Postdoctoral fellow
Dr. Abhishek Chaudhary
Employment#
- Nov 2022 – present: Postdoctoral fellow, Universität Tübingen, Mathematisches Institut. Mentor: Prof. Andreas Prohl
- Sep 2022 – Oct 2022: Postdoctoral fellow, TIFR, Centre for Applicable Mathematics, Bangalore, India. Supervisor: Prof. Ujjwal Koley
Academic profile#
- Aug 2018 – Aug 2022: PhD research scholar, TIFR, Centre for Applicable Mathematics, Bangalore, India. Thesis advisor: Prof. Ujjwal Koley. Thesis title: On kinetic and measure-valued solutions to fluid flow equations.
- 2016 – 2018: M.Sc. in Mathematics, TIFR, Centre for Applicable Mathematics. University: Tata Institute of Fundamental Research, Mumbai. Marks: 80.25%.
- 2013 – 2016: B.Sc. (Honours) in Mathematics, Deen Dayal Upadhyaya College, University of Delhi. Marks: 91.67%.
Research interests#
- Stochastic partial differential equations (SPDEs)
- Stochastic conservation laws
- Numerical analysis
- Stochastic optimal control problems
- Regularization effect of noise
- Statistical learning
- Machine learning
Selected publications and research works#
- A. Chaudhary, Higher order numerical schemes for SPDEs with additive noise, preprint 2025.
- A. Chaudhary, A numerical method to simulate the stochastic linear-quadratic optimal control problem with control constraint in higher dimensions, preprint 2024.
- A. Chaudhary, U. Koley, E. Wiedemann, Dissipative measure-valued solutions to Euler-alignment system, preprint 2024.
- A. Chaudhary, F. Merle, A. Prohl, Y. Wang, An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem, IMA J. Numer. Anal. (2025) 00, 1–55.
- A. Chaudhary, Stochastic fractional conservation laws, J. Math. Anal. Appl. 531 (2024).
- A. Chaudhary, Stochastic degenerate fractional conservation laws, Nonlinear Differential Equations and Applications NoDEA 30 (2023), no. 3, Paper No. 42, 48 pp.
- A. Chaudhary, G. Vallet, A short remark on inviscid limit of the stochastic Navier–Stokes equations, Z. Angew. Math. Phys. (2023) 74:219.
- A. Chaudhary, U. Koley, A convergent finite volume scheme for the stochastic barotropic compressible Euler equations, ESAIM Math. Model. Numer. Anal. 57 (2023), no. 6.
- A. Chaudhary, U. Koley, On weak-strong uniqueness for stochastic equations of incompressible fluid flow, J. Math. Fluid Mech. 24 (2022), no. 3, Paper No. 62, 33 pp.
- A. Chaudhary, Convergence of a spectral method for the stochastic incompressible Euler equations, ESAIM Math. Model. Numer. Anal. 56 (2022), no. 6.
Grants#
- Sep – Oct 2024: Travel grant from U. Tübingen, to participate in the ICTS program on Deterministic and Stochastic Analysis of Euler and Navier–Stokes Equations, Bangalore, India.
- Feb – Mar 2024: Travel grant from U. Tübingen, for a visit to TIFR CAM Bangalore, IIT Delhi, IIT Roorkee, IIT Ropar, India.
- May 2023: Research grant from U. Tübingen, for a visit to the University of Pau, France.
- July 2022: Research grant from the TIFR CAM fund, to attend the 2nd IST Austria Summer School in Analysis and PDEs, Institute of Science and Technology Austria, Klosterneuburg.
- Feb – Mar 2022: Research grant from the IFCAM project “Evolutionary PDEs: degeneracy, noise and approximations”, for a visit to U. Pau, France.
Awards and fellowships#
- Nov 2022 – present: Postdoctoral fellowship, University of Tübingen
- Sep 2022 – Oct 2022: Postdoctoral fellowship, Tata Institute of Fundamental Research
- Aug 2018 – Aug 2022: Doctoral fellowship, Tata Institute of Fundamental Research
- July 2016 – July 2018: Master’s fellowship, Tata Institute of Fundamental Research
- 2016: M.Sc. and Int. Ph.D. entrance exams cleared (IIT Guwahati, IISER Bhopal, IISER Mohali, TIFR CAM Bangalore)
- 2013 – 2016: INSPIRE Scholarship for Higher Education, Department of Science and Technology, India
Teaching experience#
- April 2025 – present: Teaching, U. Tübingen (Financial Mathematics and Numerics, 3h/week)
- Oct 2024 – Feb 2025: Teaching, U. Tübingen (Numerical Optimization, 3h/week)
- April – July 2024: Teaching, U. Tübingen (Optimal control theory with ODE and numerics, 3h/week)
- Oct 2023 – Feb 2024: Teaching, U. Tübingen (Stochastic differential equations with numerics, 3h/week)
- April 2024 – July 2024: Co-instructor, U. Tübingen (instructor: Prof. Andreas Prohl, Statistical Learning 1). Conducted discussions with graduate students to prepare seminar talks (2h/week).
Teaching assistance#
- April 2023 – July 2023: U. Tübingen (Prof. Andreas Prohl, Statistical Learning 2). Conducted tutorial classes (2h/week).
- April 2023 – July 2023: U. Tübingen (Prof. Andreas Prohl, Seminar Statistical Learning 1). Conducted tutorial classes (2h/week).
- Feb 2020: TIFR-CAM (Prof. Martina Hofmanová, Stochastic Compressible Fluid Flows). Conducted discussion classes.
- Jan – July 2020: TIFR-CAM (Prof. Ujjwal Koley), Fluid Mechanics. Conducted discussion classes and assigned grades.
- Aug 2019: TIFR-CAM, NCMW – System of Conservation Laws Theory and Numerics, Hyperbolic Conservation Laws. Conducted discussion classes.
- Jan – July 2019: TIFR-CAM (Prof. Ujjwal Koley), Measure Theory. Conducted discussion classes and assigned grades.
- Aug – Dec 2018: TIFR-CAM (Prof. Ujjwal Koley), Probability Theory. Conducted discussion classes and assigned grades.
- May – June 2018: TIFR-CAM, SWM program for undergraduates, Real Analysis, Linear Algebra and Advanced Calculus. Conducted discussion classes.
Invited talks#
- May 2025: ENS de Lyon, France — An efficient, implementable discretization of SLQ problem and convergence with rates
- April 2025: ICMS Edinburgh, U.K. — An efficient, implementable discretization of SLQ problem and convergence with rates
- Sep 2024: IIT Jammu, India — An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem
- March 2024: IIT Roorkee, India — An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem
- March 2024: IIT Ropar, India — An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem
- March 2024: Seminar talk for graduate students, University of Delhi, New Delhi — Linear quadratic optimal control problem and numerical optimization
- March 2024: IIT Delhi, India — An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem
- Feb 2024: TIFR CAM, Bangalore — An efficient discretization to simulate the solution of linear-quadratic stochastic boundary control problem
- Feb 2024: Seminar talk, University of Tübingen — Stochastic linear quadratic optimal control problem
- May 2023: Seminar talk, University of Pau, France — Measure-valued solution to incompressible Euler equations with stochastic forcing
Conferences and workshops attended#
- April 2025: ICMS, Edinburgh, U.K. — Numerical Modelling of Nonlinear Stochastic Systems
- Feb 2025: Swiss MAP Research Station, Les Diablerets, Switzerland — Swiss MAP Workshop: Stochastic Equations and Stochastic Dynamics
- Sep 2024: ICTS, Bangalore, India — ICTS program on Deterministic and Stochastic Analysis of Euler and Navier–Stokes Equations
- July 2022: Institute of Science and Technology Austria, Klosterneuburg — 2nd IST Austria Summer School in Analysis and PDEs
- Sep – Dec 2020: IIT Kanpur, IISER Pune, IISER Kolkata, TIFR-CAM — Webinar on PDE and related areas
- Feb 2020: TIFR-CAM, Bangalore — Compact course on mathematical aspects of stochastic compressible fluid flows by Prof. Martina Hofmanová
- Jan – Feb 2019: TIFR-CAM, Bangalore — Compact course on mathematical aspects of Euler equations by Prof. Eduard Feireisl
- May 2018: TIFR-CAM, Bangalore — Compact course on stochastic scalar first-order conservation laws by Prof. Julien Vovelle
- June – July 2017: TIFR-CAM, Bangalore — ATM School: AIS Linear Partial Differential Equations
Advanced courses attended#
- Potential theory by Prof. Kaushik Ramachandran, TIFR-CAM, 2019
- Harmonic analysis by Dr. Ramesh Manna, TIFR-CAM, 2018
- Microlocal analysis by Prof. Venkateswaran P. Krishnan, TIFR-CAM, 2018
- Kinetic theory for scalar conservation laws by Prof. K.T. Joseph, TIFR-CAM, 2018
- $L^p$ theory for elliptic PDEs by Prof. K. Sandeep, TIFR-CAM, 2018
Graduate level courses attended#
Real Analysis · Topology · Linear Algebra · Theory of ODE · Measure and Integration · Functional Analysis · Algebra · Elementary PDE · Complex Analysis · Numerical Analysis · Probability Theory · Advanced PDE I · Computational Methods · Differential Geometry · Mechanics · Advanced PDE II
Peer review activities#
- Reviewer, Stochastics and Partial Differential Equations: Analysis and Computations. Reviewed a paper on a topic related to compressible fluid flow equations (certificate).
- Reviewer, Nonlinear Differential Equations and Applications NoDEA. Reviewed a paper on a topic related to mathematical analysis and SPDEs (certificate).
- Reviewer, Computational Methods in Applied Mathematics (CMAM). Reviewed a paper on a topic related to SPDEs and numerical analysis (certificate).
- Reviewer, Zeitschrift für angewandte Mathematik und Physik. Accepted an invitation to review a paper on a topic related to well-posedness theory for a particular system of SPDEs.