The Team

All members of the team are associated with the Section for Scientific Computing at DTU Compute. Click on a name to access the personal homepage.

• Professor Per Christian Hansen is the Villum Investigator. He is a SIAM Fellow of 2015 and his specialization is numerical analysis, matrix computations, iterative algorithms and computational algorithms for inverse problems.

• Associate Professor Martin S. Andersen is a specialist in convex optimization and numerical optimization algorithms.

• Associate Professor Yiqiu Dong is a specialist in noise modeling and algorithms for methods for image processing.

• Senior Researcher Jakob Sauer Jørgensen is a specialist in algorithms and software for image reconstruction and their application in X-ray CT.

• Associate Professor Mirza Karamehmedovic is a specialist in functional analysis and physical modeling with uncertainty quantification.

• Professor Kim Knudsen is a specialist in coupled-physics modeling, PDE-constrained optimization, functional analysis and electrical impedance tomography. Read an interview with Kim Knudsen.

• Project coordinator Dorte Olesen.

• Project secretary Anette Iversen.

Postdocs

• Babak Maboudi Afkham with a project focusing on Goal-Oriented Uncertainty Quantification.
  
  
• Amal Mohammed A. Alghamdi with a project focusing on Computational Uncertainty Quantification for PDE Problems

• Nicolai André Brogaard Riis with a project focusing on efficient and flexible computational methods.

• Felipe Uribe (2020-2022) with a project focusing on Non-Gaussian Priors.

PhD Students

• Katrine Ottesen Bangsgaard with the project Prior Modeling in Computational UQ for Inverse Problems.
  
  
• Silja Westphal Christensen with the project UQ for Tomographic Reconstruction.
  
  
• Jasper Marijn Everink with the project Computational UQ for Inverse Problems with Implicit Priors.
  
  
• Rafael Flock with the project Dimensionality Challenges in UQ for Inverse Problems.
  
  
• Andreas Horst with the project Inverse Problems with Besov Priors.
  
  
• Kristoffer Linder-Steinlein with the project UQ for Source Localization and Passive Imaging in Random Media.
  
  
• Puyuan Mi with the project Model Error Reduction in Inverse Problems.

• Aksel Kastrup Rasmussen with the project Computational UQ of Hybrid Inverse Problems

Collaborators

• Professor Johnathan M. Bardsley, Department of Mathematical Sciences, University of Montana - specialist in computational methods for inverse problems and uncertainty quantification.

• Associate Professor Julianne Chung, Department of Mathematics, Emory University - specialist in in computational methods for inverse problems and uncertainty quantification in imaging applications.

• Associate Professor Matthias Chung, Department of Mathematics, Emory University - specialist in computational inverse problems, data analytics & learning, uncertainty quantification, and numerical optimization.

• Professor Bangti Jin, Department of Mathematics, Chinese University of Hong Kong - specialist in theory and algorithms for inverse and ill-posed problems.

• Associate Professor Jakob Lemvig, DTU Compute - specialist in wavelets, frames, and signal analysis.

• Professor Tanja Tarvainen, Department of Applied Physics, University of Eastern Finland - specialist in computational methods for inverse problems and uncertainty quantification in imaging applications

• Research Professor Faouzi Triki, Laboratoire Jean Kuntzman, Grenoble-Alpes University - specialist in inverse problems and mathematical modeling in optics.

• Felipe Uribe, LUT University, Finlance - specialist in sampling methods.

• Research Scientist Olivier Zahm, INRIA-Grenoble - specialist in model order reduction for uncertainty quantification.