Ph.D. Researcher · Electrical & Computer Engineering

Md Abu Bakr Siddique

Advancing neuromorphic computing, AI hardware, intelligent robotics, underwater computer vision at Michigan Technological University.

View Publications Get in Touch

Profile

Research Focus

Bridging brain-inspired hardware, perception, and autonomous systems—with an emphasis on energy-efficient intelligence for real-world environments.

  • Neuromorphic Computing

    Energy-efficient neuromorphic circuit design, spiking neural networks, brain-inspired computing, and neuroprosthetics.

  • Computer Vision

    Underwater imaging, physics-guided view synthesis, style transfer, and restoration for challenging aquatic scenes.

  • Robotics

    Ground robotics, underwater robotics, Robot Operating System (ROS), and neuromorphic control for autonomous navigation.

  • Machine Learning & Healthcare AI

    Deep learning, transfer learning, medical image processing, and AI applications in healthcare systems.

Featured Work

Research Highlights

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

  1. ACM ICONS 2026

    Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson’s Disease

    Circuit schematic of the neuromorphic silicon neuron controller for adaptive deep brain stimulation, showing integration, leak, threshold, spike generation, refractory period, and reset stages.
    SiLIF-DBS neuromorphic silicon neuron controller schematic

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

Connect

Get in Touch

Open to research collaboration, academic inquiry, and professional correspondence.

msiddiq5@mtu.edu

Houghton, Michigan, USA