Dr, Shehroz Khan holds a PhD degree from the University of Waterloo, Canada in Computer Science with specialization in Machine Learning. His PhD research is one of the first works to formulate fall detection as an anomaly detection problem. Prior to joining academia, Dr. Khan worked for around 10 years in India and Ireland in various scientific and research roles in the government and corporate sectors. His research program is funded through NSERC, CIHR, AGEWELL, AMS, SSHRC, CABHI and UAE University. He has published 40 research papers in top international journals and conferences. He is the founder and organizer of the peer-reviewed International Workshop on Artificial Intelligence for ARIAL held in conjunction with top conferences in the field from 2017-19. He is an Associate Editor of the Journal of Rehabilitation and Assistive Technologies Engineering. He is a reviewer of more than 30 international journals and actively acts as a program committee member of major AI conferences, including Canadian AI, AAAI, IJCAI and ICMI. He has been a keynote speaker at the Technology Investment Conference, Bangkok, Thailand, 2019, 1st Shanghai International Geriatric Rehabilitation Forum, Shanghai, China, 2020 and International Conference on Gerontechnology, Hong Kong, 2020.

Dr. Khan’s main research focus is the development of machine learning and deep learning algorithms within the realms of Aging, Rehabilitation and Independent Assisted Living. He currently leads a study on detecting agitation and behaviours or risk in people with dementia using multi-modal sensors. He is also the leader of an AGE-WELL-funded study to use a real-time location system for individuals with dementia to asses their social engagement and agitation behaviours. He developed a cloud-based multimodal multi-sensing digital health platform (MAISON) to assess social isolation in people who have experienced lower limb fracture and frailty in older adults living in the community. Dr. Khan is leading a new research program on developing a virtual rehabilitation program to remotely assess patients' exercise quality and technique, and their engagement using a digital avatar.

Related Links

Dr. Khan's KITE profile

For a list of Dr. Khan's publications, please visit PubMed or Scopus.

Scientist, KITE (TRI)

Assistant Professor (status), Institute of Biomedical Engineering, University of Toronto