Christos Georgakis' present research activities focus on the development of data-driven modeling methodologies with applications in both batch and continuous processes. As an initial step in this direction, Georgakis has defined a generalization of the Design of Experiments (DoE) methodology for dynamic processes, which he called “Design of Dynamic Experiments (DoDE).” He became a fellow of the American Institute of Chemical Engineers in 1998, a fellow of the American Association for the Advancement of Science in 2004, and a fellow of the International Federation of Automatic Control (IFAC) in 2007.
Professor, Department of Chemical and Biological Engineering, Tufts School of Engineering
Head, Othmer Department of Chemical and Biological Sciences and Engineering, Polytechnic Institute of New York University
Professor, Department of Chemical Engineering, Lehigh University
Professor, Measurement and Control, University of Thessaloniki
Assistant and Associate Professor, Department of Chemical Engineering, MIT
Christos Georgakis' research interests include the modeling, optimization, and control of batch processes, model predictive and nonlinear control, identification and model reduction, statistical process and controller monitoring, integration of process design and plant-wide control, and applied mathematics.