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Principal Investigator
Dr. Rajdip Nayek
Rajdip is an Assistant Professor in the Applied Mechanics Department of IIT Delhi. Previously, he worked as a postdoctoral research associate at the Dynamics Research Group under the supervision of Dr. Keith Worden and Dr. Elizabeth Cross. His research interests lie in the applications of probabilistic machine learning algorithms for structural vibration, digital twins, structural health monitoring, and reduced-order modelling.
He completed his Ph.D. in October 2019 from the Civil and Environmental Engineering department at University of Waterloo, under the supervision of Dr. Sriram Narasimhan. Prior to that, he did M.E. at IISc, Bangalore, and B.Tech. from NIT, Durgapur. During his Masters, he worked with Dr. C S Manohar in the area of structural reliability.
Download his CV here.
Office Address:
Room B-24, Block IV,
IIT Delhi, Hauz Khas,
New Delhi, 110016
Email:
PhD students
Sahil Kashyap (Aug 2022-present)
Sahil is a PhD student (hailing from Sonipat) working with Dr. Rajdip Nayek on digital twin modeling (data-driven-plus-physics-based) approaches for the prediction of complex systems, assimilating Bayesian filtering with Neural operators.
Previously, he did his M.Tech. from MNNIT Allahabad in 2021 in Mechanical Engineering.
Email: sahilkashyap.nr@gmail.com
Toiba Noor (Dec 2022-present)
Toiba is a PhD student (hailing from Kashmir) with Prof. G. V. Ramana (from the Civil Engineering department) and Dr. Rajdip Nayek, working on soil constitutive modeling using deep learning techniques.
Previously, she did her B.Tech. in civil engineering at NIT Srinagar.
Email: toibanoor95114@gmail.com
Rohan Thorat (Aug 2023-present)
Rohan is a PhD student at IIT Delhi (hailing from Pune) currently pursuing his research with Dr. Rajdip Nayek in the Applied Mechanics department. His research interests are focused on the interplay between Control, System Identification, and Reinforcement Learning.
Prior to his doctoral studies, Rohan completed his Master's degree from IIT Delhi under Dr. Nayek. During his Master's, he delved into parameter tracking and control using reinforcement learning
Email: rohanthorat2@gmail.com
Github: https://rohan-v-thorat.github.io/
Sawan (Dec 2022-present)
Sawan is a PhD student at IIT Delhi (hailing from New Delhi) currently pursuing his research with Dr. Souvik Chakraborty and Dr. Rajdip Nayek in the Applied Mechanics department. His research interests are focused on the use of the Gaussian process for developing uncertainty-aware neural operators for machine learning applications.
Prior to his doctoral studies, Sawan completed his B. Tech. from Delhi Technological University in Mechanical Engineering.
Email: sawankr02@gmail.com
MASc (or MSR) students
Abhijit Choudhury (Aug 2023-present)
Abhijit is a Masters (by research) student (hailing from Silchar) who is working in the area of multi-fidelity deep learning for structural health monitoring using elastic wave propagation.
He did his B.Tech. from North Eastern Regional Institute of Science and Technology in Mechanical Engineering.
Email: arcwrksp@gmail.com
Soban Nasir (Aug 2022-Aug 2024)
Soban is a former Masters (by research) student (hailing from Kashmir) who worked in the area of generalized variational Bayesian inference of Deep Operator Network (DeepONet) for surrogate modeling of partial differential equations.
He did his B.Tech. from NIT Srinagar in Civil Engineering.
Currently, he is pursuing PhD at the Technical University of Munich, Germany.
Email: sobanlone88@gmail.com
Siddharth Raghu (Aug 2022-July 2023)
Siddharth is a former MSR student (hailing from Chennai) jointly supervised by Dr. Vamsi Chalamalla and Dr. Rajdip Nayek. He works in the area of physics-informed neural networks for simulating jet flows.
He did his B.Tech. from NIT Trichy in Mechanical Engineering.
Currently, he is a R&D Manager at Bajaj Auto Limited.
Debrup Sarkar (Aug 2022-July 2024)
Debrup is a former Masters (by research) student (hailing from Silchar) jointly supervised by Dr. Rajdip Nayek and Dr. Sabyasachi Chatterjee. He works in the area of hyperelastic material modeling using Bayesian deep learning.
He did his B.Tech. from the North Eastern Regional Institute of Science and Technology in Mechanical Engineering.
Currently, he is working as a Data and Analytics Engineer at HSBC.
Email: dbrpsarkar@gmail.com
MTech students
1) Amit Kumar Maurya (2021 - 2023) - Application of Fourier Neural Operator for learning solution of Turbulent Jets (jointly with Prof. Vamsi Chalamalla) [working in Indian Railways]
2) Kalpesh Sanjay More (2021 - 2023) - SDE and PDE discovery using Bayesian sparse regression (jointly with Prof. Souvik Chakraborty) [working in Oceaneering]
3) Mohammad Anas (2021 - 2023) - Constitutive relation discovery of hyperelastic materials using Bayesian regression (jointly with Prof. Sabyasachi Chatterjee) [working in Siemens Gamesa]
4) Rohan Thorat (2021 - 2023) - Parameter tracking and control using Actor-Critic-based reinforcement learning [PhD student at IIT Delhi]
BTech students
1) Abhinav (2023 - 2025) - Reliability of mechanical oscillators using Normalizing Flows
2) Saurabh Kumar & Ishan Gupta (2023 - 2025) - Wind power time-series modeling for short-term prediction using LSTMs
3) Juhi Singh (2022 - 2024) - Application of Reinforcement Learning for Control of Spring-Mass-Dampers
4) Bhavesh (2022 - 2024) - Kalman-filter-based latent force inference
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