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Charles D. Nicholson

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Charles D. Nicholson

Associate Professor

Contact Information

Office: CEC 116-H
Phone: (405) 325-3721

Ph.D., Operations Research, Southern Methodist University 
M.S., Decision Technologies, University of North Texas
B.S., Physics, University of North Texas
B.S., Mathematics, University of North Texas

Charles Nicholson received his doctorate in Operations Research from Southern Methodist University in Dallas, TX specializing in optimization of network flow problems.   He also holds a Master’s of Science in Decision Technology and undergraduate degrees in Mathematics and Physics from the University of North Texas.  He joined the faculty of the School of Industrial and Systems Engineering at the University of Oklahoma in 2013 where his research and teaching emphasis is in the field of Analytics.  

Prior to accepting the faculty appointment, Dr. Nicholson was the director of analytics for a multi-billion dollar company and later, the founder of his own analytics consulting company.  His professional background includes 10 years of experience working as a leader in predictive analytics.  He has real-world experience working with large, complex data and collaborating with cross-functional teams to discover and deploy strategic, data-driven insights.  His portfolio of projects includes data-mining and predictive modeling, simulation and optimization, and business intelligence with applications in marketing, finance, Geographic Information Systems, product allocation, and operations.  

Currently, Dr. Nicholson’s research focus is in the development and application of statistical and machine learning algorithms that improve the speed, efficiency, and quality of insight from analytics on large data systems.  Dr. Nicholson’s work has been published in the INFORMS Journal on Computing, Computers and Industrial Engineering, Reliability Engineering and System Safety, and Sustainable and Resilient Infrastructure.

Operations research/management science
Mathematical programming
Metaheuristic and evolutionary search
Network Flows
Applications of data mining