Gajanan Choudhary is a postdoctoral fellow in the Computational Hydraulics Group at the Oden Institute. He earned his Ph.D. and M.S.E. in engineering mechanics from the University of Texas at Austin, and B.Tech. in civil engineering from the Indian Institute of Technology (IIT) Kharagpur. He also holds a graduate portfolio in scientific computation and basic teaching certification from UT Austin. In the past, he worked at Indian Register of Shipping in its research division.
Choudhary's research interests include computational mechanics, numerical methods, coupled models, finite element analysis, scientific programming, parallel computing, machine learning, and heuristic and mathematical optimization techniques. He is experienced in utilizing Python for enabling non-intrusive modernization of legacy software and libraries written in Fortran and C/C++, which opens new research avenues such as multi-software coupling and physics-informed machine learning. He uses this expertise in coupling numerous computational fluid dynamics models in a high-performance computing setting, which include 2D/3D shallow water, 2D/3D transport, 2D/1D diffusive wave, 3D groundwater, and atmospheric models. His recent contributions include strong/monolithic coupling of 2D and 3D baroclinic shallow water models to enable computationally efficient 3D models with wetting-drying, and weak/partitioned two-way coupling of atmospheric, shallow water and diffusive wave models to simulate storm-surge and rain-induced compound flooding due to hurricanes.
Apart from authoring publications and participating in conferences, Choudhary has been an active contributor to the Adaptive Hydraulics (AdH) and ADvanced CIRCulation (ADCIRC) software suites. He is the creator of Water Coupler (WaCoup, pronounced 'wake-up'), a software for coupling hydrodynamic and hydrologic software in a high-performance computing setting to simulate complex phenomena such as compound floods.