Javad Shafiee

Research Assistant Professor | Faculty of Engineering

Vision & Image Processing Research Group

Waterloo AI institute

Dr. Shafiee is an AI researcher; his research interest is mainly on machine learning models especially deep learning and graphical models with different applications in computer vision. He has extensive industrial research experience in leading many large-scale industrial and academic projects collaborating with companies like Microsoft and Intel. He has several best papers award on designing efficient, operational, and robust machine learning models.

Graduate Supervision: Dr. Shafiee supervises graduate students within MSc and PhD programs in SYDE dept. His students are exploring various theoretical aspects of machine learning models including how to build an efficient model and how to improve the robustness of these models in real-world scenarios along with machine learning applications in computer vision and image processing.

Selected Publications:

• (Shafiee, et. al.), Deep neural network perception models and robust autonomous driving systems, IEEE Signal Processing Magazine, 2021.
• (Shafiee, et al.) Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates, CVPR, 2019.
• (Shafiee, et al.) Fast YOLO: A fast you only look once system for real-time embedded object detection in video, 2017