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Martin Skovgaard Andersen is an Associate Professor in the section of Scientific Computing at the Technical University of Denmark (DTU). He has a Ph.D. from the University of California, Los Angeles, which he completed between 2006 and 2011. Martin's primary research interests include Optimization, Signal Processing, and Machine Learning, with particular focus on Numerical Methods Algorithms and Mathematical Programming, including Stochastic Programming and Numerical Optimization. He has participated in various research projects, including work on Physics-Informed Data-Driven Structural Health Assessment for Offshore Infrastructures and algorithms for non-symmetric conic optimization. Additionally, he supervises PhD students and has held a postdoctoral position at Linköping University in Sweden from 2011 to 2012. Martin is dedicated to advancing the field of Scientific Computing and has collaborated significantly within this domain.
Technical University of Denmark • Kgs. Lyngby, Denmark
Leading the Scientific Computing section and supervising PhD students.
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.