Hamid Tizhoosh

Hamid Tizhoosh, Ph.D

Professor, University of Waterloo, Waterloo


Dr. Hamid R. Tizhoosh is a Professor in the Faculty of Engineering at 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 dynamic bandwidth allocation using 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. As well, he has introduced the "Opposition-based Learning". Dr. Tizhoosh has received support, worth more than $6.0 M, 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, and more than 140 journal and conference papers. He has also filed 5 patents in collaboration with WatCo (Waterloo Commercialization Office). Dr. Tizhoosh’s publications have received many citations. He has extensive industrial experience and has worked with numerous companies such as Management of Intelligent Technologies GmbH (Aachen, Germany), Image Processing Systems Inc. (a Markham-based company acquired by Photon Dynamics Inc. (San Jose, CA)), and Medipattern Corporation (Toronto). Presently, he is the AI Advisor of Huron Digital Pathology, St. Jacobs, ON, Canada. 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 detection for prostate cancer with the help of Sunnybrook Hospital and the London Regional Cancer Centre.

Funded Projects

Applying deep learning to bone marrow differential counts toward improved diagnosis of hematological neoplasms »

Research Specialties

Research Interests

  • Molecular Pathology

Contact for Collaboration

University of Waterloo
University of Waterloo
200 University Avenue West Waterloo, ON, N2L 3G1
Pathologists and Researchers who are interested in being part of the OMPRN: