Hamid Tizhoosh is a Professor in the Faculty of Engineering at the University of Waterloo since 2001, where he leads the KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis). Before he joined the University of Waterloo, he was a research associate at the Knowledge and Intelligence Systems Laboratory at the University of Toronto, where he worked on AI methods such as reinforcement learning. His research activities encompass artificial intelligence, computer vision, and medical imaging. He has developed algorithms for medical image filtering, segmentation, and search, and he has introduced the concept of "Opposition-based Learning".

Hamid has more than three decades of industry experience and has worked with numerous companies such as Management of Intelligent Technologies GmbH (Aachen, Germany), Image Processing Systems Inc. (Photon Dynamics Inc. San Jose, CA), Semacode (Waterloo, ON), and Medipattern Corporation (Toronto). Additionally, Hamid has more than 10 years of experience in commercialization and start-ups. In 2007, he started Segasist Technologies, a start-up that developed image segmentation software for radiation oncology. He also planned and successfully managed an FDA 510k submission for computer-aided segmentation for prostate cancer with the help of Sunnybrook Hospital and the London Regional Cancer Centre. He is also a faculty affiliate to the Vector Institute, Toronto, where he leads a pathfinder project on using AI in radiology.