Ronald H. Brown, Ph.D.
Associate Professor, Director of Center for Intelligent Systems, Controls and Signal Processing and Director of The GASDAY Project Electrical and Computer Engineering
Office: Olin 534B
E-mail: ronald.brown@marquette.edu
Phone: (414) 288-3501
FAX: (414) 288-5579
Research interests
- Systems and controls, intelligent controls
- Adaptive controls identification, prediction and filtering
- Artificial neural networks
- Genetic algorithms
- Time-series modeling
- Ensemble modeling in identification in controls and predictions
- Applications of systems and controls in distribution and transmission of natural gas and energy forecasting
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., 1986, Electrical Engineering, University of Illinois at Urbana-Champaign
M.S.,
1977, Electrical Engineering, University of Wisconsin - Madison
B.S.,
1976
, Electrical Engineering, University of Illinois at Urbana-Champaign
Selected recent publications
S. R. Vitullo, R. H. Brown, G. F. Corliss, and B. M. Marx, “Mathematical Models for Natural Gas Forecasting,” The Canadian Applied Mathematics Quarterly, accepted for publication (February 2011).
R. H. Brown, Y. Li, B. Pang, S. Vitullo, and G. Corliss, “Detrending Daily Natural Gas Demand Data Using Domain Knowledge,” 30th International Symposium on Forecasting (San Diego, CA), June 20-23, 2010.
http://forecasters.org/isf/pdfs/ISF10_Proceedings.pdf, pg. 10.
S. Vitullo, R. Brown, M. Adya, and G. Corliss, “Disaggregating Time Series Energy Consumption Data,” 30th International Symposium on Forecasting (San Diego, CA), June 2010, http://forecasters.org/isf/pdfs/ISF10_Proceedings.pdf, pg. 44.
T. F. Quinn, R. H. Brown, and G. F. Corliss, “The GasDay Project at Marquette University: A Laboratory for Real-world Engineering and Business Experiences”, Proceedings of the 2010 ASEE North Midwest Sectional Conference, October, 2010.
R. H. Brown, G. F. Corliss, J, Fay, M. Adya, D. Clark, and F. Nourzad, “Econometric Inputs to Enhance Long-Term Natural Gas Demand Forecasting,” Gas Forecasters Forum, (Austin, TX), October 25-27, 2010.
Contact us
