Souvik Chakraborty
| Grant Category: | Fulbright-Nehru Academic & Professional Excellence Award (Research & Teaching) |
| Project Title: | Data-Physics fusion in Computational Mechanics |
| Field of Study: | Mathematical Sciences |
| Home Institution: | Indian Institute of Technology (IIT) Delhi, New Delhi, Delhi |
| Host Institution: | University of Illinois , Champaign, Champaign, IL |
| Grant Start Month: | |
| Duration of Grant: | Four months |
Brief Bio:
Dr. Souvik Chakraborty is assistant professor at the Applied Mechanics Department, Indian Institute of Technology, Delhi. He also holds a joint faculty position at the Yardi School of Artificial Intelligence. His research interest is at the intersection of scientific computing and machine learning, with a focus on developing scalable, interpretable, and trustworthy machine learning algorithms for solving scientific and engineering problems. He is a recipient of the prestigious INAE Young Engineers Award.
Dr. Chakraborty joined IIT Delhi in 2020. Prior to that, he spent two years at the University of Notre Dame. He also spent some time at the University of British Columbia as a postdoctoral researcher. He obtained his PhD from the Indian Institute of Technology, Roorkee.
During his Fulbright-Nehru Academic and Professional Excellence (Research and Teaching) fellowship, Dr. Chakraborty will do a combination of both research with teaching. He is developing novel algorithms and frameworks for seamless fusion of data and physics. It is expected that the developed algorithm will address challenges such as out-of-distribution generalization and interpretability and will be a step towards realizing the dream of digital twins for infrastructural systems. Dr. Chakraborty is also teaching a course on operator learning, with the goal of developing synergy between teaching and research.