Research Interests: Environmental Fluid Mechanics, Geophysical Fluid Mechanics, Optical Diagnostics Technique such as Particle Image Velocimetry, Planar Laser Induced Fluorescence, Heat Transfer, Machine Learning for Fluid Mechanics
Professor Mirajkar is a researcher with a PhD in Mechanical Engineering, specialising in experimental fluid mechanics with a strong focus on multiphase flows, buoyant jets, and the dynamics of flexible bodies in viscous media. His expertise spans both Newtonian and non-Newtonian fluids, and he has experience integrating Particle Image Velocimetry (PIV), Planar Laser-Induced Fluorescence (PLIF), and image processing techniques to investigate complex flow phenomena. Professor Mirajkar has also worked on applying machine learning methods to physical systems, including plume prediction and shape evolution in sedimenting flexible structures. His research is driven by a curiosity to explore fundamental fluid dynamic behaviour and develop practical insights for environmental and industrial applications.
Professor Mirajkar's extensive research includes particle-laden plume in stratified ambient (both bulk phenomena and also small-scale analysis), design and development of pulse detonation engine, combustion instability in solid propellent, lifted minimum temperature in a laboratory condition, experimental study of fog analysis, free rising sphere in Newtonian and non-Newtonian fluids, sedimentation behaviour in solid object and flexible fibres.