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Georgios Mitsis is an Associate Professor and William Dawson Scholar at McGill University in the Department of Bioengineering. His research interests primarily involve modeling nonlinear time-varying systems and their applications in biological and physiological signal systems, with a particular focus on cerebral hemodynamics and autoregulation. He develops efficient algorithms for modeling nonlinear systems through machine learning techniques and Bayesian estimation. His work in cerebral hemodynamics aims to understand how the cerebrovascular bed maintains blood flow despite changes in perfusion pressure. Additionally, Dr. Mitsis investigates functional brain connectivity, utilizing multimodal neuroimaging data to study the time-varying characteristics of resting-state networks over various physiological conditions. In the area of computational oncology, he collaborates with the Tumor Virology Lab at the University of Cyprus to design optimal therapeutic protocols for cancer treatment, grounded in mathematical models of tumor growth in transgenic mouse models. His expertise encompasses neuroimaging, system identification, signal processing, and nonlinear systems.
Department: Department of Medicine. Program: Experimental Medicine.