Ashoke De Professor
Department of Aerospace Engineering
Department of Sustainable Energy Engineering
Indian Institute of Technology Kanpur

Ashoke De is currently a Professor in the Department of Aerospace Engineering and having joint appointment in the Department of Sustainable Energy Engineering at Indian Institute of Technology Kanpur. Dr. De received his PhD degree in Mechanical Engineering from Louisiana State University, USA in 2009. Before joining IIT Kanpur, he has worked as post-doctoral scholar at Technical University of Delft (TU-Delft), Netherlands and as Research Engineer in GE Global research at Bangalore, India. He is the recipient of DAAD Fellowship (2016), IEI-Young Engineer’s Award-2014 (Aerospace Engineering), Early Career Research award-2015 (DST, India), Expertise Award-2010 (GE Global research), and P K Kelkar Young Research Fellowship (2015-2018, IITK). He is AvHumboldt Fellow, Fellow of West Bengal Academy of Science and Technology, Associate Editor of International Journal of Energy for a Clean Environment (2019-present), and currently member of APS, AIAA (senior), ASME, SIAM, FMFP, ISHMT and Combustion Institute. Dr. De leads large scale initiatives in the modelling of turbulent flows at IIT Kanpur. His current research interests include multiphase modeling, hybrid RANS/LES model development, supersonic flows and Fluid-Structure interactions (FSI). He is actively pursuing research projects from various organizations like ISRO, ARDB, DST, DRDO, BRNS and Pratt & Whitney Canada.



New Immediate Opening for PhD students

FSI simulation for Energy Harvesting
FSI simulation of Flapping
Atomization and Spray modeling


Research Areas for PhD/Masters students

Hypersonic Intake Unstart
FSI for Energy Harvesting/Thermal Storage/Flapping
Wind turbine and Hydro kinetic turbine modeling for Energy Harvesting
Electrochemical system modeling
Noise Predictions
Turbulence modeling and Flow Control
Lean Premixed Combustion


Research Interest

High Speed Flows
Flow-Acoustics Coupling
Fluid-Structure Interaction
Energy Harvesting
Turbulence Modeling: DNS, LES, Hybrid RANS/LES
Combustion and Flame Dynamics
Spray modeling
Turbo-machinery Flows
Lattice Boltzmann Modeling
Flow Control
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