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Zekun Guo
Lecturer in AI for Engineering, University of Hull | Founder of Energentic AI | Seconded Researcher at the University of Birmingham | RAEng Global Talent Awardee | Autonomous LLM Agents
Welcome to my personal website!
I am a Lecturer at the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) at
University of Hull,
serving as Postgraduate Research Director.
I earned my PhD from Brunel University of London in September 2023. I also hold an MRes in Energy Systems (2019) from
The University of Edinburgh and a BEng in Energy and Environmental System Engineering (2018) from Shandong University.
I am leading the MSc Artificial Intelligence for Engineering variant programme.
As part of this programme, I developed its core module, AI-Driven Optimisation and Control, integrating cutting-edge AI technologies into engineering practices to solve real-world industrial challenges.
I am leading Energentic AI, a platform pioneering modular Agent-as-a-Service solutions for forecasting, optimisation, and control in energy systems. Our mission is to empower developers and energy companies with intuitive, AI-enhanced tools that streamline real-time decision-making, improve system transparency, and enable scalable automation.
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- Transportation Electrification
- Power System Stability and Resilience
- Artificial Intelligence Applications in Electrical Engineering
- Artificial Intelligence Driven Control for Offshore Renewable Energy
- Large Language Model (LLM) Multi Agent System
If you are interested in conducting research with me, please visit this Google Doc link, where I will share some topics I am interested in pursuing.
Feel free to reach out to me with a message like, "Hi, I am interested in [topic name], let's collaborate!".
For undergraduate and postgraduate students, it is never too early to reach out. You will have the opportunity to work on meaningful research projects with us, co-author publications, and enhance your employability and increasing your chances of securing a PhD studentship.
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Net-Zero Emissions Aviation: Developing Hydrogen Energy Infrastructure at Airports
Funder: IGNITE Network+ Flexible Fund
Grant: ~£60,000, March 2025 - March 2026
Project Leads: Dr Zekun Guo (University of Hull), Dr Tongtong Zhang (University of Birmingham), Dr Yihuai Zhang (University of Glasgow)
Learn More
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Modelling Hydrogen and Electric Demand at Airports for UK Decarbonised Aviation
Funder: HI-ACT Flexible Fund
Grant: £10,835, Mar 2025 - June 2025
Project Lead: Dr Zekun Guo (University of Hull)
Secondment Host: Prof Sara Walker, Birmingham Energy Institute, University of Birmingham.
Learn More
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Energentic: AI-Driven Agentic Energy Management for Battery Storage Systems
Funder: Innovate UK
Grant: 2,500, June 2025 - August 2025
Entrepreneurial Lead: Dr Zekun Guo (University of Hull)
Technology Transfer Officer (TTO): Snehal Kadam
Principal Scientific Advisor (PSA): Prof Kevin Pimbblet
Learn More
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Can Large Language Model Agents Balance Energy Systems?
arXiv:2502.10557, 2025
We integrate LLMs with a multi-scenario SUC framework to improve efficiency and reliability under high wind uncertainties. Experiments show that the approach cuts costs and load curtailment.
arXiv · GitHub
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SimuGen: Multi-modal Agentic Framework for Constructing Block
Diagram-Based Simulation Models
arXiv:2506.15695, 2025
We propose SimuGen, a multimodal agent framework that enables accurate and interpretable Simulink code generation by combining visual diagrams with domain-specific expertise.
arXiv · GitHub
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Bridging Minds and Machines: Agents with Human-in-the-Loop – Frontier Research, Real-World Impact, and Tomorrow’s Possibilities
Bridging Human Expertise and AI Autonomy in Multi-Agent Systems
Authors: Xiaotian Jin, Zekun Guo, Puzhen Zhang, Shuo Lu, Weisi Dai, Nujibieke, Lanping Guo, Wendong Fan, Guohao Li, 2025
Blog Link
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Agentic AI Energy Management: LLM-Enhanced
Decision-Making in Battery Energy Systems
AI Agent for Energy Management through Rolling-Horizon Decision-Making
Presenter: Zekun Guo, 2025 @SuperAIRE ECR Workshop, Sheffield
Slides
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I teach or have taught the following modules for MSc Data Science and Artificial Intelligence at postgraduate levels:
- Applied Artificial Intelligence (Module 771767)
- Research and Application in AI and Data Science （Module 771765）
- MSc Research Project (Module 771764)
I will also design and teach the core module of MSc Artificial Intelligence for Engineering variant programme:
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