About
The integration of AI, data science, and information technology (IT) into real-world applications is rapidly advancing. In civil engineering, their utilization is actively expanding beyond traditional fields such as structures, materials, and construction to encompass maintenance, disaster prevention, urban planning, transportation, environment, energy, and more.
Intelligence, Informatics and Infrastructure aims to contribute to the advancement of AI and data science in civil engineering by publishing a journal that promotes cross-disciplinary and comprehensive discussions. The journal includes results and insights from research, education, development, surveys, testing, and practical applications across various domains. Additionally, symposia are organized to foster dialogue and collaboration among researchers and practitioners in these fields.
Topics of interest include, but are not limited to, the following:
- Foundational Research and Perspectives: Reviews, opinions, concepts, future visions, roadmaps
- Digital Transformation and Data Engineering: Digital transformation (DX), process improvement, data management, data engineering, data pipelines, and cloud computing
- Sensing and Monitoring: Sensing technologies, IoT, satellite data, remote sensing, and sensor networks
- AI and Data Science Methods: AI techniques, statistical and mathematical methods, machine learning algorithms, optimization, and data assimilation
- Big Data and Analytics: Big data applications, alternative data, social data science, and predictive analytics
- Modeling and Simulations: BIM, surrogate models, Physics-Informed Neural Networks (PINNs), and simulations
- Autonomous Systems: Robotics, UAVs, UGVs, USVs, UUVs, and autonomous operations
- Generative and Multimodal AI: Image recognition, natural language processing, large language models (LLMs), and multimodal AI
- Materials and Experimental Informatics: Materials informatics, experimental data analysis, and quality management
- Implementation and Integration: Programming, system design, integration, proof-of-concept (PoC) studies, and practical applications
- Smart Cities and Digital Twins: Smart city initiatives, urban operating systems, regional revitalization, and digital twin technologies
- Education and Capacity Building: Knowledge dissemination, training, curricula, and educational materials
- Societal and Business Impact: Business innovation, social implementation, venture startups, and project management
- Sustainability and Environmental Challenges: Climate change mitigation, carbon neutrality strategies, sustainable development, and environmental impact assessment
We encourage submissions across these areas, including current research, development, case studies, and practical implementations.