Ali Mohaghegh

Ali Mohaghegh is a PhD student at department of Aerospace Engineering at University of Kansas. He holds a Bachelor of Science in Aerospace Engineering from Middle East Technical University, Turkey. With 2 years of experience in the industry, Ali has worked for aerospace companies, where he has gained invaluable knowledge and expertise in Flight Sciences, Aircraft Performance, Propulsion and Aerodynamics. He is awarded with the second best proposed gas turbine engine design in the world to be used on Concorde aircraft in 2021 AIAA design competition. Ali joined Computational AeroPropulsion Laboratory (CAPL) research group on Feb 2023 to focus on the Reduced-Order Modeling (ROM) of complex fluid flows problems. He uses scientific machine learning approaches that blend data-driven learning with physics-based modeling to address these problems. With the proper approach, such as the correct selection of learning variables, the outcome model will predict the future dynamics of fluids with high accuracy at considerably lower computational costs than other modeling methods. In his free time, he plays volleyball and enjoys traveling.