معرفی
Jean Meunier is an Associate Professor in the Department of Computer Science and Operations Research (DIRO) at the Faculty of Arts and Sciences, University of Montreal. He maintains his office in Room 2387 of the André-Aisenstadt Pavilion and holds affiliations with multiple research networks including the Vision Health Research Network (VHRN/RRSV), Provincial Adaptation-Rehabilitation Research Network (REPAR), Quebec Network for Research on Aging (RQRV), and the Biomedical Engineering Institute (IGB).
Dr. Meunier completed postdoctoral training in 1989 in Cardiology and Biomedical Engineering at the Montreal Cardiology Institute. His research trajectory shows remarkable evolution from early cardiac imaging applications to current focus on elderly care technologies.
His primary research interests center on computer vision applications for healthcare, with particular expertise in gerontechnology, medical imaging analysis, and video surveillance systems. His work bridges computer science with clinical applications, focusing on 3D reconstruction techniques, activity recognition in home environments, gait analysis using depth cameras, and corneal imaging. Recent projects demonstrate increasing specialization in elderly mobility monitoring and fall prevention systems.
Dr. Meunier has secured substantial research funding from major Canadian agencies including the Natural Sciences and Engineering Research Council (NSERC/CRSNG) and Quebec Research Funds (FRQS, FRQNT, FRQSC), with current projects extending through 2027. His research program has evolved from cardiac imaging in the 1990s to contemporary focus on intelligent video surveillance for elderly care.
He has supervised an extensive number of graduate students since 1993, guiding over 40 Master's and doctoral candidates through completion of their theses. His supervision spans diverse but interconnected topics including corneal nerve segmentation, human action recognition using graph neural networks, mobility anomaly detection, gait pathology analysis, and fall detection systems. Current students continue this trajectory with research on deep learning applications for corneal nerve segmentation and skeleton-based action recognition.
Dr. Meunier's work is organized through multiple research networks rather than a single dedicated laboratory. His primary collaborative frameworks include the Vision Health Research Network, where he contributes to corneal imaging databases, and the Quebec Network for Research on Aging, where he develops technologies for aging in place. These networks provide the infrastructure for his interdisciplinary research connecting computer science with clinical applications.
