Research Experience

Project Associate

Indian Institute of Technology Palakkad

Duration: 01-02-2026–Present

Department: Department of Mechanical Engineering

Mentor: Prof. Arijit Hazra

Working on Bayesian inverse problems using deep learning and probabilistic machine learning, with emphasis on variational inference and uncertainty quantification for computational engineering applications.

Bayesian Inverse Problems Deep Learning Variational Inference Uncertainty Quantification Scientific Machine Learning Probabilistic Machine Learning

Doctoral Researcher

Indian Institute of Technology Delhi

Duration: 27/12/2019–16/07/2026

Department: Department of Mechanical Engineering

Ph.D. Supervisors: Dr. Bahni Ray  •  Dr. Mayank Kumar

Conducted doctoral research at the intersection of multiphysics modeling, computational fluid dynamics, scientific machine learning, explainable artificial intelligence, surrogate modeling, and engineering optimization for electrostatic aerosol particle collection.

Computational Fluid Dynamics Multiphysics Modeling Scientific Machine Learning Explainable AI Surrogate Modeling Multi-Objective Optimization