Projects
Adaptive Communication Interfaces
Leading the development of a real-time gesture recognition system for non-verbal communication at The University of Sydney, currently in IP development.
Active | 2025
A Dual Classifier-Regressor Architecture for Heart Sound Onset/Offset Detection
This project explored robust detection of heart sound onset and offset events by combining phonocardiogram (PCG) and electrocardiogram (ECG) signals using a joint classifier-regressor architecture.
Active | 2024
Generative Motion Modelling
PhD research developing generative architectures for high-fidelity 3D human motion reconstruction and optimising latent space representations for sparse sensor data inputs.
Active | 2024
Efficient and Robust Heart Rate Estimation Approach for Noisy Wearable PPG Sensors Using Ideal Representation Learning
A cardiac sensing research project that uses ideal representation learning to estimate heart rate robustly from noisy PPG signals while remaining efficient enough for mobile deployment.
Completed | 2023
Adaptive Compressive Sensing for Differentiable Microscopy
Final-year research project on adaptive online compressive sensing algorithms for differentiable microscopy, in collaboration with researchers at Harvard University and UC Berkeley.
Completed | 2022
Green-Machine: FPGA Management System
Intel InnovateFPGA design contest entry implementing CNN-based image classification on an Intel Cyclone V SoC FPGA for autonomous mini-greenhouse management; Gold Award (Asia-Pacific) and Global Silver Award.
Completed | 2021
Smart Breadboard: Remote Electronics Laboratory
A MOSFET-matrix smart breadboard that physically reconstructs circuits drawn in a remote UI, enabling electronics lab work during the pandemic; first place (Sri Lanka) at the IEEE PES remote-lab design competition.
Completed | 2020