Dr. Kumar’s research goal is to develop and integrate cutting-edge computational tools for complex engineering and science challenges by leveraging Exascale/High Performance Computing (HPC), machine learning and artificial intelligence, data analytics/bigdata concepts, Uncertainty Quantification (UQ), and leading-edge computational capabilities. His research group has focused on real-life and fundamental thermal-fluid applications coupled with crosscutting domains such as structure dynamics, solid mechanics, biomedical engineering, hypersonic. The group uses Computational Fluid Dynamics (CFD) and Fluid-Structure Interactions (FSI) with HPC algorithms on massively parallel supercomputers. Research activities include multiple interdisciplinary projects including developing flow conductance model porous core at pore level for CO2 sequestration, studying effects nanoparticles/coatings on thermal energy storage systems in Concentrating Solar Power (CSP) system, and FSI analysis Deep Venous Thrombosis (DVT), CFD-Discrete Element Modeling (CFD-DEM)/Multiphase Simulations, laser propagation characterization for Air Force Remote Sensing/Directed Energy applications, exascale computing, biomass gasification, long-term weather forecast, turbulence modeling, and FSI analysis of flexible membranes.