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DTSTART;TZID=America/Los_Angeles:20260618T100000
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SUMMARY:Carrión\, H. (CSE) - Deep Learning Algorithms for Medical Image Representation Learning and Understanding
DESCRIPTION:AI-assisted clinical decisions in medicine\, and particularly in dermatology\, demand fine-grained understanding across diverse skin tones\, body sites\, and disease types\, yet expert-annotated datasets are scarce\, demographically imbalanced\, and almost devoid of rare presentations. This dissertation develops four deep learning systems for this low-label\, low-coverage regime. We introduce HealNet\, which learns wound healing stages from longitudinal photographs without any human labels\, reaching 90.6% downstream stage-classification accuracy on a small longitudinal cohort. The Fair\, Efficient\, and Diverse Diffusion (FEDD) model then leverages powerful diffusion-model embeddings to build a skin-tone-fair\, data-efficient classifier for skin lesions\, matching or exceeding state-of-the-art performance while using only 5-20% of available labels and contributing explicit skin-tone-stratified fairness evaluation of the work. Next\, Controllable Generation of Diverse Dermatological Imagery (cgDDI) re-tasks this diffusion model to controllably synthesize skin-tone-balanced dermatological imagery\, growing a small biopsy-confirmed dataset by over 400x and reaching state-of-the-art 90.9% accuracy and improved fairness in malignancy classification\, with a +13.9% cross-dataset gain on the Fitzpatrick17k benchmark. Finally\, we introduce D-Synth and DermDepth: a synthetic dermoscopic dataset with pixel-perfect 3D ground truth and a metric-scale foundation model that closes the loop into 3D dermatology\, correcting metric scale error from over 16x to under 1.1x on real dermoscopic data and enabling single-photograph measurement of lesion reconstruction: size\, area\, and volume without specialized hardware. All data\, code\, and models are released openly to support reproducibility and ongoing fairness research. \nEvent Host:  Héctor Carrión\, Ph.D. Candidate\, Computer Science & Engineering \nAdvisor: Narges Norouzi \nZoom: https://ucsc.zoom.us/j/96678782408?pwd=71f0ObEnUMNgkZ9NYnpbFLMlg1Pdm0.1 \nPasscode: 0FMVtz
URL:https://events.ucsc.edu/event/carrion-h-cse-deep-learning-algorithms-for-medical-image-representation-learning-and-understanding/
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260618T100000
DTEND;TZID=America/Los_Angeles:20260618T120000
DTSTAMP:20260617T222516
CREATED:20260609T193755Z
LAST-MODIFIED:20260609T193755Z
UID:10014912-1781776800-1781784000@events.ucsc.edu
SUMMARY:Wang\, Z. (CSE) - From Static Alignment to Adaptive Safety: Toward Reliable and Capable AI Systems
DESCRIPTION:Modern AI systems are rapidly moving beyond static text generation toward capable models and agents that reason\, use tools\, store memories\, and update persistent state\, yet safety methods still often assume a fixed model whose behavior can be controlled by output-level refusal. This leaves critical gaps in understanding why aligned models fail under adversarial pressure\, how to align reasoning models without suppressing their useful capabilities\, and how to preserve safety once capability and control are externalized into editable agent state. My research proposes a static-to-adaptive safety framework for building reliable and capable AI systems: studying the mechanisms that shape behavior inside models\, using reasoning capability as a substrate for safety alignment\, and governing persistent state as agents learn and adapt over time. We instantiate this agenda through two completed works and three proposed directions. AttnGCG studies adversarial failures in aligned language models\, showing how jailbreak attacks can manipulate model attention and expose limitations of output-level safety analysis. STAR-1 studies safety alignment for large reasoning models\, showing that policy-grounded reasoning data can improve safety while largely preserving general reasoning capability. Building on these foundations\, we further study when editable agent harnesses meaningfully affect future behavior\, how persistent state creates new safety risks\, and how adaptive agents can safely update state while preserving useful learning. Together\, my research aims to move beyond static alignment alone\, toward AI systems whose safety remains reliable as their capabilities expand through reasoning and adaptation. \nEvent Host: Zijun Wang\, Ph.D. Student\, Computer Science & Engineering \nAdvisor: Cihang Xie  \nZoom ID:  962 8317 0929 \nPasscode: 687715
URL:https://events.ucsc.edu/event/wang-z-cse-from-static-alignment-to-adaptive-safety-toward-reliable-and-capable-ai-systems/
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260622T180000
DTEND;TZID=America/Los_Angeles:20260622T190000
DTSTAMP:20260617T222516
CREATED:20260605T222138Z
LAST-MODIFIED:20260615T212230Z
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SUMMARY:Designing for Today's Digital World
DESCRIPTION:Design digital experiences people love to use.\nIn today’s rapidly evolving tech landscape\, organizations need professionals who can combine empathy\, usability\, and aesthetics to create interfaces that engage and delight users. Learn how UX and web design specialists use research‑driven methods\, prototyping tools\, and inclusive design principles to build seamless digital experiences across platforms. \nSpeaker\nJoin Nicole Sharratt\, chair of the UCSC Silicon Valley Extension User Experience & Web Design program\, for an inside look at how our courses equip you with the skills to lead user‑centered design projects—whether you’re shaping websites\, apps or digital products. \nCLAIM YOUR SEAT TODAY.
URL:https://events.ucsc.edu/event/designing-for-todays-digital-world/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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DTSTART;TZID=America/Los_Angeles:20260625T180000
DTEND;TZID=America/Los_Angeles:20260625T190000
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CREATED:20260526T224341Z
LAST-MODIFIED:20260526T224341Z
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SUMMARY:UC Santa Cruz Premed Cohorts and DIY Info Session
DESCRIPTION:Join the UC Santa Cruz Premed Postbacc Program for an informative\, live online session designed for students\, parents\, and anyone exploring pathways into medicine\, public health\, and other health professions. \nIn this discussion\, we’ll provide a comprehensive overview of premed and pre-health programs to help you understand your options and choose the path that best aligns with your goals. \nThis is a presentation and discussion with plenty of time to ask questions and connect directly with program staff. \nClaim your seat today. 
URL:https://events.ucsc.edu/event/uc-santa-cruz-premed-cohorts-and-diy-info-session/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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DTSTART;TZID=America/Los_Angeles:20260628T130000
DTEND;TZID=America/Los_Angeles:20260628T150000
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SUMMARY:Santa Cruz Pickwick Club presents: Bleak House
DESCRIPTION:Spontaneous human combustion! Evil lawyers! Detectives! Family intrigue! These all come together in Charles Dickens’s masterwork\, Bleak House. This year\, we will spend the year reading the 2026 Dickens Universe novel. Join Dickens enthusiasts and Pickwick Club members on Zoom for a series of discussions about this beloved book. \nRegister via Zoom \nReading Schedule:  \n\nOCT 26: Chapters 8-13\nNOV 23: Chapters 14-19\nDEC 28: No meeting\nJAN 25: Chapters 20-25\nFEB 22: Chpaters 26-32\nMAR 22: Chapters 33-38\nAPR 26: Chapters 39-46\nMAY 24: Chapters 47-53\nJUN 28: Chapters 54-67 (End)\n\nRecommended Edition: We recommend the Penguin Classics edition of the novel for its appendices and notes\, but other versions are fine. First-time readers should avoid the Introduction if they don’t want spoilers. Download the novel to read at Gutenburg.org or listen to it at LibriVox.org. \nThe Santa Cruz Pickwick (Book) Club\, a branch of the Dickens Fellowship\, is a community of local bookworms\, students\, and teachers who meet monthly to discuss a nineteenth-century novel. The Santa Cruz Public Libraries provide support for the reading group.
URL:https://events.ucsc.edu/event/santa-cruz-pickwick-club-presents-bleak-house-2/2026-06-28/
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260630T120000
DTEND;TZID=America/Los_Angeles:20260630T130000
DTSTAMP:20260617T222516
CREATED:20260421T230439Z
LAST-MODIFIED:20260421T230439Z
UID:10013963-1782820800-1782824400@events.ucsc.edu
SUMMARY:From Diploma to Dollars: Money Matters for New Alumni
DESCRIPTION:Life After Graduation Series \nHosted by UC Davis\, open to recent alumni and rising seniors of all UC campuses. \nJoin the Cal Aggie Alumni Association for another session in the Life After Graduation Series\, “From Diploma to Dollars: Money Matters for New Alumni\,” on Tuesday\, June 30 at 12:00 p.m. (Pacific Time). \nGraduation is behind you—now it’s time to take charge of your finances. From new careers and paychecks to bills and major financial decisions\, this transition can feel overwhelming. This session will help you build confidence navigating budgeting\, debt\, benefits\, and financial priorities. Walk away with practical tools and smart habits to support long-term stability and success. \nLEARN MORE & REGISTER \n 
URL:https://events.ucsc.edu/event/from-diploma-to-dollars-money-matters-for-new-alumni/
CATEGORIES:Lectures & Presentations
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