MetaInfrastructure
the future of infrastructure
the future of infrastructure

We innovate to deliver future built ecosystems—cities, infrastructure, buildings, and services—through people-centric, sustainable, and resilient design. Our work advances equitable infrastructure aligned with UN SDGs and Net Zero ambitions, embedding state-of-the-art robotics, agentic AI systems, digital construction, and autonomous technologies across design, delivery, and operation. We assess cyber-physical infrastructure exposure to natural, climate, and anthropogenic threats—from sea-level rise to conflicts—through threat-agnostic, conflict-resilient frameworks. Leveraging AI, Generative Design, Digital Twins, IoT, immersive environments, and intelligent robotic platforms, we develop data-driven, agent-based solutions enhancing lifecycle decision-making. Our approach promotes sustained resilience and long-term bounceability through continuous adaptation. Through Counterfactual Engineering and Engineering for People, we future-proof infrastructure, enabling communities to adapt, prosper and 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
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
sustainable constructions; LCA; building physics
heating, ventilation, and air conditioning; energy-saving buildings; European standards; resource-saving technologies
sustainable constructions, energy efficiency, LCA
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
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
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)
bridge Engineer, MEng Civil Engineering, Doctoral Researcher, University College London, UK
doctoral researcher, temporary works, design management, major Infrastructure Delivery, University College London
GIS and geospatial analysis; agent-based modelling; socio-economic and socio-spatial assessment; flood risk management
remote sensing; bridge-scour; risk assessment;, field monitoring; numerical modelling; floods; nearshore morphodynamics; estuarine and river environment;
infrastructure vulnerability and risk assessment; loss estimation; multiple hazards; probabilistic engineering
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