Research

My research focuses on operations research, game theory, machine learning with applications to resource allocation, operational, and management problems in the smart green infrastructure.

Intelligent Transportation System

  • EV charging scheduling in urban areas

  • Highway EV charging planning

Smart Grid & Microgrid


  • Dynamic pricing-driven demand response for charging stations

  • V2G-based energy management

Smart City


  • Logistics vehicle operations

  • AnyLogic: EV dynamic charging scheduling and simulation

Intelligent Manufacturing system

  • AGV system layout design

  • RFID sensor deployment

  • Real-time scheduling system for AGV


Low-Carbon Infrastructure Design, Planning and Management Vancouver, Canada

MéridaLabs (Dr. Walter Mérida), Department of Mechanical Engineering Jan. 2021- Present


  • Integrated system planning, market design and optimization framework development for the next generation of hydrogen energies and charging/refueling infrastructure

  • Autonomous vehicle scheduling and operations, demand response programs, grid-interactive transportation in the smart city

  • Hydrogen supply chain planning and policy evaluation for heavy-duty transport in British Columbia

  • Energetic modeling of the car-sharing fleet, and collection and management of real time or offline data

  • Machina Economicus paradigm and practices involve operations research, reinforcement learning-based mechanism design, machine Learning

Electric Vehicle (EV) Charging Scheduling in Smart Infrastructure Montréal, Canada

Lab of Distributed System Engineering (Dr. Chun Wang)

Lab of Cyber-Physical Systems & Security (Dr. Jun Yan) Sep. 2016 - Dec. 2020


  • Operations research, game theory, and reinforcement learning with applications to market-based EV charging scheduling

  • Mathematical modelling for EV charging scheduling problems by CPLEX: mixed-integer linear programs

  • Auction mechanism design for charging scheduling: iterative bidding; incentive-compatible auction, simultaneous multi-round auction

  • Dynamic auction design and scheduling algorithm for EV charging: Java CPLEX API

  • Reinforcement learning-based mechanism design for pricing-driven demand response of EVs in microgrids: reinforcement mechanism design, multi-agent reinforcement mechanism design

  • AnyLogic simulation: multiple EVs charging scheduling in urban areas

Coordinated Planning and Scheduling for Intelligent Manufacturing Systems Dalian, China

Institute for Engineering Machinery (Dr. Yanjun Shi) Sep. 2013 - Jun. 2016


  • Design, optimization, and coordination of manufacturing system in multi-agent environments

  • Mathematical programming for layout and planning and RFID sensor deployment of tandem Automatic Guided Vehicle (AGV) systems and plant logistics systems

  • Methodology: co-evolutionary optimization framework, exact optimization, meta-heuristic algorithms, and surrogate model

  • iSight united simulation: integration of MATLAB and ANSYS for multi-objective optimization on parameters of gas turbine

  • AGV system: data management for integrated navigation control, real-time scheduling for AGVs