Building Wearable Assistive Systems
PhD student in Biomedical Engineering, University of Toronto.
About
I'm an incoming PhD student in Biomedical Engineering at the University of Toronto this September, working in the Dr. Kei Masani Lab, with a focus on wearable assistive systems.
My Master's, under Dr. Steve Mann, focused on signal processing, embedded computing, and hardware acceleration, applied to EEG analysis and wearable sensing, aimed at making rehab technology more accessible. This included GPU-accelerated adaptive time–frequency methods and embedded EEG data acquisition systems.
Publications
- Toward a Stable and Deployable Adaptive Chirplet Transform: Residual Projection, Hybrid GPU Acceleration, and Multi-Channel Scalability
- Adaptive Chirplet Transform-Based Neural Network for Seizure State Detection
- GPU-Accelerated Chirplet Transform: Scalable Runtime Profiling and Analysis
- Portable EEG-Based Data Acquisition and Multi-Sensor Integration Using the Muse S Headband
- MoBorg: Mobility as Cyborg Prosthesis for “Being a Ball”
- Adaptive Chirplet Transform-Based Sleep State Detection
- Smart Rollator Walker for Enhanced Mobility
- XR Waterball for Spinal Rehabilitation
Projects
GPU-Accelerated Chirplet Transform
Developing a GPU-accelerated Chirplet Transform optimized for real-time signal processing and analysis.
Quantifying Biomechanical Movements
System to measure ankle and spine movements in 3D using IMU sensors, stereo vision, and human segmentation with YOLO.
Drone Development
Custom drone with a 3D-printed frame and embedded flight controller. Currently going through a redesign.