Permanent Faculty
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Per Christian Hansen, Professor
Keywords: uncertainty quantification, inverse problems, matrix computation, regularization methods
Per Christian Hansen is a VILLUM Investogator and his research focuses on computational methods for the solution of large mathematical and engineering problems. His main research area concerns the numerical solution of inverse problems in, e.g., tomography and iamge deblurring. His work on numerical methods for regularization is internationally recognized. His h-index is 48 (March 2019) and he is a SIAM Fellow. Per Christian Hansen is professor of Scientific Computing at the Department of Informatics and Mathematical Modelling. He was awarded the Danish Dr. Techn. doctoral degree in 1996 from DTU in the area of numerical analysis. He has spent several research visits at American universities, such as Stanford University, UCLA, Emory University, and Tufts University. Per Christian Hansen teaches numerical algorithms and inverse problems. He has published 4 books on numerical methods and inverse problems and more than 100 scientific papers in international journals. read more
John Bagterp Jørgensen, ProfessorKeywords: systems and control, numerical optimization, numerical solution of differential equations, model predictive control, process control and optimization, scientific computing
My research is focused on model predictive control for industrial energy and chemical systems, medical systems, and systems within economics and finance. This involves developing new computational methods for model predictive control. Much of the research is in collaboration with industrial companies. read more
Dimitri Boiroux, Associate ProfessorKeywords: diabetes technology, mathematical modelling, scientific computing, model-based control, model predictive control, state estimation, parameter estimation, Kalman filter, differential equations
I am broadly interested in mathematical modeling and scientific computing. In particular, I have conducted research about model identification and validation, numerical optimization, linear and nonlinear model predictive control, adaptive control and scientific computing of ordinary differential equations. My main field of application so far was biological systems, e.g. for the control of blood glucose in people with diabetes and patients in the intensive care unit. read more
Martin Skovgaard Andersen, Associate ProfessorKeywords: optimization, numerical linear algebra, scientific computing
My research focuses on convex optimization and its applications in science and engineering. I am particularly interested in large-scale conic and semidefinite optimization and algorithms that exploit some kind of mathematical structure (such as sparsity or rank stucture) in order to solve large, challenging optimization problems faster. read more
PhDs, Postdocs and Research Assistants
Coming soon.