Research Highlights

Selected contributions spanning neuromorphic computing, AI hardware, adaptive deep brain stimulation, robotics, and underwater computer vision.

  1. IEEE Journal of Oceanic Engineering · 2026

    Ustyle: Waterbody style transfer of underwater scenes by depth-guided feature synthesis

    UStyle model architecture showing encoder-decoder backbone with high-frequency residual skip connections, progressive training strategy, HFR block detail, and CLIP-based loss.
    UStyle model architecture
  2. IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025

    Single-Step Latent Diffusion for Underwater Image Restoration

    Animated underwater image restoration results showing underwater input, clear output, backscatter, and transmission across scenes.
    Single-step latent diffusion underwater restoration results
  3. IEEE Robotics and Automation Letters · 2025

    AquaFuse: Waterbody Fusion for Physics-Guided View Synthesis of Underwater Scenes

    Animated AquaFuse results comparing original underwater reconstructions with aquafused waterbody styles across point clouds and dense scene renderings.
    AquaFuse waterbody fusion results across underwater scenes
  4. Recent Advances in Neuromorphic Computing · IntechOpen, 2024

    Exploring Associative Learning of Audio and Color Stimuli with Neuromorphic Robots in a T-Maze

    Full neuromorphic robot movement responding to green wall then red wall in a T-maze.
    Full robot movement under green wall, then red wall
  5. ACM ICONS 2024 · Arlington, Virginia, USA

    Mimicking Associative Learning of Rats via a Neuromorphic Robot in Open Field Maze using Spatial Cell Models

    Animated demonstration of associative learning with a neuromorphic robot in an open field maze using spatial cell models.
    Associative learning with a neuromorphic robot in an open field maze
  6. Frontiers in Computational Neuroscience · 2023

    Monitoring Time Domain Characteristics of Parkinson’s Disease Using the Memristive Neuromorphic System

    Workflow diagram showing algorithmic and hardware performance evaluation for Parkinson’s disease monitoring with a memristive neuromorphic system.
    Algorithmic and hardware evaluation workflow for the memristive neuromorphic PD monitor

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