Ph.D. Presentations

Events

Events Search and Views Navigation

Event Views Navigation

Filters

Changing any of the form inputs will cause the list of events to refresh with the filtered results.

Today

  • Close-up abstract image of a circuit board with glowing lines and interconnected pathways.

    Tang, M. (STAT) – Bayesian Modeling and Scalable Inference for Count Time Series in Infectious Disease Surveillance

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Real-time monitoring of infectious disease outbreaks calls for statistical models that recover interpretable quantities such as the time-varying reproduction number from noisy count data, track posterior uncertainty, and run on time scales compatible with daily updates. Existing methods address these aims through separate model classes. Discretized Hawkes processes, Poisson autoregressions, and distributed lag models each […]

  • Close-up abstract image of a circuit board with glowing lines and interconnected pathways.

    Carrión, H. (CSE) – Deep Learning Algorithms for Medical Image Representation Learning and Understanding

    Virtual Event

    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 […]

  • Three silhouetted figures talking, overlaid with graphics of digital data, charts, and technology interfaces.

    Wang, Z. (CSE) – From Static Alignment to Adaptive Safety: Toward Reliable and Capable AI Systems

    Virtual Event

    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, […]

  • Abstract digital illustration featuring gears and interconnected technology elements.

    Burbano, L. (CS) – Security of autonomous decision-making agents: From control systems to embodied AI

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Due to their increasing complexity, autonomous decision-making agents rely on increasingly advanced algorithms, from classical control theory to reinforcement learning (RL) and, more recently, large vision-language models. While these algorithms help automate the decision-making in complex systems, they bring newer attack vulnerabilities that an adversary can exploit. In this dissertation, we study the security of […]

  • Three silhouetted figures talking, overlaid with graphics of digital data, charts, and technology interfaces.

    Levine, R. (CSE) – Validating GPU Memory Consistency and Safety at Scale

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Graphics Processing Units (GPUs) have become essential platforms for parallel computing, supporting applications far beyond graphics. Central to GPU programming models is its memory consistency specification (MCS), which defines the […]