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.

    Abdulaziz, A. (ECE) – Learning-Based Channel Estimation for Next-Generation Wireless Communications

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

    Coherent wireless reception depends on accurate channel state information (CSI), yet acquiring CSI through pilot transmission consumes time–frequency resources that could otherwise carry data. This tradeoff becomes more pronounced in time-varying and frequency-selective channels and in short-packet communications, where accurate channel estimation is challenging and pilot overhead can be significant. This dissertation investigates how CSI […]

  • Abstract digital illustration featuring gears and interconnected technology elements.

    Valderrama, S. (CSE) – Closing Data Gaps for Cybersecurity AI Training and Evaluation

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

    Artificial intelligence and machine learning models depend on large and diverse datasets to learn patterns across different situations and generalize to cases they have not seen before. In cybersecurity, suitable data is difficult to find for two main reasons: first, sensitive information limits what organizations can share; second, public datasets often lack the coverage or […]

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

    Mirzanezhad, H. (EE) – Van der Waals materials-based memory devices for neuromorphic computing

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

    The separation of memory and processing in conventional computer architectures leads to significant energy consumption associated with data transfer, known as the von Neumann bottleneck. Two-dimensional (2D) materials provide a promising platform for developing nanoscale memory devices for in-memory and neuromorphic computing because of their atomic-scale thickness, lack of dangling bonds, and ability to form […]