CV
Education
University of Denver, PhD Candidate, Electrical and Computer Engineering, September 2022 to Present, Expected graduation June 2026
• Doctoral dissertation: Comprehensive voltage regulation and unbalance mitigation for distribution networks with distributed energy resources
• Research areas: Optimization, optimal power flow, distributed energy resources, reinforcement learning integrated with optimization models
Wuhan University, PhD, Electrical Engineering, September 2018 to June 2024
• Doctoral dissertation: Key technologies of electrical multimodal data fusion and applications in icing perception of power transmission lines
• Research focus: machine learning and artificial intelligence based data fusion and power system security analysis
Wuhan University, Master of Science, Electrical Engineering, September 2018 to June 2020
• Master’s thesis: Insulator icing grade perception method based on heterogeneous multi-parameter fusion
• Research focus: big data, random matrix theory, free probability and machine learning based power system monitoring and analysis
Hefei University of Technology, Bachelor of Science, Power Systems and Automation, September 2014 to June 2018
• GPA 3.76 out of 4.00, Rank 4 of 180, top 2 percent
• Exempted from postgraduate entrance examination
• Bachelor’s thesis: Abnormal state recognition and localization based on big data in distribution networks
Research Experience
1 Full time Graduate Services Assistantship Scholarship, University of Denver, September 2025 to June 2026
• Developing a hybrid reinforcement learning and optimization framework decomposing multi period optimal power flow into an integer decision layer and a continuous solver layer for scalable battery energy storage scheduling
• Proposing an optimization framework for electric vehicle energy management integrating reinforcement learning based charging and discharging with network constrained optimal power flow
• Exploring large language models and graph neural networks for topology aware learning and AI assisted power system planning
2 Research Intern, National Renewable Energy Laboratory, February 2024 to September 2024
• Developed and analyzed dynamic models of grid forming and grid following inverter control schemes using PSCAD
• Conducted parametric studies linking controller parameters with voltage and frequency stability performance
• Validated inverter models using field tested photovoltaic data
3 Comprehensive Multi type Resource Modeling and Closed Loop Optimization
University of Denver and Eaton Company, June 2024 to July 2025
• Formulated a Pyomo based optimization model coordinating legacy voltage regulation devices and IEEE 1547 compliant inverter functions in unbalanced distribution networks
• Developed a Python API for automated data exchange between CYME and optimization platforms
• Designed a closed loop framework integrating Pyomo optimization with CYME simulation
4 Icing Detection of Power Grids Based on Multi source Data
Wuhan University and State Grid Corporation of China, January 2022 to June 2023
• Aligned and labeled multimodal datasets including images and sensor time series
• Proposed a deep learning based multimodal fusion method addressing data imbalance and cross modality correlation
• Implemented models using Python and TensorFlow
5 Abnormal State Monitoring of Distribution Networks
Wuhan University and China Southern Power Grid, December 2017 to June 2019
• Proposed fault detection and localization methods based on random matrix theory and PMU measurements
• Developed a data driven PMU optimal configuration strategy
• Conducted simulations using PSCAD and MATLAB
Working Experience
• Full time Graduate Services Assistantship Scholarship, University of Denver, September 2025 to June 2026
• Research Intern, National Renewable Energy Laboratory, February 2024 to September 2024
• Full time Graduate Service Assistant, University of Denver, September 2022 to June 2025
Research Interests
• Optimal power flow, multi timescale grid optimization, voltage regulation
• Hybrid reinforcement learning and mathematical optimization in power systems
• Multimodal data fusion and data driven grid monitoring
• Distributed energy resources and inverter based grid support
• Machine learning, large language models, and artificial intelligence for power system decision support
Honors and Awards
• First class Scholarship, Wuhan University, 2019 and 2021
• Second class Scholarship for New Graduate Students, Wuhan University, 2020
• Social Endowment Scholarships, Wuhan University, 2021 and 2022
• Second Prize, China Graduate Mathematical Contest in Modeling, 2021 and 2022
• Third Prize, National English Competition for College Students, 2019
• Excellent Graduate Award, Wuhan University, 2020
• Excellent Graduate Award, Hefei University of Technology, 2018
Teaching Experience
Graduate Service Assistant, University of Denver, September 2022 to June 2025
Courses supported include Introduction to Power Systems, Engineering Probability, Renewable and Efficient Energy, Circuits, Electronics, and Microprocessors, work includes:
• Homework grading and feedback
• Project and assignment design assistance
• Slide preparation and quiz development
Mentoring Experience
• Mentored an undergraduate student from Xi’an Jiaotong University on random matrix theory applications in power systems, October 2021 to April 2022
• Resulting work published in a Q2 journal
Standards Activities
• Contributor to ITU T Supplement to Y.4563 on Data Interoperability Use Cases in the Internet of Things
• Participated in multiple ITU plenary and rapporteur meetings with technical writing and presentations
Skills
• Programming: Python, MATLAB, Pyomo, TensorFlow, PyTorch
• Power system simulation: PSCAD, CYME
• Methods: Optimal power flow modeling, reinforcement learning, random matrix theory, multimodal data fusion, optimization
Professional Service
Editorial Roles
• Guest Editor, Energies, Special Issue on Big Data Analysis and Application in Power Systems, 2025
• Guest Editor, Inner Mongolia Electric Power Technology, Special Issue on Intelligent Power Transmission, 2025
Reviewer
• IEEE Transactions on Smart Grid
• IEEE Transactions on Power Systems
• IEEE Transactions on Sustainable Energy
• Journal of Modern Power Systems and Clean Energy
• Energies