Table of Content

AI and Machine Learning Modeling in Civil and Building Engineering

Submission Deadline: 31 December 2022 Submit to Special Issue

Guest Editors

Dr. Ke Yan, National University of Singapore, Singapore
Dr. Xiaokang Zhou, Shiga University, Japan
Dr. Haidong Shao, Hunan University, China

Summary

Artificial Intelligence (AI), machine learning (ML) and data analytics technologies are slowly changing the traditional ways of handling civil and building engineering problems. Examples of AI-empower civil and building engineering applications include autonomous vehicle/robots, smart building/city design, internet of things (IoT), smart facility management, smart building maintenance, etc., where the AI and ML techniques are involved in different stages of building life-cycle, including design, construction and maintenance stages.


Although automation and robotics have their great capability in civil and infrastructure constructions, there are still obstacles adopting modern AI and machine learning technologies for civil and building engineering due to the uncertainty and unclear performance for fully-automated construction and management. On one hand, it is well known that a well-implemented AI-enabled sensing system is a hidden key factor for a successful and efficient building project. On the other hand, it is difficult to address the automation issues completely from multiple perspectives. While a significant amount of works and research studies have already been undertaken to address various AI and automation issues in the current civil and building engineering stage, these concerns continue to change in response to new AI technology developments and clients’ demand trends.


This special issue intends to provide an international forum for researchers to exchange up-to-date outcomes on AI, ML and data analytics with their various applications to address the automation concerns in civil and building engineering. These three exciting research areas (AI, ML and data analytics) have attracted extensive research interests over the last decades, both from the AI methodology research community and the civil engineering research groups. With the emergence of novel methods and systems, recent progresses of these three areas remain to be investigated and studied. Therefore, a special issue is proposed to satisfy this requirement, which will have a great significance and profound impact on the societies, including machine learning enhanced civil engineering solutions in smart cities, automation and robotics solutions in the infrastructure management design, sensing and big data systems, computer and networks, human-computer interactions and so on.


The main purposes of this special issue target to:

(1) bring together the research efforts in multiple related disciplines, such as artificial intelligence, machine learning, big data, edge computing, smart building, smart city, civil engineering, infrastructure management, Internet of things, hybrid human-machine computing, and smart environment to find and develop new AI and machine learning technologies for the AI-empowered civil engineering; 

(2) address the real-world challenges of the automation issues behind the fast development of AI-empowered civil engineering, and propose machine learning enhanced solutions to enhance the existing automation and robotics technologies; 

(3) look for emerging topics of ML enhanced civil engineering, AI, data analytics in civil engineering, smart building and smart city design, which in consequence attract more people to participate and enjoy the culture of AI-empowered civil and building engineering.


In summary, gathering novel research works related to AI and ML is the main purpose of this special issue. We encourage the submission of papers with new results, methods, applications and solutions in multiple related disciplines, such as edge computing, Internet of things, big data analytics, artificial intelligence, hybrid human-machine computing, infrastructure management design, sensing and big data systems, computer and networks, etc.


In addition to regular submissions for this special issue, authors of a few selected best papers from the conferences, including the 7th IEEE Cyber Science and Technology Congress (CyberSciTech 2022), Sept. 12-15, 2022, in Calabria, Italy, http://cyber-science.org/2022/cyberscitech/, and the 20th IEEE International Conference on Smart City (SmartCity 2022), date and venue to be determined, which are the high-quality international conferences related to computer modeling and smart city. Organizing members of CyberSciTech 2022 and SmartCity 2022, including a few senior famous members world-wide, will help promotion of this special issue, and selected members will be invited to join the review process.


Keywords

Sensing data for infrastructures;
Information modeling for smart city;
Automatic/robotic device;
Human-computer interactions in civil engineering;
AI in construction management technologies;
AI in service & business applications;
AI in entrepreneurship;
Architecture, planning and Engineering;
Recent developments of Internet of things (IoTs) technology;
Big data analysis for building and facility management;
Artificial intelligence methods in building operation and maintenance;
Smart and sustainable cities;
AI technologies for the smart environment;
AI in infrastructure and civil constructions.

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