Vincent Heuveline

Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
Heidelberg University

Vincent Heuveline’s research interests include uncertainty quantification (UQ) in scientific computing, high performance and data intensive computing, and software engineering, with main application focuses in medical engineering. Besides lecturing scientific computing, he teaches also IT security. He serves as a program committee member of several international conferences on high performance and scientific computing. He is widely consulted by the industry with respect to the deployment of numerical simulation, cloud computing and IT security in industrial environments. He is co-cordinator in the “Informatic4life” project that aims for a joint approach to tackle heart diseases by incorporating experts from computational modeling and clinical research.

Principal Investigator

Faculty of Mathematics and Computer Science

Further information

Responsibilities at home organisation
Responsibilities within the project
Field of Expertise
Institution
CV
Research interests of relevance to the project
Selected publications
Complete list of publications
Contact details

Responsibilities at home organisation

  • Full Professor at Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR), Faculty of Mathematics and Computer Science
  • Chief Information Officer (CIO) of Heidelberg University
  • Director of the University Computing Centre
  • Head of the research group Engineering Mathematics and Computing Lab (EMCL) at IWR
  • Group leader of Data Mining and Uncertainty Quantification (DMQ) at HITS (Heidelberg Institute of Theoretical Studies)

Responsibilities within the project

Data Mining and Uncertainty Quantification for Medical Engineering

Field of Expertise

  • Uncertainty Quantification (UQ)
  • High performance and data intensive computing
  • Software engineering with main application focuses in medical engineering
  • Hardware-aware scientific computing

Institution

Heidelberg University / Interdisciplinary Center for Scientific Computing

Heidelberg Institute of Theoretical Studies

CV

Vincent Heuveline studied at the Universities of Caen (France) and Würzburg (Germany). He received his PhD in Computer Science in 1997 from the Université de Rennes and INRIA (Institut National de Recherche en Informatique et Automatique) and habilitated in Mathematics at Heidelberg University in 2002. Before he returned to Heidelberg in 2013 he was a professor at Karlsruhe University and KIT. Besides his professorship at IWR, Vincent Heuveline is also Chief Information Officer (CIO) and Director of the Computing Center of Heidelberg University.

https://numhpc.org/vincent-heuveline/index.php?id=cv

Research interests of relevance to the project

  • Uncertainty Quantification (UQ) in Scientific Computing
  • Data based mathematical modelling
  • High performance and data intensive computing
  • Software engineering with main application focuses in medical engineering

Selected publications

  • Huang, J., Brenna, C., Khan, A.u.M., Daniele, C., Rudolf, R., Heuveline, V. and Gretz, N.: A cationic near infrared fluorescent agent and ethyl-cinnamate tissue clearing protocol for vascular staining and imaging, Nature Scientific Reports 2019 Vol. 9(1), pp. 521.
  • van de Kamp, T., Schwermann, A.H., dos Santos Rolo, T., Lösel, P.D., Engler, T., Etter, W., Faragó, T., Göttlicher, J., Heuveline, V., Kopmann, A., Mähler, B., Mörs, T., Odar, J., Rust, J., Tan Jerome, N., Vogelgesang, M., Baumbach, T. and Krogmann, L.: Parasitoid biology preserved in mineralized fossils, Nature Communications 2018 Vol. 9(1), pp. 3325.
  • Bromberger, M., Bastian, P., Bergeest, J.-P., Conrad, C., Heuveline, V., Rohr, K. and Karl, W.: FPGA-accelerated Richardson-Lucy deconvolution for 3D image data, Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pp. 132-135.
  • Schick, Michael & Heuveline, Vincent & Le Maître, Olivier. (2014). A Newton–Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics. SIAM Review 2016 Vol. 58(1), pp. 119-140.
  • Schoch N., Engelhardt S., De Simone R., Wolf I., Heuveline V. (2017) High Performance Computing for Cognition-Guided Cardiac Surgery: Soft Tissue Simulation for Mitral Valve Reconstruction in Knowledge-Based Surgery Assistance. In: Bock H., Phu H., Rannacher R., Schlöder J. (eds) Modeling, Simulation and Optimization of Complex Processes HPSC 2015. Springer, Cham, pp. 205-221.

Contact details

Address:

Heidelberg University
Mathematikon
Im Neuenheimer Feld 205
Room: 1.405
69120 Heidelberg
Germany

Phone: +49 6221 54 14520
E-Mail: vincent.heuveline@uni-heidelberg.de
E-Mail of assistant: lydia.mehra@uni-heidelberg.de

Suboor Bakht
Roland Wittje
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