Ronald H. Brown, Ph.D.

Name

Associate Professor, Director of Center for Intelligent Systems, Controls, and Signal Processing, and Director of The GASDAY Project Electrical and Computer Engineering
Olin Engineering 534B
(414) 288-3501
ronald.brown@marquette.edu
Complete CV


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 and how to apply.

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

Babatunde Ishola, George F. Corliss, Richard J. Povinelli, and Ronald H. Brown. "Identifying Extreme Cold Events Using Phase Space Reconstruction." International Journal of Applied Pattern Recognition (IJAPR), vol. 3, no. 3, pp. 259-275, 2016.

Ronald H. Brown, Steven R. Vitullo, George F. Corliss, Monica Adya, Paul E. Kaefer, and Richard J. Povinelli. “Detrending Daily Natural Gas Consumption Series to Improve Short-Term Forecasts,” IEEE Power and Energy Society General Meeting, (Denver, CO), July 2015.

Paul Kaefer, Babatunde Ishola, Ronald H. Brown, and George F. Corliss, “Using Surrogate Data to Mitigate the Risks of Natural Gas Forecasting on Unusual Days,” 35th International Symposium on Forecasting, (Riverside, CA), June 2015, link.

Ronald H. Brown, Paul E. Kaefer, Calvin R. Jay, and Steven R. Vitullo, “Forecasting Natural Gas Design Day Demand from Historical Monthly Data,” Pipeline Simulation Interest Group, PSIG 2014, (Baltimore, MD), May 2014.

Steven R. Vitullo, George F. Corliss, Monica Adya, Farrokh Nourzad, and Ronald H. Brown, “Disaggregation of Energy Consumption Data Using Correlated Variables,” Canadian Applied Mathematics Quarterly, vol. 21, no. 3, Fall 2013.

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://epublications.marquette.edu/electric_fac/157/, 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://epublications.marquette.edu/electric_fac/157/, 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.

Student studying on campus

Overview

Electrical engineers work on the generation, transmission and distribution of electricity and how we use it. Computer engineers design and build the hardware and software that run our global marketplace. Think about the gadgets you plug into on a daily basis. How many of them are powered by electricity or computer technology?

Apply: Undergraduate

Apply: Graduate

Advisory Board

Co-op and Internship

Faculty and Staff



Contact

Dean's office: (414) 288-6591
Prospective students: (414) 288-7302
General information: (414) 288-7080

College administration staff