Harsh works primarily in the area of scientific visualization. He has been involved with various projects in different kinds of application areas, with an overarching goal of applying data analysis and visualization techniques to explore scientific data more effectively. Among others, he has worked on applying topological techniques to understand the behavior of lithium ion in various electrolytes in Li-ion batteries, robust and topologically-consistent representations for scalar and vector valued data for applications in combustion, aerodynamics, etc. Harsh is also involved in analysis and visualization of performance data for LLNL supercomputers.
Harsh is also interested in Mathematical Modeling & Simulation, Scientific Visualization, Probability Theory & Stochastic Processes, Markov Models & Queueing Theory, Computational Geometry, & Algorithms. His personal webpage and a complete list of his publications can be found here.