MetaInfrastructure
the future of infrastructure
the future of infrastructure
We innovate for delivering future built ecosystems —encompassing cities, infrastructure, buildings, and services—through people-centric, sustainable, and resilient design. Our work supports equitable infrastructure aligned with the UN SDGs and Net-Zero goals. We assess the exposure of cyber-physical infrastructure to natural, climate, and anthropogenic threats—from sea-level rise to conflicts—using threat-agnostic resilience approaches. Leveraging AI, Generative Design, Digital Twins, IoT, and VR, we develop data-driven solutions to enhance decision-making in complex systems. Our research promotes sustainability, inclusivity, and co-development, shaping green and blue infrastructure policies within the evolving metaCity. Through Counterfactual Engineering and Engineering for People, we explore innovative strategies to future-proof infrastructure—upholding the core mission of Civil Engineering: serving society by delivering safe, inclusive, and resilient infrastructure that enables communities to thrive.
resilience of transport assets; monitoring-driven resilience of infrastructure; damage-free, zero-maintenance bridges, Eurocode expert
risk and resilience assessment of critical infrastructure and networks exposed to multiple hazards and climate change effects
strength and reliability; strengthening; retrofitting, material properties; probabilistic approaches; non-destructive methods
AI; big data; database and data warehouse integration; distributed systems; integrated systems and dataspaces; VR/AR
seismic risk assessment; geotechnical design; numerical and experimental modelling of geohazard effects
AI/ML; high-speed computational intelligence; neural-like structures; non-iterative training algorithms; ensemble models; meta learning and small data analysis
structural optimization; data-driven design of infrastructure; LCA-driven design; eco-design; steel structures; reusing steel
infrastructure vulnerability and risk assessment; loss estimation; multiple hazards; probabilistic engineering
heating, ventilation, and air conditioning; energy-saving buildings; European standards; resource-saving technologies
sustainable transport systems; energy-saving and energy-efficient technologies in transport; renewable energy integration in transport; vibration diagnostics of electric machines
sustainable transport systems; energy-saving and energy-efficient technologies in transport; renewable energy integration in transport; vibration diagnostics of electric machines
project management; communication; project coordination; stakeholder engagement; process optimization
civil construction and urban transports and services;
effect of bridges on the origin and urban development of cities
remote sensing; bridge-scour; risk assessment;, field monitoring; numerical modelling; floods; nearshore morphodynamics; estuarine and river environment;
wildfires prevention and management; Risk management; Geographic Information Systems and remote sensing; wildfires simulation and spatial resilience; spatial planning and climate change
structural reliability; uncertainty quantification; machine learning; bridge engineering
GIS and geospatial analysis; agent-based modelling; socio-economic and socio-spatial assessment; flood risk management
climate-resilience and sustainability; optimisation; transport infrastructure; adaptation
FEM; risk assessment and safety; low-carbon; energy efficiency; structural engineering; remote control
Seismic vulnerability assessment; fragility evaluation; civil engineering systems analysis.
integration of micro-mobility with the public transportation
seismic design; infrastructure resilience; Finite Element Modelling, Building Information Modelling (BIM)
computational methods and tools for advanced numerical methods and novel information technologies, structural and geotechnical
resilience of transport hubs and network interoperabilities exposed to multiple hazards
(funded by TETFUND)
risk assessment of steel structures and community, critical industrial facilities
fragility analysis of infrastructure; multiple hazard assessment of bridges; retrofit prioritisation; machine learning
monitoring of transport infrastructure; rapid risk and resilience assessment with guided waves; strengthening; nano-materials