Alexander Wong

Professor | Systems Design Engineering, Faculty of Engineering

Director | Vision and Image Processing Research Group

Canada Research Chair

Dr. Alexander Wong in a Canada Research Chair with a focus on operational artificial intelligence, particular in the areas of scalable machine learning, explainable machine learning, and responsible artificial intelligence.  Dr. Wong has worked with numerous companies across industries to bring artificial intelligence from theory to practical reality.  He has published over 600 refereed journal and conference papers, as well as patents, has given over 80 invited talks, and recognized with over 30 research and industrial awards and over 300 media coverage around the world. 

Dr. Wong supervises graduate students within masters and doctoral programs in Systems Design Engineering and Computer Science.  His students are involved in a wide range of artificial intelligence research projects, including many large-scale industrial collaborations in enabling artificial intelligence in different fields and verticals.

Selected Publications:

• Wong A., Famouri, M., and Shafiee, M. (2021). AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. EMC2.
• Wong. A. et al. (2021). Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays. Sci. Rep.
• Wang, L., Lin, Z., and Wong. A. (2020). COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. Sci. Rep.