34th PARIS International Congress on Smart Cities, Civil Engineering, & Automation Systems (SCCEAS-26) scheduled on April 15-17, 2026 Paris (France)

SCCEAS-26


Automation & Control Theory Civil Engineering



Theme 1: Smart Infrastructure and Digital Twins (Civil Engineering & Automation)



This theme focuses on embedding digital and automated technologies into the physical built environment.



1. Advanced Infrastructure Monitoring and Maintenance





  • Structural Health Monitoring (SHM): Real-time sensing, data analytics, and predictive maintenance for bridges, tunnels, and buildings.




  • Intelligent Infrastructure: Self-diagnosing and self-healing materials (e.g., smart concrete), and autonomous inspection systems (using drones/robotics).




  • Utility Automation: Smart energy grids, automated power quality control, and intelligent monitoring systems for gas and water pipelines.





 



2. Digital Construction and Modeling





  • Building Information Modeling (BIM) 2.0: Integration of BIM with IoT and Artificial Intelligence (AI) for lifecycle management.




  • Digital Twins: Creation and use of real-time virtual models of cities, buildings, or infrastructure segments for simulation and optimization.




  • Automated Construction: Robotics and automation in construction processes, 3D printing of construction materials and structures.





 



Theme 2: Enabling Technologies (Automation & Smart Cities)



These are the fundamental technological pillars that make smart city concepts possible.



1. Internet of Things (IoT) and Sensing





  • Pervasive Urban Sensing: Deploying massive sensor networks (wired and wireless) for environmental and traffic monitoring.




  • Edge AI and TinyML: Processing data in real-time on low-power, small-scale devices at the edge of the network.




  • Secure IoT Frameworks: Novel communication protocols and frameworks for vulnerability assessment in smart environments.





 



2. Artificial Intelligence (AI) and Data Analytics





  • Urban Data Analytics and Predictive Modeling: Using Big Data and Machine Learning (ML) to anticipate urban dynamics (e.g., traffic flow, resource demand, crime hotspots).




  • AI-Driven Decision Support Systems: Tools for city planners and administrators to optimize public services and resource allocation.




  • Responsible and Ethical AI: Addressing bias, privacy, and accountability in AI-enabled public systems and citizen tracking.





 



Theme 3: Sustainable Systems and Urban Services (Smart Cities & Environmental)



This theme addresses how technology is used to manage resources, mobility, and the environment efficiently.



1. Smart Mobility and Transportation





  • Connected and Automated Vehicles (CAVs): Infrastructure requirements and civil engineering challenges for autonomous vehicle integration.




  • Intelligent Transportation Systems (ITS): Smart system control, traffic flow optimization, and real-time traveler sensing technologies.




  • Mobility as a Service (MaaS): Data-driven integration of public transport, ride-sharing, and micro-mobility.





 



2. Sustainable Resource Management





  • Smart Water Management: Automated monitoring and control of urban water and drainage systems (SUDS) to prevent flooding and manage consumption.




  • Energy Efficiency: Intelligent control systems for power management, smart grids, and optimizing consumption in smart houses and city-wide utilities.




  • Smart Waste Management: Automated sorting, route optimization for collection, and implementation of the Circular Economy in urban systems.





 



3. Urban Planning and Resilience





  • Climate-Resilient Infrastructure Design: Engineering for extreme weather, disaster-resilient structures, and urban heat island mitigation.




  • Spatial Information Technology: Geographic Information Systems (GIS) and remote sensing for urban planning and policy.




  • Ecological Cities and Green Infrastructure: Integrating digital tools with ecosystem restoration and regenerative urban design principles.