• Affiliated Scientist, TECHNA Institute
  • Assistant Professor, Department of Medical Imaging with cross-appointment to the Department of Mechanical and Industrial Engineering, University of Toronto
  • Staff Scientist, Lunenfeld-Tanenbaum Research Institute, Sinai Health System

Farzad Khalvati, PhD

Farzad Khalvati is an Assistant Professor in the Department of Medical Imaging with cross-appointment to the Department of Mechanical and Industrial Engineering at the University of Toronto, and a Staff Scientist at Lunenfeld-Tanenbaum Research Institute at Sinai Health System. His research expertise and interests are multidisciplinary and include Artificial Intelligence (Transfer Learning, Attention Networks, CNN-based Survival Analysis, Multi-task Learning), Computer Vision, Discovery Radiomics, Computational Diffusion MRI, Decision Support Systems, High Performance Computing, and Human-AI Interface with wide applications in Medical Imaging and Precision Medicine. Dr. Khalvati is an active researcher in the field and he has produced more than 90 peer-reviewed publications (journal papers, patents, book chapters, conference full papers and abstracts).

Dr. Khalvati received his PhD in Electrical and Computer Engineering from University of Waterloo and before joining University of Toronto, he worked as an imaging and AI scientist in biomedical industry and then as a Research Associate at Sunnybrook Research Institute. Dr. Khalvati is a recipient of several awards from NSERC, OCE, and CIHR and his dissertation was selected and patented by the University of Waterloo Commercialization Office.