle\, coupling evacuation-phase EV readiness assessment with restoration-phase vehicle-to-grid (V2G) coordination. \nThe work begins by establishing a quantitative ZEV Evacuation Readiness Score (ZEV Score) that assess community preparedness across exposure of the region to various natural disasters based on historical data\, vulnerabilities of the available infrastructure and the adaptive capacity of the infrastructure under stress. This work was afterwards extended to 44-indicator resilience framework across 6 domains i.e. community engagement\, charging infrastructure\, mobile and backup power\, transportation routing\, exposure\, equity\, and community engagement. Building on this foundation\, the dissertation introduces a novel restoration architecture that couples vehicle-routing-problem-based crew dispatch with game-theoretic V2G aggregation through a physics-consistent islanding-duration variable — the first framework to close the loop between road/grid repair scheduling and battery energy management. Validated on the IEEE RTS-79 network with Tesla Model 3 battery dynamics\, this coupling eliminates the “battery dead-zone” failure mode entirely\, reducing cumulative unsupported outage time from 54.3 to 0 hours under worst-case coordination scenarios\, while cutting total load shed by up to 18% beyond standalone repair coordination. \nTogether\, these contributions reframe EV fleets not merely as evacuation liabilities to be planned around\, but as a coordinated\, timeline-aware energy resource spanning both the flight from disaster and the recovery that follows. The dissertation’s proposed aims extend this integration towards stochastic damage scenarios\, heterogeneous mobile energy resources\, and a unified pre- to post-disaster co-optimization pipeline. Which offer both a technical bridge between restoration engineering and evacuation planning\, and a policy-relevant tool for California communities navigating a fully electrified\, climate-exposed future. \nEvent Host: Osman Saleem\, Ph.D. Student\, Electrical & Computer Engineering \nAdvisor: Keith Corzine & Leila Parsa  \nZoom: https://ucsc.zoom.us/j/96031345847?pwd=bjLMYhuyPyIMt7deiEKWRh35I7vjUW.1 \nPasscode: 544944
URL:https://events.ucsc.edu/event/saleem-o-ece-coupled-evacuation-readiness-and-post-disaster-restoration-for-vehicle-to-grid-enabled-resilient-power-transportation-networks/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260828T100000
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SUMMARY:Nag\, S. (BMEB) - Personalized Diploid Genome Graphs for Accurate Somatic Variant Discovery
DESCRIPTION:Many somatic variant-calling pipelines begin by aligning tumor and matched-normal sequencing reads to a single linear reference genome\, such as GRCh38. Because every individual differs substantially from this reference\, this approach can introduce reference bias\, causing reads to map incorrectly or not at all and potentially leading to missed somatic variants or germline variants being misclassified as somatic. I propose replacing the generic reference with a personalized diploid genome graph constructed from a donor-specific assembly (DSA)\, which represents both inherited haplotypes of the individual. I will develop this framework by (1) generating haplotype-resolved\, telomere-to-telomere DSAs for cancer reference cell lines\, (2) developing haplotype-aware graph alignment and adapting DeepSomatic to call variants against personalized diploid genomes\, and (3) applying this approach across tissues from SMaHT donors to improve somatic mosaicism detection and characterize shared and tissue-specific mutations. \nEvent Host: Sagorika Nag\, Ph.D. Student\, Biomolecular Engineering & Bioinformatics  \nAdvisor: Benedict Paten \nZoom: https://ucsc.zoom.us/j/99844148597?pwd=amp5Nhmj2UeodTADUdaJwZsKtscRMG.1 \nPasscode: 685655
URL:https://events.ucsc.edu/event/nag-s-bmeb-personalized-diploid-genome-graphs-for-accurate-somatic-variant-discovery/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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