Research areas and current projects
Our research focuses on modeling complex (and often stochastic) search and optimization problems in business, and solving them via computational heuristics. A special emphasis is given to distributed problems arising in social multi-agent systems, which cannot be optimized by pure economic price coordination. Imposing a solution by a central planner will often be rejected by the autonomous agents. We therefore need to design distributed mechanisms providing incentives to participate to the individual agents without deviating too much from a pareto-efficient solution.
We apply these methods to various domains, leading the following complementary areas of research::
- Computational Intelligence
- Vehicle Routing
- Yield Management and Planning of Internal Processes
- Multi-Agent Systems
- Recommender Systems for Reciprocal Matching
- Medical Data Mining and Forecasting
For details please refer to "Research".
Besides our Bachelor courses "Business Information Systems" and "Operations Research" we offer the following Master courses: