Gabriel Wittum

Professor of Applied Mathematics and Computational Science

Social Profile:

Research Interests

​​Professor Wittum’s research focuses on a general approach to modelling and simulation of problems from empirical sciences, in particular using high performance computing (HPC). Particular areas of focus include: the development of advanced numerical methods for modelling and simulation, such as fast solvers like parallel adaptive multi-grid methods, allowing for application to complex realistic models; the development of corresponding simulation frameworks and tools; and the efficient use of top-level supercomputers for that purpose. These methods and tools are applied towards problem-solving in fields including computational fluid dynamics, environmental research, energy research, finance, neuroscience, pharmaceutical technology and beyond.

Selected Publications

  • Gradient-consistent enrichment of finite element spaces for the DNS of fluid-particle interaction. Höllbacher, S., & Wittum, G. Journal of Computational Physics, 401, (2020).
  • Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. Litvinenko, A., Logashenko, D., Tempone, R., Wittum, G., & Keyes, D. GEM - International Journal on Geomathematics, 11(1), (2020).
  • Mathematical modelling of the viable epidermis: Impact of cell shape and vertical arrangement. Wittum, R., Naegel, A., Heisig, M., & Wittum, G. Mathematics and Mechanics of Solids, 25(5), 1046-1059, (2020).
  • Rotational test spaces for a fully-implicit FVM and FEM for the DNS of fluid-particle interaction. Höllbacher, S., & Wittum, G. Journal of Computational Physics, 393, 186-213, (2019).
  • Advanced hepatitis C virus replication PDE models within a realistic intracellular geometric environment. Knodel, M. M., Targett-Adams, P., Grillo, A., Herrmann, E., & Wittum, G. International Journal of Environmental Research and Public Health, 16(3), (2019). 
  • Virtual reality in advanced medical immersive imaging: A workflow for introducing virtual reality as a supporting tool in medical imaging. Knodel, M. M., Lemke, B., Lampe, M., Hoffer, M., Gillmann, C., Uder, M., ...Bäuerle, T. Computing and Visualization in Science, 18(6), 203-212, (2018).
  • Quantitative analysis of hepatitis C NS5A viral protein dynamics on the ER surface. Knodel, M. M., Nägel, A., Reiter, S., Vogel, A., Targett-Adams, P., McLauchlan, J., ...Wittum, G. Viruses, 10(1), (2018).

Education

  • Habilitation, University of Heidelberg, 1991
  • Ph.D. (Dr. rer.nat.) in Applied Mathematics, University of Karlsruhe, 1987
  • Diploma in Mathematics and Physics, Univerisity of Karlsruhe, 1983

Professional Profile

  • 2008–2016:Professor of Modelling and Simulation & Director of the G-CSC, Goethe University Frankfurt, Germany.
  • 1998-2008: Professor of Computational Science and Simulation, University of Heidelberg, Germany.
  • 1994-1998: Professor of Applied Mathematics & Director of the Institute for Computer Applications, University of Stuttgart, Germany.
  • 1991-1993: Professor of Numerical Mathematics, University of Heildelberg, Germany.
  • 1987-1991: Postdoctoral Fellow, University of Heildelberg, Germany.

KAUST Affiliations

  • Applied Mathematics and Computational Science (AMCS)
  • Extreme Computer Research Center
  • Computer, Electrical and Mathematical Science and Engineering Division