Our projects focus on the modeling, design, analysis, performance evaluation, control, and optimization of a variety of discrete event and hybrid systems. Through data analysis and modeling, we study the expected changes to the performance metrics of the Discrete Event or Hybrid System over time. Then we apply Control and Optimization to obtain better performance. We work on a variety of Communication and Sensor Networks, Manufacturing and Supply Chain, Transportation Networks, and Multi-Agent Systems.
Research
Discrete Event and Hybrid Systems
Much of the technology we rely on (digital computers) is event-driven. Not only must these systems act as “event coordinators”, but they are also expected to swiftly react to unpredictable events, rapidly adapt to changing conditions, and guarantee their users satisfactory – if not optimal – performance. Read more…
Smart Cities
There are 28 mega-cities (with >10M people) worldwide, accounting for 22% of the world’s urban population, projections indicate more than 41 mega-cities by 2030. The management and sustainability of urban areas have become one of the most critical challenges our societies face today. Read more…
Intelligent Transportation Systems
Among the many functions a city supports, transportation dominates in terms of resource consumption, the strain on the environment, and the frustration of its citizens. Read more…
A team of autonomous agents cooperating to carry out complex tasks within a given environment that is potentially highly dynamic, hazardous, and even adversarial. Read more…
The availability of ever-increasing amounts of data from multitudes of sources is rapidly transforming the way we approach control and optimization problems. Read more…