Research line: Stochastic Modeling

Coordinator: Prof. Benny Van Houdt, Ph.D.

The research activities in this research line involve the development and application of stochastic modeling techniques to evaluate complex systems and communication systems in particular. The different activities can be subdivided into the following areas:

  1. Modeling: the aim of this area exists in developing new modeling techniques and algorithms to analyze complex systems. The techniques mostly involve structured Markov chains, stochastic processes and queueing theory.
  2. Information theory: this area focuses on a number of fundamental communication models and consists mostly in the design and analysis of multiple access algorithms.
  3. Application of modeling to networks: in this area we apply existing modeling techniques to gain new insights into the operation of existing or new communication systems. Examples of such systems include optical networks, distributed systems, access networks (e.g., EPON, wireless LANs), satellite communication, etc.
  4. Application of modeling to inventory systems: in this area we also apply existing modeling techniques that provide new insights for the design of replenishment rules in economic inventory models.
  5. Software tools: in this area we develop (MATLAB) software tools mostly related to the Modeling area mentioned above.