Past Projects:

Multimodal-based Inferencing of Behavioral Constructs in Asynchronous Video-based Interviews: Portability, Efficacy, and Interpretability (Mitacs Accelerate Grant)

Quantum Extremal Inequalities with Applications (The Margaret Ellen & Kon Max Wong Quantum Technology Research Fund)

Computer Vision and Deep Learning for Moderating Visual Content (Mitacs Accelerate Grant)

Achieving the Performance Limit of Noncausal Lossy Compression with the Predictive Coding Architecture (Google Chrome University Research Program)

A Machine Learning Approach for Digitalization of Engineering Specifications and Documents (Mitacs Accelerate Grant)

LED Controller and Software for Real Time Seamless Video Walls (NSERC Engage Grant)

Deep-learning-based Image Style Transfer with Generative Adversarial Network (Mitacs Accelerate Grant)

Indirect Domain Shift for Single Image Dehazing (Mitacs Globalink Research Award)

E-Community Health and Toxicity (Mitacs Accelerate Grant)

Deep-learning-based Fine-grained Furniture Classification and Winning Strategy Recommendation (Mitas Accelerate Grant)

Jordan Shapes for Deep Learning (Mitacs Accelerate Grant)

Automated Deep Alpha Matting for Vehicle Images (NSERC Engage Grant)

A Rate-Constrained Video Descriptor Based on the Information Bottleneck Principle (NSERC Engage Grant)

Toward a Fundamental Theory of Gaussian Source-Channel Networks (NSERC Discovery Grant)

New Coding Techniques for Non-Volatile Memory (IBM Faculty Award)

A New Look at the Fundamental Limits of Multisource Multicast Communication (Early Researcher Award)

Network Data Compression: Fundamental Limits and Practical Schemes (NSERC Discovery Grant)