Guy Dumont Email & Phone Number

Dr Guy Dumont is a Professor of Electrical and Computer Engineering at UBC where he is an Associate Member of the Department of Anesthesia, Pharmacology and Therapeutics as well as an Associate member of the School of Biomedical Engineering. Since 2003, he has been a Distinguished University Scholar, a Peter Wall Distinguished Scholar in Residence (2011-12) and a Peter Wall Scholar (2018-19). He is also a founding member of the newly created UBC-CNRS Maxwell-Berger Underground Research Laboratory located in Rustrel, France. A control and signal processing expert by training, he co‐founded and co‐directs with Mark Ansermino the Electrical and Computer Engineering in Medicine (ECEM) research group, now known as the Digital Health Innovations Lab (DHIL). For over 20 years, he has been collaborating with clinicians, health care researchers and life scientists in the area of physiological monitoring in the operating room, the intensive care unit, and more recently in mobile health and global health. Together with Mark Ansermino, he received the 2010 Brockhouse Canada Prize for Interdisciplinary Research in Science and Engineering. In 2016, he was awarded his third NSERC Synergy Award, this time for the development of the Phone Oximeter. Since 2000, he has been working on closed-loop control of total intravenous anesthesia, work that has resulted in the development of the NeuroSense depth-of-hypnosis monitor and the iControl system for automatic effect-guided administration of propofol and remifentanil. He is a Fellow of IEEE and IFAC and in 2017, he was elected Fellow of the Royal Society of Canada. In 2020 he was awarded the IEEE Control System Society Transition to Practice Award for world-leading research in adaptive control, process control and biomedical engineering and its transfer to practical use in industry and society.Specialties: biomedical engineering, biosignal processing, physiological monitoring, automated drug delivery, closed-loop control of anesthesia, epileptic seizure detection and prediction, multimodal brain monitoring, fetal monitoring, monitoring for circadian rhythms, mobile health, contactless vital sign monitoring, technology for global health, adaptive control and signal processing.

Listed skills include Biomedical Engineering, Signal Processing, Mathematical Modeling, Matlab, and 26 others.