☕️About Me
Hi! I’m Sawan Kumar, a PhD student at IIT Delhi.
My research spans scalable Bayesian methods, uncertainty quantification, physics-informed deep learning, Gaussian Processes, and computational mechanics. I am fortunate to be advised by Prof. Souvik Chakraborty and Prof. Rajdip Nayek.
Previously, I interned at the Foundation for Smart Manufacturing (FSM) at IIT Delhi, where I worked on robotic automation and AI for robotics. Before that, I applied machine learning and AI techniques to enhance the design and performance of electric vehicles as a team lead for Hertz Electric at DTU.
- Probabilistic Machine Learning
- Prior modeling
- Uncertianty quantification
- Physics-aware Deep learning
Ph.D., AI and ML
Indian Institute of Technology (IIT), Delhi
BTech., Mechanical Engineering
Delhi Technological University (formerly DCE)
I am a PhD candidate in the deparment of Applied Mechanics at the Indian Institute of Technology (IIT) Delhi. My research focuses on utilizing advanced computational methods to solve complex engineering problems.My interests include Bayesian Machine learning,Gaussian processes for PDEs and physics-aware neural networks.
Feel free to reach out if you’re interested in collaborating or learning more about my work!
