Asterisks indicate an author is/was a graduate (*) or undergraduate (**) researcher in INSPIRE Lab.

(2019). Impacts of Integrating Topology Reconfiguration and Vehicle-to-Grid Technologies on Distribution System Operation. IEEE Transactions on Sustainable Energy.


(2017). Contingency-Constrained Unit Commitment With Intervening Time for System Adjustments. IEEE Transactions on Power Systems.


(2017). Dynamic Distribution Network Reconfiguration Considering Travel Behaviors and Battery Degradation of Electric Vehicles. IEEE Power & Energy Society General Meeting.

(2016). Infrastructure Planning for Fast Charging Stations in a Competitive Market. Transportation Research Part C: Emerging Technologies.


(2012). Estimating Traffic Speed with Single Inductive Loop Event Data. Transportation Research Record: Journal of the Transportation Research Board.


Agnet-base Simulation for Complext Infrastructure Systems

Due to an increasing connectivity, interdependence, and complexity of infrastructure systems, an analytical model may not be feasible to reflect the interactions within/between systems. As an alternative, agent-base modeling is found to be effective to capture complicated agent interactions and visualize system dynamics, especially with increasing data availability. This project develops an agent-base modeling platform to capture the interactions between key decision makers in transportation and power systems, including drivers, households and infrastructure investors, and simulate their decision making over both short-term and long-term horizon. This platform has broad applications in the study of EV charging, ride-sharing and power-transportation interdependency.

Cascading Failures and Robust Planning/Operation of Power System

Cascading failures have become one of the biggest challenges for increasingly connected infrastructure systems, such as power network. This project investigates effective and robust planning and operation strategies for power system considering the possibility of cascading failures.

Charging Infrastructure Evolvement in a Competitive Market

Charging infrastructure is a critical element for the success of transportation electrification. But charging infrastructure is not developed by a single central planner. This project investigates the potential evolvement of PEV charging infrastructure in a competitive market.

Data Analytics in Transportation System

Data has arguably become one of the most powerful tools to understand system in a timely fashion. In transportation, multiple data sources (e.g. social media, transaction, economics, sensors, etc.) have become readily available. This project collects and analyzes large-scale transportation data, including vehicle market value, on-demand transportaiton service, travel survey, and charging data.

Interdependency of Power and Transportation

Power and transportation networks have various similarity and interdependency. This project looks at different linkages between these two critical infrastructure systems, including methodological and functional aspects


University of Central Florida

  • TTE 3810: Highway Engineering (Fall 2018)

University of California Davis

  • ECI 16: Spatial Data Analysis (Spring 2016)
  • ECI 253: Dynamic Programming and Multi-stage Decision Processes (Spring 2015)
  • ECI 153: Introduction to Operations Research (Fall 2014)


Chuang Hou

Visiting Scholar

Fatima Afifah

Graduate Researcher

Kyle Cooke

Undergraduate Researcher

Sean Morrisey

Undergraduate Researcher

Lab News

More Posts

Dr. Guo will present two of his work on renewable generator planning and EV charging incentive design considering transportationa and power interdependency at INFORMs 2019 in Seattle.


New publication in value of autonomous electric vehicles on power distribution network operation considering dynamic distribution network reconfiguration, travel behaviors, and existence of renewable energy. Access Link


Dr. Guo will have two presentations at IISE Annual Conference 2019 in Orlando, FL. He will present his work on Competitive Intermediate Facility Location Problems under Traffic Equilibrium on May. 19, 2019, and his work on Interdependence between Transportation and Power Systems, beyond Electric Vehicles on May. 20, 2019.


Dr. Guo will present his work on a stochastic general equilibrium approach on market-based facility infrastructure development on Mar. 22, 2019 at USF.