Mr. Gaurav Rajendra Bokil | Artificial Neural Networks | Research Excellence Distinction Award

Mr. Gaurav Rajendra Bokil is a computational mechanics researcher specializing in physics-informed machine learning, fluid dynamics, and data-driven modeling. His research focuses on integrating neural networks with governing physical laws to develop efficient solvers for turbulent flows, heat transfer, and material behavior. He has contributed to the development of physics-guided convolutional neural networks, surrogate models for complex geometries, and hybrid constitutive models that significantly reduce computational cost while maintaining accuracy. His professional experience spans aerospace research, applied mathematics, industrial simulation, and materials modeling, with strong expertise in CFD, numerical methods, and multidisciplinary simulation, supported by peer-reviewed publications and international conference contributions.

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