Alexander Eckl

PhD Student

Education:

  • since 05/2018: PhD candidate AdONE, TUM
  • 04/2015 - 03/2018: Master of Science, Mathematics in Operations Research, TUM
  • 08/2015 - 01/2016: Erasmus: KTH Royal Institute of Technology, Stockholm, Sweden
  • 10/2011 - 03/2015: Bachelor of Science, Mathematics, TUM

 

 Research Interests:

My interests lie in discrete and combinatorial optimization, particularly optimization on graphs, network flows, algorithmic optimization and approximation. I am also researching uncertainty in the form of robust optimization.

Publications:

Master's Thesis: Variations of the robust network flow problem

Bachelor's Thesis: Affine-scaling-methods for data classification with support vector machines

 

Contact and further information