About i3CE
Technical Areas
Nine tracks spanning computing, infrastructure, people, and practice.
Submissions are invited in the following nine technical areas. The topics listed under each track are illustrative and are not intended to be exhaustive.
01
Artificial Intelligence in Design, Construction, Operations, and Maintenance
- Machine learning and deep learning
- Computer vision and multimodal sensing
- Explainable and trustworthy AI
- Predictive and prescriptive analytics
- Geospatial AI and spatial intelligence
- AI-enabled infrastructure management
- Intelligent transportation and mobility applications
- Data-driven engineering design and decision support
02
Robotics, Automation and Autonomous Systems
- Construction robotics
- Autonomous and semi-autonomous systems
- Human-robot collaboration
- Teleoperation and remote operations
- Autonomous inspection
- Uncrewed aerial and ground systems
- Robotic perception and navigation
- Automated construction processes
- Field robotics and intelligent equipment
03
BIM, Reality Capture, and Digital Twins for Infrastructure
- Building and infrastructure information modeling
- Digital twins and cyber-physical systems
- Reality capture and scan-to-BIM
- Point-cloud and image-based modeling
- Internet of Things and connected infrastructure
- Real-time data integration and synchronization
- Semantic modeling and knowledge representation
- Information interoperability and open data standards
- Lifecycle information management
- Digital thread technologies
04
Visualization and Extended Reality
- Virtual reality
- Augmented reality
- Mixed reality
- Immersive visualization
- 3D and 4D modeling
- Interactive simulation
- Spatial computing
- Visualization for planning and decision support
- Human interaction with virtual built environments
05
Sustainable and Resilient Infrastructure Systems
- Infrastructure resilience and adaptation
- Climate-informed infrastructure analytics
- Predictive maintenance
- Structural and infrastructure health monitoring
- Risk and reliability modeling
- Smart and sustainable cities
- Energy and building systems
- Lifecycle assessment and optimization
- Computing for disaster preparedness and recovery
- Data-driven asset management
06
Human-Centered Innovations
- Human-machine interaction
- Human-robot collaboration
- Human-AI teaming
- Human-building interaction
- Wearable and mobile technologies
- User-centered infrastructure systems
- Cognitive and behavioral modeling
- Technology adoption and acceptance
- Responsible and ethical computing
- Workforce-technology interaction
07
Health, Safety, and Emergency Technologies
- Construction and infrastructure safety technologies
- Computer vision for infrastructure and transportation engineering
- Predictive and proactive safety analytics
- Worker safety and health
- Connected and wearable safety systems
- Transportation and roadway safety technologies
- Emergency detection and response
- Disaster management technologies
- Risk communication and decision support
08
Technology-Enhanced Engineering Education and Training
- AI-assisted engineering education
- Virtual and augmented reality for training
- Engineering simulation and serious games
- Workforce development
- Digital learning environments
- E-learning platforms
- Interactive engineering education
- Computing curricula for civil engineering
- Human-AI collaboration in education
- Professional training and lifelong learning
09
Emerging and Cross-Cutting Computing Technologies
- Large language models and vision-language models
- Foundation models and agentic AI
- Generative AI
- Quantum computing and quantum-inspired optimization
- High-performance and accelerated computing
- Cloud, edge, and distributed computing
- Cybersecurity and privacy-preserving computing
- Blockchain and distributed ledger technologies
- Federated and decentralized learning
- Privacy-preserving AI
- Scientific computing
- Advanced computational optimization
- Emerging computing architectures
- Novel computational methods for the built environment