Günther Raidl
Ao.Univ.Prof. Dipl.-Ing. Dr.techn.

Günther Raidl

Research Interests

  • Solving algorithmic problems arising in various application domains, e.g. network design and other problems on graphs, transportation optimization, cutting and packing, computational biology, scheduling and timetabling
  • Combinatorial optimization by means of exact techniques including mathematical programming, branch and bound, dynamic programming, constraint programming as well as heuristics and metaheuristics
  • Machine learning, reinforcement learning
  • A particular focus lies in hybrid optimization techniques combining concepts of (meta-)heuristics, exact optimization techniques, and machine learning.
  • Efficient algorithms and data structures in general.

Also see the group’s research page.

International Organizational Activities

Board Memberships etc.:

Some (more or less) recent major activities:

Finally, find here a detailed list of most of my past and present international organisational activities.

Projects

Recent Publications