Jan S. Hesthaven

EPFL VPA
CE 3 316 (Centre Est)
Station 1
1015 Lausanne

EPFL SB MATH MCSS
MA C2 652 (Bâtiment MA)
Station 8
1015 Lausanne

Web site:  Web site:  https://mcss.epfl.ch/

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Administrative data

Fields of expertise

The research activities focuses on the development, analysis and application of high-order accurate computational methods for time-dependent partial differential equations with a particular emphasis on linear and nonlinear wave problems. This has and continues to included research activities in discontinuous Galerkin and spectral methods, certificed reduced basis methods, methods for uncertainty quantification, methods for multiscale problems in time and space,  efficient multilevel solvers and fractional differential equations. A major recent activity is the use of machine learning techniques in computational science with an emphasis on methods that preserve physical characteristics or the use of local neural networks to accelerate existing methods rather than replacing them.

While the emphasis in on the development and analysis of new methods and algorithms, the research is application driven and we generally maintain a strong focus on tying the theoretical developments to real applications, ranging from electromagnetics and plasma physics to geoscience and combustion. There is also a sustained interest in the development of methods and algorithms for parallel computing, GPU accelerated computing and the development of resilient algorithms, to support the development and use of large scale computational tool to enable predictive similation science.

Education

Master of Science

Computational Physics

Technical University of Denmark

01/91-08/91

Doctor of Philosophy (PhD)

Numerical analysis

Technical University of Denmark

08/92-08/95

Doctor Technices (dr.techn)

Computational Mathematics

Technical University of Denmark

11/2009


Awards

NSF Postdoctoral Fellowship

US National Science Foundation

1995

Alfred P. Sloan Research Fellowship

Alfred P Sloan Foundation, US

2000

Manning Assistant Professorship

Brown University, US

2001

NSF Career Award

US National Science Foundation

2002

SIAM Fellow

Society of Industrial and Applied Mathematics, US

2014

AMS Fellow

American Mathematical Society

2022

Fellow (Foreign)

Royal Danish Academy of Sciences and Letters

2022

Publications

Infoscience publications