Our research interests are in the general areas of control, dynamics and optimization including both theory and applications, computational process modeling and simulation, and applied mathematics. The central objective of our research is the development of novel methods for the systematic and rigorous solution of complex process control and systems engineering problems. Our group has pioneered the development of nonlinear model-based control methods for broad classes of nonlinear, hybrid and distributed parameter processes and has demonstrated their successful application to complex industrial processes. Our research team is part of the UCLA Center for Systems, Dynamics and Control and of the Process Systems Engineering Group. Our research work is carried out in collaboration with experimental groups and major industrial companies.