Currently a Research Professor, working at the Intelligent Coordination and Logistics Laboratory. Main research direction involves next-generation technologies for practical planning and scheduling, including algorithms for constructing robust plans and schedules, addressing over-subscribed planning and scheduling problems, and analyzing the planning/scheduling search space under complex constraints.
Background
Research interests are in artificial intelligence, primarily in the areas of constraint-based search and optimization, automated planning and scheduling, configurable and adaptive problem solving systems, multi-agent and multi-robot coordination, mixed-initiative decision-making, and naturally inspired search procedures. A particular focus has been on developing core technologies for coordination and control of large-scale, multi-actor systems, with applications spanning transportation, manufacturing, logistics, mission planning, and energy systems.