CV

A PDF version of this CV is also available for download.

Education

Durham University — PhD in Electrical Engineering, 2022 – 2026

• Thesis: Adaptive Event Detection and Fault Classification for Microgrids under Grid-Following-to-Grid-Forming Transition (submitted March 2026)
• Supervisor: Prof. Hongjian Sun

The University of Manchester — MSc in Renewable Energy and Clean Technology, 2017 – 2018

• Degree Classification: Merit

University of Liverpool & XJTLU — BEng in Electrical and Electronic Engineering (2+2 Joint Programme), 2013 – 2017

• Degree Classification: Upper Second-Class Honours (2:1)

Professional Experience

Chinese Academy of Sciences, Beijing, China — Visiting Researcher (Jan – Jun 2025)

• Secondment under the EU Horizon 2020 MSCA-RISE TESTBED2 programme with Prof. Wei Pei's group at the Institute of Electrical Engineering, CAS.
• Refined grid-forming VSC simulation models and voltage-regulation dynamics through technical exchange with CAS researchers.
• Co-authored a conference paper on dynamic microgrid control with BESS, presented at IEEE ICGEA 2025, Singapore.

State Grid Corporation of China — Dispatch Centre, Yinchuan, China — Grid Dispatch Engineer (2019 – 2021)

• Operated real-time dispatch for Ningxia's provincial grid (56–60 GW installed capacity), coordinating ~30 GW thermal, 14 GW wind and 12 GW solar generation.
• Managed renewable dispatch scheduling for a 43–44% renewable-penetration system (ranked 3rd nationally), contributing to a 97.6% new-energy utilisation rate (1st in Northwest China).
• Coordinated cross-provincial power exports via ±660 kV and ±800 kV UHVDC corridors (12 GW combined), delivering 80–90 TWh/year to Shandong and Zhejiang.
• Supported grid balancing during high-renewable events when instantaneous renewable output exceeded 59% of total grid load.

Research Projects

TESTBED2 — EU Horizon 2020 MSCA-RISE, Durham University, Mar 2022 – Mar 2025 Testing and Evaluating Sophisticated ICT for Enabling Scalable Smart Grid Deployment

• Developed GFM/GFL inverter control models for microgrid and distributed-generation applications in MATLAB/Simulink and PSCAD/EMTDC.
• Designed adaptive disconnection criteria for seamless GFM/GFL mode transitions, validated under IEEE 1547 test scenarios.
• Investigated optimal energy management strategies for hybrid AC microgrids with battery energy storage.
• Contributed to project deliverables with 8 international academic and industrial partners.

Conference Presentations

• Oral: Dynamic Control of Microgrids with BESS: Grid-Forming and Grid-Following Modes with Adaptive Disconnection Criteria, 9th Int. Conf. on Green Energy and Applications (ICGEA), Singapore — Mar 2025.
• Oral: Grid-Forming and Grid-Following Control Strategies for Converter-Dominated Microgrids, Int. Conf. on Green Energy and Resources (ICGER), Shandong University, China — Aug 2025.

Professional Development

• Imperial College London — Summer School, Inverter-Based Resources Dominated Power Systems, Sep 2024.

Technical Skills

• Simulation Tools: MATLAB / Simulink, PSCAD / EMTDC, RTDS (hardware-in-the-loop), Simscape Electrical
• Programming: Python (data analysis, optimisation), C++, MATLAB
• Power Electronics & Control: VSC modelling and control, grid-forming / grid-following inverters, power system stability analysis
• Microgrids & Energy Systems: Microgrid energy management, battery energy storage systems, renewable energy integration
• Grid Operations: AC network modelling, grid dispatch operations, load balancing
• AI-Assisted Research Workflow: Claude Code, GitHub Copilot, Cursor for LLM-assisted MATLAB / Python scripting and simulation post-processing; prompt engineering for reproducible research automation
• Productivity: LaTeX, Zotero, Git
• Languages: English (fluent), Mandarin (native)

Referees

Prof. Hongjian Sun — Professor, Director of Research; Chair in Smart Grid; Editor-in-Chief, IET Smart Grid. Department of Engineering, Durham University. hongjian.sun@durham.ac.uk

Dr Mahmoud Shahbazi — Associate Professor, Deputy Director of Research; Node Leader, Electrical Power. Department of Engineering, Durham University. mahmoud.shahbazi@durham.ac.uk