معرفی
Charles D. Nicholson is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Oklahoma's Gallogly College of Engineering. He serves as Director of the Data Science and Analytics Institute, leading interdisciplinary efforts in community resilience and predictive modeling. Nicholson holds a Ph.D. in Operations Research from Southern Methodist University and dual B.S. degrees in Physics and Mathematics from the University of North Texas.
His research focuses on optimizing disaster mitigation strategies through systems engineering and data science. Key areas include enhancing community resilience against natural hazards, improving public health practices (domestically and internationally), and securing national supply chains. Methodologically, his work integrates metaheuristics, predictive modeling, and network analysis.
Recent research trends show strong emphasis on:
- Covid-19 forecasting with county-level clustering
- Flood-resilient infrastructure design
- Causal discovery methods for root cause analysis
- Multi-objective optimization for building mitigation
He received the 2017 Teaching Scholars Award from the Gallogly College. Nicholson advises the Data Science and Analytics Student Organization and chairs the Institute's Executive Committee. His work bridges academic research with real-world impact through collaborations with government agencies and industry partners.
Notable contributions include:
- Developing resilience frameworks for cyber-physical-social systems
- Advancing hurricane impact prediction models
- Optimizing maritime supply chain recovery strategies
Labs/Teams: Leads the Data Science & Analytics Institute's research initiatives focusing on complex systems analysis and decision support systems.
