Dr Zekun Guo

Dr Zekun Guo is a Lecturer in AI for Engineering and Director of Research at the Data Science, Artificial Intelligence and Modelling (DAIM) Centre at the University of Hull.

His research focuses on Agentic AI, multi-agent systems, reinforcement learning, optimisation, digital twins and autonomous engineering decision-making, with applications across sustainable energy, transport, infrastructure and complex engineering systems.

A central theme of his work is the development of AI systems that move beyond passive analysis towards autonomous modelling, reasoning, optimisation and decision support in engineering environments.

Alongside his academic research, he is developing Energentic, an AI-driven energy intelligence platform designed to support energy managers and operators with automated energy analysis, modelling, optimisation and decision-making. Energentic has progressed through the Innovate UK ICURe commercialisation pathway and forms part of his broader work on translating frontier AI research into deployable technologies and commercial impact.

He leads and contributes to interdisciplinary research and innovation involving academic, industrial and public-sector partners, and has interests spanning AI for energy systems, engineering intelligence, infrastructure, digital twins and autonomous decision-making.

He also contributes to postgraduate education, research-informed teaching and the development of early-career researchers, and received the University of Hull ECR Research and Knowledge Exchange Excellence Award in 2026.

He welcomes collaborations on UKRI, Innovate UK, European and international research programmes, as well as industry partnerships around Agentic AI, engineering intelligence, energy systems and AI-enabled decision-making.