• M.S. (2013) Aeronautical and Astronautical Engineering, The Ohio State University
• Ph.D. (2017) Aeronautical and Astronautical Engineering, The Ohio State University

Research Interests:

• Data driven modeling of Turbulence.
• Spatio-temporal Physics modeling with Machine Learning.
• Computational Fluid Dynamics.
• Applied Mathematics
• High Performance Computing.

Selected Recent Publications:

1. Mohan, A.T, and Gaitonde, Datta A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks, arXiv 1804.09269,(2018)
2. Mohan, A.T; Gaitonde, Datta and Visbal, Miguel Model reduction and analysis of deep dynamic stall on a plunging airfoil, Computers & Fluids 129,(2016)
3. King, R; Hennigh, O; Mohan, A.T; Chertkov, M From Deep to Physics-Informed Learning of Turbulence: Diagnostics, arXiv 1810.07785,(2018)