Embedded & Biomedical Engineering — Neuroengineering, Wearables, Signal Processing
I am a Master's researcher in Electrical and Computer Engineering at the University of Toronto, working under Dr. Steve Mann. My research focuses on neuroengineering systems that integrate signal processing, embedded computing, and hardware acceleration, with applications in EEG analysis, wearable sensing, and rehabilitation technologies.
My current work includes GPU-accelerated adaptive time–frequency methods, embedded EEG data acquisition systems, and assistive robotics.
Designing and building a custom drone with a 3D-printed optimized frame and an embedded C++ flight controller featuring real-time sensor fusion and motor control. Public repository.
Thesis project focused on developing a GPU-accelerated Chirplet Transform optimized for real-time signal processing and analysis. View repository.
Developed a system to measure ankle and spine movements in 3D using IMU sensors, stereo vision, and human segmentation with YOLO. Public repository.