Faculty

Director

Dr. Christos Georgakis

• Director, Systems Research Institute
• Professor, Department of Chemical and Biological Engineering, Gordon Senior Faculty Fellow of Systems Engineering, Tufts University
• Ph.D., Chemical Engineering, University of Minnesota

Research Profile: Modeling, Optimization and Control of Batch Processes by Use of Tendency Models; Nonlinear Model Predictive Control and Identification; Statistical Process and Controller Monitoring; Interaction of Design and Control.

Affiliated Faculty at Tufts

Dr. Kyongbum Lee

• Associate Professor and Chair, Department of Chemical and Biological Engineering, Tufts University
• Ph.D., Massachussetts Institute of Technology
• B.S., Stanford University

Research Profile: metabolic engineering, tissue engineering, system biology

My research is ultimately aimed at better understanding cellular metabolism and its role in shaping biological function. Current research activities in my laboratory fall into the following thrust areas: models to understand and simulate metabolic reaction networks; methods to detect, identify, and quantify small molecule metabolites in complex biological samples; identification of enzyme targets for metabolic disease therapy; and engineering pathways for biosynthesis of complex biomolecules.

Dr. Nikhil Nair

• Assistant Professor, Department of Chemical and Biological Engineering, Tufts University

Affiliated Faculty Outside Tufts

Dr. Bhavik Bakshi

• Professor, Chemical and Biomolecular Engineering, The Ohio State University
• Ph. D., Massachusetts Institute of Technology, 1992
• MSCEP, Massachusetts Institute of Technology, 1989
• B.Chem.Eng., University of Bombay, 1986

Research Profile: Sustainability Science and Engineering, Process Systems Engineering

Dr. Dominique Bonvin

• Professor, Automatic Control Laboratory École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
• Ph.D., Chemical Engineering, University of California, Santa Barbara
• Diploma, Chemical Engineering, ETH Zurich, Switzerland

Research Profile: Modeling and System Identification, Control and Optimization of Batch Processes by Use of Tendency Models; Real-Time Optimization, Application of Chemometrics to Process Monitoring and Control.

Dr. B. Erik Ydstie

• Professor, Chemical Engineering and Electrical Engineering, Carnegie Mellon University
• Professor II, Electrical Engineering at NUST, Trondheim, Norway
• Ph.D., 1982, Chemical Engineering, Imperial College, London, UK
• B.S., 1977, Chemistry University of Trondheim, Norway

Research Profile: Dynamics and Control of Complex Process Networks; Real Time Adaptive Control and Optimization; Design and Control of Multi-Phase Reactor Systems; Design and Control of Particulate Processes