His research activities encompass artificial intelligence, computer vision, and medical imaging. He has developed algorithms for medical image filtering, segmentation, and search. As well, he has introduced the concept of "Opposition-based Learning". Dr. Tizhoosh has received more than $6.0 M in funding since 2001 for his research and commercialization activities through NSERC, OCE, FedDev, MITACS, MaRS, HTX, IRAP, ORF-RE and industry partners. He is the author of two books, 14 book chapters, more than 150 journal and conference papers, and multiple patents. He 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, Dr. Tizhoosh 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. The company raised more than $2M under his leadership, both as CEO and CTO. 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. Dr. Tizhoosh is a faculty affiliate to the Vector Institute, Toronto, where he leads a pathfinder project on using AI in radiology.