Biography
Himanshu Sharma is a Research Engineer at PNNL. He is currently working to develop and integrate advanced optimization and control methods for energy and power system applications. Earlier, he worked on developing a data-driven Perron-Frobenius operator-based framework for sensor placement for monitoring indoor air quality under uncertainty. His work is geared toward solving challenging problems of complex-physical systems such as energy & smart buildings by leveraging state of the art simulation and data-driven methods.
Previously, Himanshu was a Post-Doctoral Scholar at Argonne Leadership Computing Facility ( ALCF) Argonne National Laboratory, whereas a member of the data science team, he primarily worked on distributed training of Bayesian Neural Network on high performance computing cluster to analyze computational challenges and limitations for training uncertainty capturing Neural Networks. He carried his Ph.D. under the guidance of Dr. Baskar Ganapathysubramanian and Dr. Umesh Vaidya. His Master thesis was conducted under the guidance of Dr. Murali Damodaran at IIT-Gandhinagar.
Interests
- Machine Learning
- Dynamical Systems & Controls
- Numerical Optimization
- Computational Fluid Dynamics
- Uncertainty Quantification
- Building energy systems
Education
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Ph.D in Mechanical Engineering, 2019
Iowa State University
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M.Tech in Mechanical Engineering, 2014
Indian Institute of Technology, Gandhinagar
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B.E in Mechanical Engineering, 2012
Devi Ahilya Vishwavidyalaya
