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Dr. Anand Gaurav
Dr. Anand Gaurav is a researcher and engineer specializing in the intersection of advanced materials and data-driven modelling. His work focuses on understanding and predicting the complex, non-linear behaviour of fiber-reinforced composites using machine learning and physics-informed approaches. He is particularly interested in bridging microstructural insights with macroscopic performance to enable more reliable and efficient material design. With a strong emphasis on analytical rigor and practical relevance, his work aims to advance both scientific understanding and real-world engineering applications.
2017–2025 Ph.D
- Indian Institute of Technology Kanpur (Design)
2013–2017 B.Tech
- Indian Institute of Technology Kanpur (Chemical Engineering)
February 2015 – December 2019
- Ph.D. in Design and Manufacturing, Indian Institute of Technology (Indian School of Mines) Dhanbad
August 2012 – May 2014
- M.Tech. in Manufacturing Technology, Indian School of Mines Dhanbad
August 2007 – May 2011
- B.E. in Mechanical Engineering, VMKV Engineering College
- 09 SCI Publications (Cumulative Impact Factor: 48.4)
- 11 Scopus-Indexed Publications
- 11 International Conference Publications
- 03 Book Chapters
- Dr. Anand research focuses on developing data-driven frameworks to model and predict the mechanical behaviour of advanced composite materials, particularly fiber-reinforced polymers. By integrating machine learning, computer vision, and physics-informed approaches, his work captures the complex relationships between microstructure, processing conditions, and performance outcomes such as strength and fatigue life.
- A key objective of his research is to enhance prediction accuracy while improving interpretability, enabling more reliable material design and accelerating the transition from experimental dependence to computational intelligence in engineering.
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