Modeling and optimization of complex systems using mathematical programming methodologies. Target applications include integration, planning and scheduling of renewable energy systems, process synthesis, planning and scheduling of chemical engineering systems, and path planning of underwater autonomous vehicles. Development of combinatorial optimization models, continuous optimization models, deterministic global optimization solution approaches, stochastic programming models, and decomposition algorithms to solve large-scale problems. Special interest in optimization problems under uncertainty.
Keywords: Renewable Energy, Chemical Engineering, Optimization, Uncertainty, Computer Science, Operations Research, Process Design and Synthesis, Planning, and Scheduling.