معرفی
Georgios Hadjidemetriou is a Lecturer in Construction Management specializing in applying Data Science to address climate, socio-economic, and technological challenges in transport infrastructure and construction. His research focuses on optimizing automation/robotics in construction, predictive maintenance systems, and resilient infrastructure design. He holds MEng, MSc, and PhD qualifications.
- Education: MEng, MSc, PhD (specific fields not explicitly stated)
Research interests include integrating Artificial Intelligence with construction processes, digital twins for highway monitoring, and sustainability strategies. His work bridges Transport Infrastructure, Construction Management, and Systems Science to enhance infrastructure resilience.
Key projects include the EU-funded SAFEWAY system for extreme event response, the RE-PLACE urban planning initiative, and digital twin-based maintenance frameworks. He has led projects for the Israel Ministry of Innovation, Innovate UK, and SKANSKA UK.
- Notable Grants:
- DRF Initiative (UKRI/EU MSCA COFUND)
- RE-PLACE (Innovate UK KTP)
- SAFEWAY (EU Horizon-2020)
Expertise includes predictive modeling (Bayesian, machine learning), asset information management, and infrastructure criticality assessment. His research outputs span over 30 peer-reviewed articles focusing on pavement condition prediction, AI-based defect detection, and resilient infrastructure systems.
