20082024

Research activity per year

Personal profile

Scientific Career

Andreas Wiese works on combinatorial optimization problems. These are problems in which the best or a very good solution needs to be found among very many possible solutions, as quickly as possible with the help of a computer. The goal is to program the computer with a so-called algorithm in such a way that it finds the desired solution very fast. For example, if you use your smartphone to find the best way to some destination, then such an algoritihm is used, and it typically finds the best way for you in less than a second.

Andreas Wiese studied mathematics at the TU Berlin where he also did his PhD in mathematics. He was a postdoc at the "La Sapienza" University in Rome and at the MPI for Informatics in Saarbrücken. He has also been a professor at the Universidad de Chile in Santiago and at the Vrije Universiteit Amsterdam. Finally, Andreas Wiese joined TUM in 2022.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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