Rate My Professor Rakesh Mishra

Professor Rakesh Mishra is a Professor of Fluid Dynamics in the Department of Engineering and Technology within the School of Computing and Engineering at the University of Huddersfield. He joined the institution in 2000 as a Research Fellow and was promoted to Lecturer in September 2003, Senior Lecturer in 2004, Reader in 2009, and Professor of Fluid Dynamics in summer 2011. Prior to Huddersfield, he worked as Lecturer, Senior Lecturer, and Reader at Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India from 1988 to 2000, during which he was seconded to the Indian Institute of Technology, Delhi for his PhD studies completed in 1996. His teaching career began in 1987 as a Lecturer at the College of Engineering Pusad, India. A Chartered Engineer, Mishra is a Fellow of the Institution of Mechanical Engineers (IMechE) and Fellow of the Higher Education Academy (FHEA). He currently serves as Head of Research for the Department of Engineering and Technology and UoA12 Co-ordinator, Co-Director of the Centre for Thermofluids, Energy Systems and High-Performance Computing, and leads the Energy Emission and Environmental research group. He is a member of the Fluid Mechanics & Fluid Power Society of India and engages in consultancy for thermo-fluid industries, knowledge transfer partnerships, and collaborations on renewable energy, asset management, smart houses, and digital twins.

Mishra's research specializations include fluid dynamic modelling of additive manufacturing and slurry polishing processes, thermo-fluid systems such as radiators, heat exchangers, and piping systems, inverse design of flow handling energy systems, multiphase flows, digital twins of oil and gas systems, IC engines, vehicle aerodynamics, renewable energy devices including wind turbines and fuel cells, emissions analysis, net zero technologies, bio-fluid systems, and wind loads on buildings. His scholarly impact is demonstrated by a Google Scholar h-index of 33 with 3,723 citations. Key publications encompass 'Optimal design of hydraulic capsule pipelines transporting large solid objects' (2016), 'Autonomous structural health monitoring of composite wind turbine blades using guided waves and machine learning' (2026), 'Data-driven optimization of Darrieus wind turbine pairs under particle-laden atmospheric conditions using LES and machine learning' (2026), and 'Development of a deep learning-based framework for operational optimisation of municipal solid waste incinerators' (2026). He has delivered keynote lectures including 'A case study on the use of digital twins for systems' diagnostics' (2025) and received the Hind Rattan (Jewel of India) award in 2012 for significant contributions in his field.