Gaurav Bhutani

About

I am an Assistant Professor in the School of Mechanical and Materials Engineering at the Indian Institute of Technology (IIT) Mandi, India. I received my B.Tech.–M.Tech. (Dual Degree) in Mechanical Engineering from the Indian Institute of Technology Kanpur and my Ph.D. from Imperial College London. My research focuses on computational mechanics, multiphase flows, computational fluid dynamics, granular and geophysical flows, avalanches, and mineral processing. I develop mathematical and computational models to investigate complex physical phenomena, with recent interests extending to scientific machine learning and physics-informed methods for engineering applications. My work combines fundamental modelling with high-performance computing to address problems in natural hazards, energy, and process engineering, and is carried out in collaboration with researchers and industry partners in India and internationally.

Employment

• Indian Institute of Technology Mandi Assistant Professor
  2017 - Present

Education

• Imperial College London PhD
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Computational modeling of river-blocking snow avalanches: a case study in the Indian Himalayas
  Natural Hazards 2026 DOI: 10.1007/s11069-026-08106-9
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• Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics
  2026 DOI: 10.2139/ssrn.7181901
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• An adaptive-mesh multiphase finite element framework for non-Newtonian snow avalanche modelling
  Computers & Fluids 2026 DOI: 10.1016/j.compfluid.2026.107285
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• Computational Modeling of Snow Avalanche Dynamics: A Case Study of Teling Nala near Atal Tunnel
  Lecture Notes in Mechanical Engineering 2025 DOI: 10.1007/978-981-97-6783-0_36
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• A New Code for Discrete Element Modelling of the Collapse of Granular Columns—Model Validation
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-6970-6_7
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• Computational Modelling of a Two-Phase Inverse Bubble Column
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-6970-6_61
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• Energy Harvesting Through a Low-Cost Device Using Reverse Electrowetting on Dielectric (REWOD)
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-3410-0_1
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• A NIRS Based Device for Identification of Acute Ischemic Stroke by Using a Novel Organic Dye in the Human Blood Serum
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-3-030-98886-9_4
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• An open-source computational framework for the solution of the bivariate population balance equation
  Computers and Chemical Engineering 2022 DOI: 10.1016/j.compchemeng.2022.107780
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• LES modelling of multiphase turbulent flows in bubble columns using an adaptive-mesh finite element method
  Chemical Engineering Research and Design 2022 DOI: 10.1016/j.cherd.2022.02.008
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