Editorial Team

The Journal of Applied Artificial Intelligence in the Built Environment is in the process of forming its inaugural editorial team. We aim to bring together a diverse and interdisciplinary group of experts from artificial intelligence, architecture, engineering, construction, and related fields to guide the journal’s development, ensure rigorous peer review, and help shape the emerging research community. We warmly invite researchers and practitioners who are interested in joining the editorial team to express their interest by emailing us at Editorial@jaaibe.org.  The editorial team page will be updated regularly as new members are appointed.

Become a Reviewer

The journal welcomes qualified researchers to join its pool of reviewers. Reviewers play a crucial role in maintaining high scholarly standards and helping authors improve their work. If you are interested, please provide your CV, areas of expertise, and ORCID to Editorial@jaaibe.org. Reviewers will be invited to assess manuscripts based on their expertise and availability.

Editor-in-Chief

Shahab Kabiri Renani ↗
University of Reading, UK ↗

Board Members

Dr Byungjoo Choi 
Ajou University, Republic of Korea ↗
Smart Construction Lab, Ajou University
Research area: Smart Construction, Artificial Intelligence, Construction Engineering and Management, Off-Site Construction 

 

 

Prof. Ahmed Doko Ibrahim
Ahmadu Bello University, Nigeria ↗
Continuous Improvement, Procurement Management, Project Management, Quantity Surveying

 

Prof Vineet R. Kamat
University of Michigan, USA ↗
Research area: Automation; Human-Robot Interactions; Robotics; Construction, Intelligent Built Environments 

 

Prof Lei Li
Xi'an University of Architecture and Technology, China 
Research area: Computer Vision, Machine learning, Concrete structures, Structural analysis, Seismic evaluation

 

Dr Oluseye Olugboyega
Obafemi Awolowo University, Nigeria 
Research area: BIM-driven construction technologies and methodologies; AI-based construction analytics; Data-driven construction productivity and intelligence; Advanced data analytics for construction management; Decision-support systems for construction management; Real-time and intelligent project planning and scheduling.

 

Dr Zia ur Rehman
University of Derby, Derby, UK
Research area: Civil Engineering, Artificial Intelligence

 

Dr Xi Wang

Texas A&M University, USA ↗

Research area: Construction robotics, human-robot collaboration,  human factors, built environment