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Zhaomiao guo

Zhaomiao Guo

Assistant Professor

Phone: 407-823-6215
Office: Research I, 150J

Zhaomiao Guo is an assistant professor within the Department of Civil, Environmental and Construction Engineering and is affiliated with the Resilient, Intelligent, and Sustainable Energy Systems (RISES) Cluster at UCF. Guo received his bachelor’s degree from Tsinghua University, his master’s degree from the University of California, Berkeley, and his doctoral degree in transportation system engineering from the University of California, Davis. Guo’s research centers around resilient and intelligent critical infrastructure systems, with a specific emphasis on the coupled transportation and energy systems with emerging technologies such as electric vehicles, ride sharing, renewable distributed energy resources, etc. His scholarly endeavors have garnered support from esteemed organizations including the U.S. National Science Foundation, the U.S. Department of Energy, the U.S. Department of Transportation University Transportation Centers, and the Florida Department of Transportation. Notably, he received the NSF CAREER Award in 2023.

  • Decentralized optimization
  • Resilient and sustainable
  • Infrastructure systems
  • Information system design
  • Electric vehicles integration
  • Machine learning applications
  • Baghali, S., Guo, Z., Deride, J., & Fan, Y. (2023). Intermediate service facility planning in a stochastic and competitive market: Incorporating agent-infrastructure interactions over networks. Transportation Research Part C: Emerging Technologies154, 104242.
  • Afifah, F., Guo, Z., & Abdel-Aty, M. (2023). System-level impacts of en-route information sharing considering adaptive routing. Transportation Research Part C: Emerging Technologies149, 104075.
  • Alam, M. R., & Guo, Z. (2023). Co-optimization of charging scheduling and platooning for long-haul electric freight vehicles. Transportation Research Part C: Emerging Technologies147, 104009.
  • Baghali, S., Guo, Z., Wei, W., & Shahidehpour, M. (2022). Electric vehicles for distribution system load pickup under stressed conditions: A network equilibrium approach. IEEE Transactions on Power Systems38(3), 2304-2317
  • Afifah, F., & Guo, Z. (2022). Spatial pricing of ride-sourcing services in a congested transportation network. Transportation Research Part C: Emerging Technologies142, 103777.
  • Siddique, C., Afifah, F., Guo, Z., & Zhou, Y. (2022). Data mining of plug-in electric vehicles charging behavior using supply-side data. Energy Policy161, 112710.
  • Guo, Z., Afifah, F., Qi, J., & Baghali, S. (2021). A stochastic multiagent optimization framework for interdependent transportation and power system analyses. IEEE Transactions on Transportation Electrification7(3), 1088-1098.
  • Guo, Z., Zhou, Z., & Zhou, Y. (2019). Impacts of integrating topology reconfiguration and vehicle-to-grid technologies on distribution system operation. IEEE Transactions on Sustainable Energy11(2), 1023-1032.
  • NSF CAREER Award 2023
  • Transportation Research Board
  • Institute of Electrical and Electronics Engineers
  • Power and Energy Society
  • Institue of Industrial and Systems Engineers


  • UCF RISES faculty cluster
  • Argonne National Laboratory Associate
  • TTE 3810: Highway Engineering
  • CGN3405: Numerical Methods
  • CGN5617: Infrastructure System Optimization
  • TTE6668: Transportation Networks