Seattle skyline at dusk with the Space Needle and Mount Rainier

ASCE International Conference on Computing in Civil Engineering

i3CE 2027

AI-Empowered Computing for
Safer, Smarter, and More Resilient
Civil Infrastructure Systems

June 28 - July 1, 2027 Husky Union Building (HUB)
University of Washington, Seattle

Welcome to Seattle

Welcome Message

Dear colleagues,

The 2027 ASCE International Conference on Computing in Civil Engineering invites researchers, practitioners, educators, students, technology developers, and public-sector professionals to advance computing and digital technologies in civil and construction engineering.

Hosted at the University of Washington by the Pacific Northwest Transportation Consortium (PacTrans) and the Washington State Transportation Center (TRAC), i3CE 2027 will connect advances in artificial intelligence, autonomous systems, digital twins, sensing, visualization, data science, and human-centered computing with important challenges facing civil infrastructure.

Professor Yinhai Wang
Conference Co-Chair

Professor Fei Dai
Conference Co-Chair

Professor Abdolmajid Erfani
Conference Co-Chair

Explore the Call for Papers

Nine technical tracks

From agentic AI and construction robotics to climate-resilient infrastructure, engineering education, and emerging computing technologies, i3CE 2027 invites work that moves computing research into meaningful civil engineering practice.

Track 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

Track 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

Track 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

Track 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

Track 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

Track 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

Track 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

Track 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

Track 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

Two types of contributions

i3CE 2027 welcomes both mature, fully developed studies and concise reports of emerging ideas. Select the format that best matches the scope, evidence, and maturity of your contribution.

Full research papers

Mature and substantive research supported by appropriate methods, experiments, validation, case studies, or theoretical development.

Maximum: 10 pages, including references · Abstract required

Short papers

Emerging research, innovative concepts, preliminary findings, new research directions, technical demonstrations, or early-stage investigations.

Recommended length: 5 pages, including references

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