My research integrates Multiphysics simulation, advanced material characterisation and data-driven modelling for advanced manufacturing processes, including laser welding and additive manufacturing. I specialise in modelling complex transport phenomena, including heat transfer, fluid flow (CFD), phase change, mass transfer, and thermo-mechanical deformation, to enable the prediction of material behaviour and the optimisation of key process parameters, providing a foundation for intelligent manufacturing process control and improved efficiency. My work combines rigorous experimental validation using techniques such as SEM, EBSD, DIC, and XRD, with physics-informed simulations to predict microstructural evolution and mechanical response. More recently, I have incorporated AI and vision-based algorithms for defect detection and scenario generation, enabling the development of AR-enhanced, feedback-driven repair and rework systems for next-generation digital manufacturing
Best Presentation Award in the Materials Design and Processing for Advanced Technology Theme
Department of Metallurgical and Materials Engineering, NIT Rourkela
Best presentation in Contributory Talk 2 of the 5th International Conference on Processing and Characterization of Materials (ICPCM 2023)
Best Presentation Award in the Modelling and Simulation Theme
Department of Metallurgical and Materials Engineering, NIT Rourkela
Best Presentation Award in the Modelling and Simulation Theme at the 5th International Conference on Processing and Characterization of Materials
Post Doctoral Researcher
University of Warwick, Coventry, UK
01 Oct 2025 - present
Post Doctoral Researcher
Brunel University London, Uxbridge, UK
01 Nov 2024 - 01 Sep 2025
Post Doctoral Researcher
University of Warwick, Coventry, UK
01 Jul 2022 - 01 Oct 2024