Kinshuk Panda

Kinshuk Panda is a Researcher II in the Computational Sciences division at the National Renewable Energy Laboratory (NREL). His work focuses on applying computational methods to clean energy systems, particularly in grid operations, wind farm design, and water treatment technologies under uncertainty. He utilizes high-performance computing (HPC) systems, including NREL’s Eagle supercomputer, to develop scalable software solutions.

• Education:
  • Bachelor of Mechanical Engineering, Manipal Institute of Technology
  • PhD in Mechanical Engineering, Rensselaer Polytechnic Institute

Panda’s research spans uncertainty quantification, multi-fidelity optimization, and resilient grid operations. He contributes to projects like the Exascale Computing Project, enhancing modeling under extreme weather events, and develops tools for water treatment performance analysis using HPC.

His recent publications highlight advancements in co-simulation frameworks, emergency asset positioning, and parameter sweep analyses, emphasizing scalability and efficiency. Collaborations include work with the IEEE Power and Energy Society and SIAM, focusing on energy systems and computational methods.

Panda’s professional engagement includes memberships in IEEE and Society for Industrial and Applied Mathematics, supporting interdisciplinary approaches to energy and environmental challenges.