Amirfarhang Mehdizadeh is an Associate Professor in the Department of Mechanical Engineering at the University of Missouri–Kansas City (UMKC), School of Science and Engineering. He leads the Mehdizadeh Research Group, which focuses on fundamental and applied research in fluid dynamics, heat transfer, and computational modeling. Education: Dr.-Ing. in Mechanical Engineering, Darmstadt University of Technology, Germany, 2010 M.S. in Computational Mechanical and Process Engineering, Darmstadt University of Technology, Germany, 2007 B.S. in Mechanical Engineering, University of Tehran, Iran, 2002 His research interests include Advanced Turbulence Modeling, Turbulent Heat Transfer, Multi-Phase Flows, Turbulent Dispersed Flows, and Stochastic Systems . His group applies computational and theoretical methods to study high Reynolds number turbulent flows, deposition dynamics, and ERG signal modeling. A significant focus is on developing reliable, computationally efficient models for non-isothermal turbulent flows and machine learning–based approaches for medical signal analysis. The recent publications reflect a strong trend in turbulence modeling (especially hybrid RANS-LES and SAS), thermal field prediction in shear flows, nanofluid heat transfer, and interdisciplinary applications in medical CFD and microreactors . His work bridges mechanical, chemical, and biomedical engineering domains. Scientific Awards: American Chemical Society/Petroleum Research Fund New Directions Award (2020) ONR Summer Faculty Research Fellowship (2017) DFG Research Fellowship at Penn State (2013–2015) Marie Curie Research Award (2012) Dr. Mehdizadeh has advised several graduate students, including PhD candidates Rohit Saini and Mohan Kumar Gajendran , and has successfully mentored alumni such as Dr. Matthias Ziefuss (PhD, 2020) and Vincent Kent (MSc, 2021). He has secured competitive research grants, including from the ONR and ACS-PRF. His laboratory, the Mehdizadeh Research Group, operates at the intersection of theoretical fluid mechanics, high-performance computing, and applied machine learning.






