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  • Abstract digital illustration featuring gears and interconnected technology elements.

    Devarajan, K. (ECE) – Towards Multimodal Detection of Neuronal Signaling using Graphene Heterostructures

    Understanding neuronal function requires measurements that capture both the rapid dynamics and spatial organization of neural activity. Conventional neural interfaces often prioritize either high temporal resolution through electrophysiological recording or high spatial resolution through optical imaging, while integrating these modalities within a single interface remains challenging. This work seeks to develop a transparent, flexible, and […]

  • Abstract digital illustration featuring gears and interconnected technology elements.

    Chen, Y. (STAT) – Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies

    Virtual Event

    Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges, such as high dimensionality, excess zeros, large heterogeneity across samples, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance, microbial interactions, clusters of microbes similarly associated with environmental […]

  • 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 […]