Ge Guo, Ph.D.
Assistant Professor
Department of Information Systems and Decision Science
Office: Business Center 475
Phone: 410.837.5107
E-mail: cguo@ubalt.edu
Education:
- Ph.D., Iowa State University
- B.S., Texas A&M University
- D.B.A., Beijing Institute of Graphic Communication,
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Bio
Assistant Professor Claire Guo received her Ph.D. in Operations Research and Statistics from Iowa State University and worked as a postdoc associate at Cornell University before joining UB in 2019.
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Research Interests
Mathematical Optimization of Power Systems and Manufacturing Systems
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Teaching Interests
Decision Science, Operations Research, Statistics
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Recent Publications
Intellectual Contributions
Refereed Journal Articles
Guo, G. C. (2018). Resilience enhancement of distribution grids against extreme weather events. IEEE Transactions on Power Systems.
Guo, G. C. (2017). Persona Development for Factory Floor Decision Support. IISE Annual Conference Proceedings.
Guo, G. C. (2017). Risk-Averse Stochastic Integer Programs for Mixed-Model Assembly Line Sequencing Problem. IISE Annual Conference Proceedings.
Hackebiel, G., & Ryan, S. (2015). Integration of Progressive Hedging and Dual Decomposition in Stochastic Integer Programs. Operations Research Letters. 43(3),
Conference Proceedings
Wang, Z., & Guo, G. C. (2019). Simulation Case Studies on Period Optimal Power Flow. 2019 Winter Simulation Conference. 3669-3680.
Presentations
Guo, G. C. INFORMS Annual Meeting, "Multistage Risk-Averse Stochastic Mixed-Integer Programming for Mixed-Model Assembly Line Sequencing," Phoenix, AZ. (2018).
Anderson, L. 2018 Doctoral Consortium on Computational Sustainability, "Solution Algorithms for Chance-Constrained Unit Commitment Problems with Stochastic Wind Energy," Ithaca, NY. (2018).
Guo, G. C. INFORMS Annual Meeting, "Lower Bounding Approach for Time Consistent Risk-Averse Stochastic Mixed-Integer Optimization," Houston, TX. (2017).
Ryan,, S. Iowa State University Fall 2017 Graduate Seminar Series, "Lower Bounding Approach for Time Consistent Risk-Averse Stochastic Mixed-Integer Optimization," Ames, IA. (2017).
Guo, G. C. INFORMS Annual Meeting, "Obtaining Lower Bounds for Conditional Value-at-Risk Optimization in Stochastic Integer Programs," Nashville, TN,. (2016).