Welcome to the Laboratory for Stochastic Systems.
We are interested in analyzing Large-Scale Complex Systems under Uncertainty using stochastic modeling, Markov Decision Theory and Game Theory with applications in the transportation, supply chains, climate and health, production and manufacturing, and telecommunication networks.
Our current research and teaching programs focus on
the areas of modeling, optimization and control of stochastic systems, such as
transportation, telecommunication and supply chain networks. These are dynamical systems, operating under
internal and external uncertainties, which are generally considered to be
large-scale and complex. We are interested in developing new models that will
realistically represent complex phenomena such as congestion; traffic flow
randomly interrupted by incidents; or retailer’s behavior when selling
substitutable products. We are also interested in developing optimization
algorithms for adjustment of inventories in supply chains, for incident
response and resource allocation in incident and emergency management, for
dynamic traffic flow management under incidents, and for stochastic games.
Melike Baykal-Gursoy, Ph.D.
Associate Professor
Industrial
and
Director, Laboratory for Stochastic Systems
Phone: (732)445-5465
E-mail: gursoy@rci.rutgers.edu
Web-site: rci.rutgers.edu/~gursoy