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Christian Hansen is a professor in Scientific Computing at the Technical University of Denmark (DTU), where he has focused on computational methods for solving inverse problems, including image deblurring and tomography. His research emphasizes uncertainty quantification and numerical regularization methods. He has an impressive h-index of 54 and is a SIAM Fellow. Hansen's academic journey includes a Danish Dr. Techn. doctoral degree, awarded in 1996, and 35 years of work in numerical analysis. He has published over 120 scientific papers and five books on numerical methods for inverse problems. Furthermore, he has developed several software packages, including "Regularization Tools" and "IR Tools." Hansen has extensive research experience, with visits to Stanford University, UCLA, and Emory University, contributing to his robust profile in the academic community. He teaches numerical methods and supervises PhD students, bringing a wealth of knowledge to his classes and research projects. His expertise aligns with multiple UN Sustainable Development Goals, aiming to advance education and innovation in the field of scientific computing.
Technical University of Denmark • Kgs. Lyngby, Denmark
UNI-C •
Copenhagen University •
Technical University of Denmark •
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.