Welcome to my research portfolio! This site serves as a central hub for my work in neuromorphic computing and efficient AI systems.

Research Focus

My current research spans several interconnected areas:

Efficient AI Algorithms & Architectures: I’m developing neuromorphic optical flow methods that achieve 400% speedup over conventional approaches, with real-time processing capabilities (~1-2ms) for motion prediction, object segmentation, and tracking in dynamic environments like autonomous driving and robotics.

Bio-inspired Neuromorphic Systems: I’m implementing biologically-realistic perception mechanisms including high-order associative learning, differential sensory processing, and adaptive nociception for safe robotic grasping and navigation in unstructured environments with human-like capabilities.

Simulation & Modeling Resources for Emerging Memory: I’m creating general memristive transistor models (GEM) with 300% improvement in switching accuracy, real-time state modulation circuits, and comprehensive SPICE implementations for neuromorphic hardware design and validation across different device types and scales.

What You’ll Find Here

• Research: Detailed descriptions of my ongoing projects
• Publications: A list of papers and preprints
• News: Updates on research progress, talks, and other activities

Feel free to reach out if you’d like to discuss any of these topics!