Jesse Hoey is a professor in the David R. Cheriton School of Computer Science at the University of Waterloo, where he leads the Computational Health Informatics Laboratory (CHIL). He is a Faculty Affiliate at the Vector Institute, and an affiliate scientist at KITE/TRI, both in Toronto. Dr. Hoey holds a Ph.D degree (2004) in computer science from the University of British Columbia. He has published over one hundred peer reviewed scientific papers. He is Editor-in-Chief for the IEEE Transactions on Affective Computing and an Area Chair for the International Joint Conferences on Artificial Intelligence (IJCAI 2023).
He has published over fifteen peer reviewed scientific papers in highly visible journals, and over fifty conference and workshop publications. Professor Hoey works in artificial intelligence, affective computing, and health informatics. He is primarily interested in developing computational models of human interactions with machines, and in using these models to build artificially intelligent applications in healthcare. This research involves four main aspects. First, he works on decision theoretic planning, particularly on Markov decision processes (MDPs), and their partially observable counterparts, POMDPs. He is interested in learning these models from data, and on solving them, particularly for large state, action, and observation spaces. Second, he works on sensor-based recognition of human behaviour (including gesture, facial expression and gait/body posture) from dynamic sensor streams (including video). He is interested in task-oriented sensor stream analysis (e.g. computer vision), in which the goal is to optimise over the action/policy space for an automated agent. Third, he works on computational models of social and emotional behaviours of humans. This work integrates sociology, social psychology, and affective computing. Lastly, he uses sensors, decision theoretic models, and computational social science, to build assistive systems for persons with physical and cognitive disabilities. In particular, he is interested in systems that help a person with dementia during activities of daily living (ADL) using cameras and other sensors to inform decision processes with multiple and competing objectives. He is particularly interested in detecting and responding to emotional states of persons with these assistive technologies.
Jesse's Computer Science profile