Dr. Abhishek Singh Bhadouria is a Mechanical Engineering researcher whose work focuses on predictive maintenance, reliability engineering, stochastic optimization, and intelligent asset management for railway systems. He obtained his PhD in Mechanical Engineering from Birla Institute of Technology and Science (BITS) Pilani, India, under a joint research collaboration with Instituto Superior Técnico (IST), University of Lisbon, Portugal. His doctoral research developed data-driven methodologies for maintenance optimization of freight wagon wheelsets using survival analysis, reliability modelling, machine learning, and Markov decision processes. He has worked as a Junior Stage Researcher (R1) at IDMEC, Instituto Superior Técnico, contributing to the ATE, SMARTWAGONS, and MS-MRS-RAIL research projects funded through the Portuguese Recovery and Resilience Plan (PRR) and NextGenerationEU. His research has focused on developing stochastic decision support models for condition-based maintenance, estimating component degradation, analysing maintenance effectiveness, and integrating human reliability concepts into Industry 5.0 maintenance frameworks. Previously, he worked on the PMO-RAIL project, where he developed predictive maintenance strategies for freight railway wheelsets using statistical modelling, hazard rate analysis, and machine learning techniques. Before entering full-time research, he served as an Assistant Professor of Mechanical Engineering, teaching Operations Research, Engineering Mechanics, and Strength of Materials while supervising undergraduate research projects. His research interests include predictive maintenance, stochastic optimisation, survival analysis, reliability engineering, digital twins, machine learning, railway asset management, and sustainable infrastructure systems. His work aims to improve the safety, reliability, and lifecycle performance of transportation infrastructure through advanced analytical and data-driven methodologies. Dr Bhadouria has authored several peer-reviewed journal articles in leading journals, including the Proceedings of the Institution of Mechanical Engineers (Parts F and O) and the International Journal of System Assurance Engineering and Management. He also serves as a peer reviewer for international journals in railway engineering and reliability.