Rate My Professor Javad Mohammadpour

He has authored or co-authored numerous peer-reviewed publications, including “ANN and CFD-DPM modeling of alumina-water nanofluid heat transfer in a double synthetic jet microchannel” (2022), “A computational study on nanofluid impingement jets in thermal management of photovoltaic panel” (2022, cited by 56), “Computational analysis of air bubble-induced frictional drag reduction on ship hulls” (2024, cited by 11), “Predicting maximum pitting corrosion depth in buried transmission pipelines” (2024, cited by 37), “Recent advances in the simulation of solar photovoltaic cell cooling systems using nanofluids” (2023), “Modelling cryogenic hydrogen jet dispersion: CFD-POD-ML insights” (2024), “Machine learning regression-CFD models for the nanofluid heat transfer of a microchannel heat sink with double synthetic jets”, and “Optimisation of pin-fin heat sink design for CPV systems using machine learning-driven multi-objective approaches” (2025). His body of work has received over 1,501 citations on Google Scholar. Mohammadpour earned the Faculty Excellence Award 2022 for Excellence in HDR Student (Highly Commended) and was part of the team awarded Excellence in Learning Innovation 2023 for the Digital Reality Lab. He acts as a reviewer for the Journal of Heat Transfer and has delivered presentations, such as on a predictive model for hydrogen jet fire within tunnels.