Ge Guo, Ph.D.
Assistant Professor
Dean Clifford C. James Chair for Distinguished Teaching
Dean Clifford C. James Chair for Distinguished Teaching
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
- M.S., Texas A&M University
- B.S., 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. She worked as a Postdoctoral Associate at Cornell University before joining UB in 2019. Dr. Guo is a Board Member for the Early Career Researcher Expert group of the Oxford Open Energy journal and serves as an Editorial Review Board Member for Production and Operations Management Journal. Dr. Guo is a recognized reviewer for many international journals and conference proceedings including Annals of Operations Research, Computers and Operations Research, and SN Business & Economics.
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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. (2021). Chance Constrained Unit Commitment Approximation under Stochastic Wind Energy. Computers & Operations Research. 134.
Zephyr, L., & Guo, G. C. (2021). Robust chance constrained unit commitment under wind energy penetration. HICSS Proceedings.
Guo, G. C. (2021). Sequencing mixed-model assembly lines with risk-averse stochastic mixed-integer programming. International Journal of Production Research.
Guo, G. C. (2018). Resilience enhancement of distribution grids against extreme weather events. IEEE Transactions on Power Systems.
Conference Proceedings
Wang, Z., & Guo, G. C. (2019). Simulation Case Studies on Period Optimal Power Flow. 2019 Winter Simulation Conference. 3669-3680.
Research Report
Zhang, T., Xiu, L., Chen, D., Guo, G. C., & . (2022). Maryland Family and Medical Leave Insurance (FAMLI): Five Independent and Inter-related Analytical Studies. Jacob France institute & Maryland Legislative Library & Maryland Department of Labor.
Presentations
Guo, G. C. 50th Annual Northeast Business and Economics Association (NBEA) Conference, "Resilient Optimization of Supply Chain Network under COVID-19 Pandemic Disruptions," (2023).
Guo, G. C. 60th annual Canadian Industrial Relations Association (CIRA) conference, "Paid Family and Medical Leaves (PFML) and Labor Market Implications in the US," Canadian Industrial Relations Association, Toronto, Canada. (2023).
Guo, G. C. 2023 University of Baltimore RED Talks, "Stochastic optimization of supply chain resilience under COVID-19 pandemic disruptions," RLB Library, the Research Council and the Office of Sponsored Research, 12th Floor of the Law School building. (2023).
Guo, G. C. 2022 Hawaii International Conference on System Sciences, "Robust Approximate Chance Constrained Unit Commitment Under Wind Penetration," Virtual. (2022).
Guo, G. C. ECE Department & Eversource Energy Center at University of Connecticut, "Chance Constrained Unit Commitment Approximation Under Uncertain Wind Energy," University of Connecticut, Virtual. (2021).
Guo, G. C. 2020 INFORMS Annual Meeting, "chance constrained unit commitment with renewable energy," Virtual. (2020).
Guo, G. C. 2018 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).
Contracts, Grants and Sponsored Research
Zhang, Ting Claire, Zhang, Ting , "Resilient Optimization of Supply Chain Network under COVID-19 Pandemic Disruptions" Sponsored by University of Baltimore, The University of Baltimore, $5000. (2023 - 2024).
Guo, Ge Claire(Co-Principal), "Maryland Family and Medical Leave Insurance (FAMLI): Five Independent and Inter-related Analytical Studies" Sponsored by Maryland Department of Labor, State, (2022).
Research in Progress
"Optimal Tax Rate and Cost-sharing Formula for Paid Family and Medical Leaves" (Planning)
"Paid Family and Medical Leaves (PFML) and Labor Market Implications in the US" (On-Going)
"Stochastic optimization of supply chain resilience under COVID-19 pandemic disruptions" (On-Going)