Biosketch

Dr. Rajdip Nayek is an Assistant Professor in the Department of Applied Mechanics at the Indian Institute of Technology Delhi and is currently serving on faculty secondment at IIT Delhi - Abu Dhabi. He received his Ph.D. in Civil Engineering from the University of Waterloo, Canada, following an M.E. from the Indian Institute of Science, Bangalore, and a B. Tech. from the National Institute of Technology Durgapur. Prior to joining IIT Delhi, he was a Postdoctoral Research Associate with the Dynamics Research Group in Mechanical Engineering at the University of Sheffield, UK.

His research focuses on trustworthy physics AI and digital twins for engineering systems, with particular emphasis on data-physics fusion, uncertainty quantification, system identification, model-form error learning, and scientific machine learning. He develops probabilistic methods that combine physics-based models with sensor data to identify hidden states, unknown inputs, and modeling discrepancies, enabling reliable prediction and decision-making under uncertainty. His research spans structural health monitoring, infrastructure and marine systems, reliability and life prediction, and uncertainty-aware operator learning.