Prof. Dr. Jan Giesselmann

Contact

work +49 6151 16-23167

Work S4|10 108
Dolivostraße 15
64293 Darmstadt

Publications

Research Interests

  • Hyperbolic Conservation Laws
  • Compressible fluid flows
  • Discontinuous Galerkin Methods
  • A-priori and a-posteriori error estimators
  • Model-adaptation
  • Uncertainty Quantification

Teaching

Winter Term 2021/22

  • Introduction to Numerical Mathematics (in German)
  • Numerical Methods for PDEs (in English)
  • BSc Seminar Numerical Mathematics

Summer Term 2021

  • Numerical Linear Algebra
  • Numerical Mathematics (Math 4 for mech. engineering)
  • BSc Seminar Numerics

This is a list of suggestions for Bsc-Thesis topics that I would be happy to supervise. If you are interested in any of these topics please send me a mail. The topic will be made precise once we have discussed your scientific background and interests,

I give links to the literature for each topic. The literature is supposed to convey an impression of what the topic is about. It is not necessary to understand this literature in detail before working on any of the topics.

BSc

MSc



Winter Term 2020/21
  • Lecture Numerics of Ordinary Differential Equations (German)
  • Mathematical Consulting: Introduction to Mechanical Engineering
  • Proseminar : Numerical Mathematics


Sommersemester 2020


Winter Term 2019/20
Summer Term 2019Wintersemester 2018/19
Sommersemester 2018
Uncertainty Quantification (RWTH Aachen)
Mathematische Grundlagen für Computational Engineering Science II (RWTH Aachen)
Wintersemester 2017/18
Mathematische Grundlagen für Computational Engineering Science I (RWTH Aachen)
Mathematische Grundlagen für Computational Engineering Science V (RWTH Aachen)
Sommersemester 2017
Numerical Methods for Differential Equations (Uni Stuttgart)
Masterseminar Mehrskalenmodellierung (Uni Stuttgart)
Wintersemester 2016/17
Einführung in die Numerik Partieller Differentialgleichungen (Uni Stuttgart)
Sommersemester 2016
Numerical Methods for Differential Equations (Uni Stuttgart)
Wintersemester 2015/16
Einführung in die Numerik Partieller Differentialgleichungen (Uni Stuttgart)
Sommersemester 2015
Numerical Methods for Differential Equations (Uni Stuttgart)
Masterseminar Diskontinuitäten im Kontinuum (Uni Stuttgart)
Proseminar Iterative Lösungsverfahren (Uni Stuttgart)
Wintersemester 2014/15
Lineare Strukturen (Uni Stuttgart)
Sommersemester 2014
Numerische Methoden des Strömungsmechanik (Uni Stuttgart)
Wintersemester 2013/14
Einführung in die Numerik Partieller Differentialgleichungen (Uni Stuttgart)
Proseminar Mathematische Modellierung (Uni Stuttgart)
Sommersemester 2013
Numerische Lineare Algebra (Uni Stuttgart)
Sommersemester 2012
Numerical Methods for Differential Equations (Uni Stuttgart)
Education
2001 Abitur, Widukind Gymnasium Enger
2006 Diplom in Mathematics, University of Bielefeld
2011 PhD in Mathematics, University of Stuttgart
2015 Habilitation in Mathematics, University of Stuttgart
Academic Career
2007 – 2018 Research and Teaching Assistant, University of Stuttgart
2011/12 Postdoc, University of Crete
2012/13 Research Assistant, Weierstrass Institute, Berlin
2013/14 Associate Professor (not tenured) “Numerical Mathematics”, University of Stuttgart
2015 – 17 Associate Professor (not tenured) “Optimisation and Inverse Problems”, University of Stuttgart
2017/18 Associate Professor (not tenured) “Numerical Simulations”, RWTH Aachen University
since October 2018 Professor “Mathematics – Numerics”, Technische Universität Darmstadt

Observer-based data assimilation for time-dependent flows in gas networks (Subproject C05 in SFB-TRR154 funded by German Research Foundation DFG) This is a joint project with Martin Gugat, FAU Erlangen-Nuremberg

EMBFlyer

Tristan Pryer (Univ. of Bath) and I were organising a minisymposium on “Numerical methods for Hyperbolic Conservation Laws” at Computational Methods in Applied Mathematics that has been postponed to 2021 due to COVID 19.

Some conference videos:

Dynamical, spatially heterogeneous model adaptation in compressible flows (funded by German research foundation (DFG))

Numerical methods for multi-phase flows with strongly varying Mach numbers Elite-program for Postdocs of Baden-Wuerttemberg Stiftung

Mathematical Modeling of compressible fluids – from wild solutions to data integration – Research Seed Capital of University of Stuttgart and Ministry of Science, Research and Art Baden-Württemberg