Assistant Professor at the School of Mechanical and Materials Engineering, Indian Institute of Technology Mandi. His work spans multiphase flows, granular and avalanche dynamics, CFD-DEM coupling, population balance modelling, high-performance computing, and physics-informed machine learning.
Dr. Gaurav Bhutani is an Assistant Professor at IIT Mandi with interdisciplinary expertise across computational fluid dynamics, particulate and multiphase systems, avalanche and granular flow modelling, and scientific computing. He leads the Multiphase Flow Research Lab and develops computational frameworks that connect physics-based modelling, numerical methods, and modern machine learning.
Before joining IIT Mandi, he completed his PhD in Computational Fluid Dynamics at Imperial College London and worked there as a postdoctoral researcher on multivariate population balance equations for multiphase flows.
PhD in Computational Fluid Dynamics, Department of Earth Science and Engineering
B.Tech–M.Tech (Dual Degree), Mechanical Engineering
Class XII, CBSE Board
Core themes include computational modelling of multiphase and polydisperse systems, avalanche and granular flow physics, scientific machine learning, and scalable numerical methods for HPC environments.
Population balance modelling, CFD–DEM coupling and discrete element methods (DEM), flotation systems, bubble columns, non-Newtonian fluids, and fluidised-bed systems using finite element and finite volume methods.
Continuum-scale modelling of snow avalanches and granular flows, including depth-averaged formulations on idealised and real topographies, with applications to hazard-oriented computational studies.
MPI, OpenMP, CUDA, solver development, GPU computing for CFD, and emerging approaches using PINNs and graph neural networks for flow and granular systems.
Assistant Professor, School of Mechanical and Materials Engineering; heading the Multiphase Flow Research Lab.
Postdoctoral Research Associate working on multivariate population balance equations for multiphase flows.
PhD candidate in Computational Fluid Dynamics.
Senior Project Associate in Microfluidics.
Analyst developing predictive statistical models for the Canadian market.
Senior Business Analyst focused on insurance analytics and attrition modelling.
Graduate Mechanical Engineer working on capital projects including dense-phase conveying systems.
Representative journal and conference publications spanning avalanche modelling, multiphase flow simulation, adaptive-mesh methods, and scientific machine learning.
Selected recent conference papers and presentations.
Dr. Bhutani teaches across fluid mechanics, computational fluid dynamics, continuum mechanics, and scientific computing, with consistently strong student feedback and multiple teaching recognitions.
For research collaboration, student supervision, invited talks, or academic visits.