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Expert profile — Profil d'expert

Portrait de p_poupart
Pascal Poupart
Champ d'expertise principal
Machine learning
Champ d'expertise secondaire
Natural Language Processing
Note biographique
Pascal Poupart is an Associate Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, Waterloo (Canada). He received the B.Sc. in Mathematics and Computer Science at McGill University, Montreal (Canada) in 1998, the M.Sc. in Computer Science at the University of British Columbia, Vancouver (Canada) in 2000 and the Ph.D. in Computer Science at the University of Toronto, Toronto (Canada) in 2005. His research focuses on the development of algorithms for reasoning under uncertainty and machine learning with application to Assistive Technologies and Natural Language Processing. He is most well known for his contributions to the development of approximate scalable algorithms for partially observable Markov decision processes (POMDPs) and their applications in real-world problems, including automated prompting for people with dementia for the task of handwashing and spoken dialog management. Other notable projects that his research team are currently working on include chatbots for automated personalized conversations, a smart walker to assist older people and a wearable sensor system to assess and monitor the symptoms of Alzheimer's disease.