What Faculty do you work in?
Science and Engineering
What is your main area of research?
Modelling, Data Analytics and AI in Engineering
Why is your research important?
In today’s rapidly evolving science and technology landscape, the integration of modelling, data analytics, and artificial intelligence (AI) has become increasingly indispensable. These advanced tools are not only redefining problem-solving strategies but also propelling industries toward unprecedented levels of efficiency, precision, and innovation. Across a wide array of sectors—ranging from aerospace and automotive engineering to chemical manufacturing, construction, energy production, materials science, and transportation—these transformative technologies are being leveraged to tackle some of the most intricate and demanding challenges of our time.
In the automotive sector, these technologies enable the development of smarter, more sustainable vehicles, from electric cars to autonomous driving systems. The chemical industry benefits from advanced simulations that optimize reaction processes and material formulations, while in construction, AI and data analytics contribute to the creation of more resilient, cost-effective, and environmentally friendly infrastructure. Energy companies are utilizing these tools to better predict and manage energy consumption, integrate renewable sources, and reduce carbon footprints, thus playing a critical role in the global transition to sustainable energy. In transportation, the use of AI and data analytics is reshaping logistics, improving traffic management, and enhancing the overall efficiency of transportation networks.
What SDG is your research most closely aligned with?
Affordable and Clean Energy; Decent Work and Economic Growth; Industry, Innovation, and Infrastructure; Sustainable Cities and Communities; Responsible Consumption and Production; Climate Action
What do you hope to accomplish with your research?
My current research is primarily focused on the broader civil engineering sector, encompassing construction methods, transportation systems, and energy. My team systematically develops and applies modelling, data analytics, and AI technologies to support the priority of creating a sustainable and resilient built environment.
Is there a cross-disciplinary element to your research? If so, who else at the University is involved?
Yes. The work is cross-disciplinary, and many colleagues in the university are involved: Professor Arnold Beckmann; Professor Cameron Pleydell-Pearce; Professor Davide Deganello; Professor Richard Johnston; Professor Xianghua Xie.
Are there any external collaborators involved?
Arup; BBA; Costain; EFFC; FPS; LUSAS; Rockfield; TWf
What is next for your research?
The convergence of modelling, data analytics, and AI should not only tackle today’s complex industrial challenges but also pave the way for a future where technology-driven innovation continually redefines the boundaries of what is possible. A key focus of this journey is to ensure that these advancements contribute meaningfully to the full achievement of the Sustainable Development Goals (SDGs).