معرفی
Moussa Tembely is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on Multiphase Flows, Computational Fluid Dynamics (CFD), Flow in Porous Media, Machine and Deep Learning, Thermal Spray, and Icing phenomena. He supervises graduate students in Mechanical Engineering (MASc and PhD programs). His work integrates advanced computational methods and AI-driven approaches to solve complex problems in fluid dynamics, reservoir engineering, and materials science.
Key research interests include predictive modeling of droplet dynamics, enhanced oil recovery (EOR) optimization using machine learning, and the analysis of porous media flow. He leads the Multiphase Thermofluids Learning Lab, which explores interdisciplinary solutions for energy and environmental challenges. Recent studies emphasize data-driven derivation of governing equations and analytical solutions for fluid-structure interactions.
Teaching responsibilities include courses such as HEAT TRANSFER I (MECH 352), DYNAMICS (ENGR 243), and FLUID MECHANICS II (MECH 361). His publications span over two decades, showcasing contributions to multiphase flow physics, thermal spray technology, and AI applications in geoscience and engineering.
