George Corliss, Ph.D.
Professor Emeritus of Electrical and Computer Engineering
Office: Haggerty Hall 296
E-mail: george.corliss@marquette.edu
Phone: (414) 288-6599
FAX: (414) 288-5579
Research interests
- Scientific computation and mathematical modeling
- Guaranteed enclosures of the solutions of ordinary differential equations
- Industrial applications of mathematics and scientific computation
- Numerical optimization
- Automatic differentiation
- High-performance computing
- Software engineering
Graduate Assistant positions available
Marquette University’s GasDay Project is seeking Graduate Research Assistants interested in graduate programs at Marquette University’s College of Engineering and in working with us on the GasDay Project.
At Marquette’s GasDay Lab we do research in system identification, time series signal processing, filtering, mathematical and statistical modeling, data mining, and forecasting, including ensemble (consensus, combining) forecasting. We leverage knowledge from mathematics, statistics, computer science, and economics in addition to traditional electrical and computer engineering fields of controls, signal processing, machine learning, and artificial intelligence. We apply our research in the natural gas distribution and transmission industries. The GasDay Project is funded by about 30 industrial companies, so you will work closely with representatives in industry. Therefore, we require students who are fluent in English. More information.
Professional preparation
Ph.D.,
1974, Michigan State University
B.A.,
1969, College of Wooster
Selected recent publications
George F. Corliss and Kaj Madsen, Second Scandinavian Workshop on Interval Methods and Their Applications, Reliable Computing, 12/2, April 2006, pp. 167 – 169.
George F. Corliss and John D. Pryce, Interval Arithmetic with Containment Sets, Computing 78(3): 251-276 (2006).
George F. Corliss, Chris Foley, and R. Baker Kearfott, Formulation for Reliable Analysis of Structural Frames, Reliable Computing, 13/2, 2005, pp. 125-147.
H. Martin Brücker and George F. Corliss, A Bibliography of Automatic Differentiation, in Automatic Differentiation: Applications, Theory, and Implementations, 2005, pp. 319 – 352.
Martin Brücker, George Corliss, Paul Hovland, Uwe Naumann, and Boyana Norris, eds., Automatic Differentiation: Applications, Theory, and Implementations, Springer Lecture Notes in Computer Science, 2005.
Contact us
