Olugbenga Akinade

Olugbenga Akinade is a Professor in Digital Innovation at Teesside University's Department of Computing & Games. He holds a PhD in AI-driven Building Information Modelling (BIM) from the University of the West of England (UWE) Bristol. His research focuses on intelligent systems for low-carbon economies, industrial applications of immersive technologies, digital twins for engineering processes, and climate adaptation technologies. He has led projects totaling £18.7 million in funding from Innovate UK, EPSRC, and BEIS, addressing areas like computer vision for construction safety, BIM for carbon reduction, and AR for infrastructure maintenance.

• Education: PhD in AI-driven BIM (UWE Bristol)

Research interests include:

• Emerging technologies for climate resilience
• AI-driven construction productivity
• Conversational-AI applications

Recent projects highlight innovation in:

• CV-SMART (behaviour-based safety via IoT and computer vision)
• IntelliSite (AI/video analytics for construction safety)
• ASPEC (predicting embodied carbon in infrastructure)

Total grant funding: £18.7M (including £16.278M Transport Infrastructure Efficiency Strategy Living Lab).