Bayesian Machine Learning, Uncertainty Quantification
Deep Learning for Mechanics
Active Control, Model Predictive Control
Physics discovery
Neural Operators and Scientific Foundation Model
Deep Reinforcement Learning
Research Scholar (Present)
Department of Applied Mechanics
Indian Institute of Technology Delhi, Hauz Khas, 110016
Thesis title: Data-driven online model-predictive control of systems with unknown physics.
CPI: 10/10
M.Tech (Class of 2019), Structural Engineering
Department of Civil Engineering
Indian Institute of Technology Guwahati, Assam, 781039
Thesis title: Stochastic simulation of nonlinear dynamic systems with applications.
First Class (Best Thesis Award - 2019, IIT Guwahati), Secured an Outstanding grade (AS) for thesis work.
CPI: 9.31/10
Title: Stochastic simulation of nonlinear dynamic systems with applications. [Link]
Focus: Uncertainty quantification, Stochastic Dynamics, System Identification, Structural Health Monitoring, Non-linear Dynamics, Probabilistic Mechanics.
Output: Published 2 articles from the master's thesis and an additional 3 articles in collaboration.
B.Tech (Class of 2016)
Department of Civil Engineering
North Eastern Regional Institute of Science and Technology
First Class (Awarded Gold Medal for securing top position in B.Tech)
CGPA: 4.59/5
Teaching Experience
Graduate Teaching Assistant, Indian Institute of Technology Delhi, Hauz Khas, India
APL 871 Reliability analysis and Reliability-based Design, July 2024 - Nov 2024, Instructor: Dr. Souvik Chakraborty.
APL 405 Machine Learning for Mechanics, Jan 2024 - April 2024, Instructor: Dr. Md Rushdie Ibne Islam.
APL 744 Probabilistic Machine Learning for Mechanics, July 2024 - Nov 2024, Instructor: Dr. Souvik Chakraborty.
APL 747 Uncertainty Quantification and Propagation, Jan 2024 - April 2024, Instructor: Dr. Souvik Chakraborty.
APL 744 Probabilistic Machine Learning for Mechanics, July 2023 - Nov 2023, Instructor: Dr. Souvik Chakraborty.
APL 405 Machine Learning for Mechanics, Jan 2023 - April 2023, Instructor: Dr. Rajdip Nayek.
APL 100 Engineering Mechanics, Nov 2022 - Feb 2023, Instructor: Dr. Souvik Chakraborty.
APL 745 Deep Learning for Mechanics, Jan 2022 - April 2022, Instructor: Dr. Souvik Chakraborty.
APL 452 Introduction to Digital Twins, July 2021 - Nov 2021, Instructor: Dr. Souvik Chakraborty.
Graduate Teaching Assistant under PMRF scholarship, Delhi Skill and Entrepreneurship University, Delhi.
BT-ME-ES302 Manufacturing Technology I.
BT-ME-ES401 Manufacturing Technology II.
Graduate Teaching Assistant, Indian Institute of Technology Guwahati, Assam, India
ME101 Engineering Mechanics, Jan 2019 - April 2019.
CE 513 Statistical Methods in Civil Engineering, July 2018 - Nov 2018, Instructor: Prof. Budhaditya Hazra.
Development of methods for
Data-driven physics discovery,
Data-driven and Physics-Informed neural operator learning,
Foundation model for Scientific Machine Learning.
Model-agnostic model predictive deep reinforcement learning.
Project Title: Functionality Enhancement through Design and Development of Advanced Finite Element Algorithms for STR TOOLS. The position involved developing the Operational Modal Analysis toolbox.
Development of stochastic simulation methods for nonlinear dynamical systems with applications to structural health monitoring – Awarded Best Master Thesis.
North Eastern Electric Power Corporation Limited (May’15-July’15).
Prime Minister’s Research Fellowship (PMRF), Ministry of Education, Government of India.
Best Poster in Mechanical Engineering Discipline, Indian National Academy of Engineering (INAE) Annual Convention, IIT Delhi.
Best Master’s Thesis in Civil Engineering, Indian Institute of Technology Guwahati.
Gold Medal in Bachelor's in Civil Engineering Discipline, North Eastern Regional Institute of Science and Technology.
Model-Agnostic Predictive Temporal Difference for Active Control, Scientific Machine Learning Research Talks, JHU-IITD SMaRT Seminar Series, November 2025.
Programming Languages: Python, PyTorch, TensorFlow, C, Matlab, and JAX.
FEA/CFD Platforms: Sap2000, Staad-Pro, FEniCS, and Ansys.
Drafting Platforms: AutoCAD, Catia, and Solidworks.
Graduate and Undergraduate Research Mentor at IIT Delhi. Directed and assisted three postgraduate and two undergraduate students in their research and term projects, spanning data-driven physics discovery, diffusion-based generative modeling, and deep reinforcement learning.
Student volunteer for International Conference On Vibration Problems (ICOVP), IIT Guwahati, December 2017.
Student volunteer in the Research Methodology Workshop, IIT Guwahati, August 2018.