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)