Rate My Professor Prashanta Dutta

Dutta has made significant contributions through key publications such as “Machine Learning Assisted Inverse Heat Transfer Problem to Find Heat Flux in Ablative Materials” (Materials Today Communications, 2025), “Prediction of Peptide-TIM3 Binding Site to Inhibit TIM3-galectin 9 Binding Pathways” (ACS Journal of Chemical Theory and Computation, 2023), “Physics-Informed Deep Neural Network for Inverse Heat Transfer Problems in Materials” (Materials Today Communications, 2023), “LINES: Log-Probability Estimation via Invertible Neural Networks for Enhanced Sampling” (ACS Journal of Chemical Theory and Computation, 2022), and “Overcoming Blood Brain Barrier Transport: Advances in Nanoparticle-based Drug Delivery Strategies” (Materials Today, 2020). He has received numerous awards, including Fellow of the Royal Society of Chemistry (2025), Fellow of the American Society of Mechanical Engineers (2013), Fulbright US Scholar Award (2016-2017), Donald N. Zwiep Innovation in Education Award (2024), Washington State Academy of Sciences Member (2024), and WSU Office of Research Excellence Award (2024). Dutta has held editorial roles as Deputy Editor of Electrophoresis since 2018 and Associate Editor of ASME Journal of Fluids Engineering from 2012 to 2015. He has led major grants from NSF and NIH on topics including convergent robotics training, nanopore force spectroscopy, multiscale modeling of blood-brain barrier transport, and affordable desktop learning modules for engineering education.