Mehedi Hasan, is a young researcher in the field of aviation. He specializes in cutting-edge concepts like box-wing aircraft configurations and has gained valuable experience by collaborating with esteemed researchers from renowned universities.
Mehedi’s expertise includes Computational Fluid Dynamics (CFD), Aero-structural optimization, Machine Learning, and Finite Element Analysis (FEM). Currently, he is pursuing his doctoral study at the Beihang University, Beijing where he is involved in developing an optimization framework (MDO) incorporating Machine Learning algorithms. With a dedication to pushing the boundaries of aviation technology, Mehedi is poised to make significant contributions to the industry’s future.
Specialty : Computational Fluid Dynamics(CFD), Machine Learning, Box-Wing Configuration, Optimisation Algorithms, Fluid Structural Interaction (FSI)
Specialty
Computational Fluid Dynamics(CFD), Machine Learning, Box-Wing Configuration, Optimisation Algorithms, Fluid Structural Interaction (FSI)
Degrees
Masters: The Hong Kong University of Science and Technology PhD: Beijing University of Aeronautics and Astronautics (Beihang)
Meet the pros
Mehedi Hasan
Shahriar Sifat
Janine Khandoker
