Rate My Professor Valentijn Pauwels

Professor Valentijn Pauwels is Professor in Water Engineering in the Department of Civil and Environmental Engineering within the Faculty of Engineering at Monash University. He currently serves as Director of Education and Education Leader (Assessment). Pauwels graduated as an Agricultural Engineer from Ghent University, Belgium, in 1994. He then obtained a Master of Science in Agricultural Engineering from Ghent University, a Master of Arts in Civil Engineering and Operations Research from Princeton University, and a Doctor of Philosophy in Civil Engineering and Operations Research from Princeton University in 1999, with a dissertation on modelling hydrologic processes at high latitudes. Following his PhD, he held a Postdoctoral Fellowship from the Belgian Foundation for Scientific Research at Ghent University. There, he advanced to Lecturer in 2005 and Senior Lecturer in 2010, where he developed projects focused on flood management and forecasting. In 2012, Pauwels joined Monash University as Associate Professor, later becoming full Professor. In 2013, he was awarded an Australian Research Council Future Fellowship.

Pauwels' research expertise encompasses water management, hydrology, optimization, system analysis, modeling of land-surface processes, hydrologic model development, data assimilation, model parameter estimation, hydraulic groundwater theory, and measurement of hydrologic variables across scales. He is proficient in land-atmosphere modeling, hydrological modeling, remote sensing, and scientific computing across various programming languages. A member of the American Geophysical Union and European Geosciences Union, he has led projects including improving flood forecast skill using remote sensing data, numerical simulation of damage mitigation for flash floods, assimilating remote sensing data into hydrogeological models, forecasting drought impacts with satellite data, and quantitative spatio-temporal flood risk modeling. Key publications include 'The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism' (Clark et al., 2017, Hydrology and Earth System Sciences), 'Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals' (Tian et al., 2017, Water Resources Research), 'Advantages of analytically computing the ground heat flux in land surface models' (Pauwels and Daly, 2016, Hydrology and Earth System Sciences), and 'Estimating Rainfall Intensity Using an Image-Based Convolutional Neural Network Inversion Technique for Potential Crowdsourcing Applications in Urban Areas' (Shalaby et al., 2024, Big Data and Cognitive Computing). His work has garnered over 8,000 citations on Google Scholar. Pauwels has secured grants such as from CSIRO for novel hydrologic forecasting methods and data assimilation projects. He accepts PhD students and contributes to UN Sustainable Development Goals including clean water, sustainable cities, and climate action.