Biswarup Biswas
Assistant Professor
biswarup.biswas@mahindrauniversity.edu.in
Dr. Biswarup Biswas currently works as an Assistant Professor at the Department of Mathematics at Mahindra University. Before joining MU, he was a Post Doctoral Fellow at IIT Delhi, where he worked with Dr Harish Kumar. He earned his PhD from SRM Institute of Science and Technology, where his thesis title was Non Linearly Stable High Order Accurate Efficient Schemes for System of Hyperbolic Conservation Laws. He completed his MSc from IIT Madras.
He works in the area of computational methods for Balance Laws. Most of his PhD works are in the area of higher-order provably stable methods for hyperbolic conservation laws. Currently, he is working on stable schemes for various astrophysical problems.
Some of his current interests are Entropy Stable schemes, DG schemes, Stability of numerical schemes for Hyperbolic Conservation Laws, Deep learning, Numerical schemes for Hamilton Jacobi equations.
2018
- Ph.D. in Mathematics from SRM Institute of Science and Technology, Kattankulathur, India September 2018.
Thesis title: Non Linearly Stable High Order Accurate Efficient Schemes for System of Hyperbolic Conservation Laws.
Supervisor: Dr. Ritesh Kumar Dubey
2013
- M.Sc. in Mathematics from IIT Madras, Chennai, India 2013.
2010
- B.Sc. in Mathematics from University of Kalyani, West Bengal, India 2010.
Present
- Dr. Biswarup Biswas currently works as an Assistant Professor at the Department of Mathematics at Mahindra University.
Teaching Experience
Teaching Experience
- Workshop (R Programming and GPU computing), Instructor, Mahindra University
- Scientific Computing – I, Instructor, Mahindra University
- Computing Laboratory, Shared Instructor IIT Delhi
- Computational Methods for Differential Equations, Teaching Assistant (TA), IIT Delhi
- Calculus, Teaching Assistant (TA), IIT Delhi
Research Experience
Research Experience
- Post Doctoral Fellow, March 2019 to June 2021
- Mentor: Dr. Harish Kumar, IIT Delhi
2022
2021
2020
2018
2017
2016
- Numerical Analysis
- Computational methods for partial differential equations
- Hyperbolic conservation laws