Professor Adamowski is a tenured Associate Professor in the Department of Bioresource Engineering in the Faculty of Agricultural and Environmental Sciences at McGill University. He is also the Director of McGill's Integrated Water Resources Management Program, Associate Director of the Brace Centre for Water Resources Management, Associate Member of the McGill School of Environment, and Associate Member of the Trottier Institute for Sustainability in Engineering and Design (TISED) at McGill. Professor Adamowski is registered as a professional engineer (P.Eng.) in the province of Ontario, and currently serves on numerous international committees (e.g. International Commission on Water Resource Systems of the International Association of Hydrological Sciences), as well as on the Editorial Boards of numerous international journals (e.g. Journal of Sustainable Water Resources Management; Journal of Modeling Earth Systems and Environment; Proceedings of the Institution of Civil Engineers (ICE): Engineering Sustainability). His research and teaching interests are in the areas of statistical hydrology and water resources engineering and management, with a particular focus on modeling of environmental and water resources processes. Professor Adamowski has published over 140 research papers in refereed journals and 60 papers in refereed conference proceedings, as well as three books, several chapters in books, and several monographs. He has also given over 50 research talks at academic conferences (including over 10 Keynote Talks at conferences). Throughout the course of his research career, he has conducted research with his students in over 30 countries. Professor Adamowski is currently the supervisor of three Postdoctoral Fellows, ten PhD students, and four MSc thesis students at McGill. As part of his duties as the Director of McGill’s Master of Science in Integrated Water Resources Management Program, he supervises around 35 IWRM Master of Science students each year.

Hydrological forecasting (e.g., floods, drought, etc.). Use of artificial intelligence, wavelet transform and ensemble approaches Socio-hydrological modeling. Dynamic coupling of stakeholder built system dynamics models with physically based models Hydro-meteorological trend detection and estimation (e.g., streamflow, precipitation, etc.), and linking of dominant periodicities with climate indices (e.g. PDO, NAO, ENSO) New methods to improve hydrological data sets (e.g., stations with scattered missing values; short-gauged sites, or data series with large missing gaps; completely ungauged sites (no historical records))