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:   Site web:   https://mcss.epfl.ch/

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Données administratives

Domaines de compétences

His research interests focus on the development, analysis, and application of high-order accurate computational methods for the solution of complex time-dependent problems, often requiring high-performance computing. A particular focus of his research has been on the development of computational methods for problems of linear and non-linear wave problems with applications to optics, radar applications, gravity waves, and geophysical flows, eg for tsunami prediction. He has also made considerable contributions to the development of reduced order models to allow the accurate real-time modeling of complex systems. A recent emphasis has been on combining traditional methods with machine learning and neural networks with broad applications, including structural health monitoring. Throughout his career, he has worked collaboratively with engineers and applied scientists in the public or private sector. He has co-authored more than 175 papers and 4 monographs, several of which have become standard references.

Formation

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


Récompenses

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

Publications Infoscience