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  • Wang, H. (CSE) – Accelerating RTL Simulation with Specialized Graph Partitioners

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Register transfer level (RTL) simulation is an invaluable tool for developing, debugging, verifying, and validating hardware designs. However, the performance of RTL simulation has long been a limiting factor in industry. Despite the inherent parallelism of hardware, current RTL simulators have not achieved practical performance gains due to fundamental challenges in communication, synchronization, memory bandwidth, […]

  • Teng, Z. (CM) – Visualizing Player Processes: Towards Design Guidelines for Interactive Process Visualization Tools in Game Analytics

    Virtual Event

    Game analysts face a significant challenge in understanding problem-solving and decision-making processes from the vast and complex sequential data generated by modern video games. Existing visualization tools often fail to adequately support the exploration, suffering from issues of visual clutter, inflexible cohort construction, and a lack of interactive depth. To address this gap, this dissertation […]

  • Ticknor, B. (STAT) – Clustering and Tractable Multivariate Inference for Extremes

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

    Modeling environmental extremes often involves large collections of spatial or temporal records where both clustering similar series and modeling dependence among extremes are challenging tasks. This Ph.D. proposal addresses several related problems in extreme value analysis. In particular, we study how to cluster many time series based on their extremal behavior using strategies defined via […]

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    2026 Right Livelihood International Conference

    Hybrid Event

    The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy, collective intelligence, and just futures. Bringing together Right Livelihood Laureates, students, faculty, and community partners […]

  • Castello, J. (CSE) – Space Mission Simulation From the Outside In

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

    Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources, and the model’s […]

  • Pawl, E. (STAT) – Flexible and Scalable Mixtures of Experts for Oceanographic Flow Cytometry Data

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

    Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations, researchers typically cluster […]

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

    Zheng, Z. (STATS) – Semi-Supervised Statistical Learning for Oceanographic Data

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

    Oceanographic data, generated by modern technologies that measure biological systems across time, space, and cell populations, are often rich, high-dimensional, and highly heterogeneous. Such data provide valuable opportunities to study subcellular organization, cellular heterogeneity, and dynamic biological processes in marine environments. However, because marine plankton systems remain relatively understudied and less well characterized than many […]

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

    Wang, Q. (STAT) – Modern Statistical Methods for Modeling Spatial and Temporal Processes

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Modern scientific studies increasingly rely on complex datasets exhibiting spatial and temporal dependence, particularly in social, environmental, and climate applications. This dissertation develops statistical models and computational methods for analyzing […]