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College of Engineering and Computing


Faculty and Staff

Edward P. Gatzke

Title: Associate Professor, Chemical Engineering, Biomedical Engineering
Department: Chemical Engineering, Biomedical Engineering
College of Engineering and Computing
E-mail: gatzke@sc.edu
Website: Research Group
Phone: 803-777-1159
Fax: 803-777-8265
Office:

Swearingen                                   
Room 3C05   
301 Main Street                               
Columbia, SC 29208

Professor Edward Gatzke

CV of Dr. Gatzke
Software
Teaching

Education

Ph.D., University of Delaware, 2000
B.Ch.E, Georgia Institute of Technology, 1995

Research

Dr. Gatzke's research interests are in the area of process modeling, control, and optimization. Efficient operation of chemical processes requires a fundamental understanding of dynamic and nonlinear characteristics. A variety of controller formulations can be developed to reduce product variability and improve productivity. Estimation and diagnostic methods can be used to develop process information that cannot easily be directly acquired by instrumentation. Recently, new moving horizon formulations involving unknown values taking discrete values have been proposed. These applications require online solution to constrained mixed-integer optimization problems. Ongoing research efforts include parallel programming efforts for mixed-integer optimization, including parallel nonconvex nonseparable mixed-integer outer approximation and parallel nonconvex branch-and-reduce methods. Application areas of interest include particulate processing, bio-processes, and large scale systems.

Publications

  • A. T. Stamps a and E. P. Gatzke.  "Design of Hybrid Electrochemical Devices." in Micropower Generation.  Wiley, 2009.
  • T. L. Aliyev and E. P. Gatzke. "Constrained NMPC Using Polynomial Chaos Theory." AT&P Journal, 2009, P 51-66.
  • P. K. Polisetty, E. P. Gatzke , and E. O. Voit. "Yield Optimization of Regulated Metabolic Systems Using Deterministic Branch-and-Reduce Methods." Bioengineering and Biotechnology, 2008, 99(5), 1154-1169.
  • A. T. Stamps, S. Santhanagopalan, and E. P. Gatzke.  "Using Piecewise Polynomials to Model Open-Circuit Potential Data." Journal of the Electrochemical Society.  2007, 154, P20-P27.