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Research Group:
Understanding physics and physical phenomena of complex mechanisms is critical to designing efficient and economical systems. Engineering challenges involved in such systems however are often complex and involve multi-physics coupling at multiple scales ranging in several orders (nano-, micro-, to meters) of magnitude. Latest advancement in computational and data-driven technologies (such as domain specific multi-physics tools, exascale computing, Machine Learning, Uncertainty Quantification, Scalable & Portable Libraries) and Supercomputing interfaces/infrastructures (such as HPC/GPU, MPI-X, Cloud computing, Kubernetes/Docker) promises novel ways to address intricate issues of complex systems. Latest and future computing technologies can in fact provide needed number-crunching resources to advanced Modeling & Simulations (M&&) researchers and developer for in-depth high-fidelity investigations of complex systems, resulting in better-faster-cheaper designs.
Our research group focuses on advanced modeling and simulations. We develop computational algorithms and supporting verification and validation techniques for thermo-fluid dynamics problems. Such problems are difficult to analyze and often involve multiphysics occurring at multiscale both in temporal and spatial representations & possess chaotic or highly non-linear physics. Computational investigation of such problems usually require advanced scalable and portable numerical techniques for massively parallel High Performance Computer (HPC) systems along with a collaborative team of interdisciplinary experts.
