Call for Papers: Special Issue on Applications of Artificial Intelligence and Machine Learning in Architecture, Structures and Construction
Architecture, structural engineering, and construction domains continue to heavily rely on traditional approaches and computational techniques. While such classical methods have proven to be appropriate for building design and construction, they often require extensive resources and expertise. Artificial intelligence (AI) and machine learning (ML) offer highly efficient data-driven solutions that not only overcome some of the key limitations of classical approaches, but have been successfully adopted by parallel industries. This special issue aims at showcasing the tremendous potential of integrating AI and ML in architecture, structures, and construction applications from research, industry, stakeholders, and outreach perspectives.
Potential topics include but are not limited to AI and ML in:
• Design automation using AI/ML (i.e., adaptive & generative architecture)
• Urban planning by AI/ML
• AI/ML in interior design
- Structural engineering
• Using AI/ML to evaluate the response and performance of structural systems, elements etc.
• Event-based engineering (i.e., fire, earthquake, wind, flooding etc.) through AI/ML
• Applying AI/ML in structural health monitoring and damage detection
• AI- and ML-powered energy and occupant comfort monitoring
• AI/ML in Building information modeling (BIM) technologies
• Using AI/ML in inspection, worker safety etc.
How to submit your article
All submissions must be original and may not be under review by another publication. Interested authors should consult the journal’s “Submission Guidelines” at https://www.springer.com/journal/44150/submission-guidelines.
Articles can be submitted through Editorial Manager: https://www.editorialmanager.com/acon/default.aspx
The special issue is created as submission questionnaire in the system. When you submit your paper you will be asked if your paper belongs to a special issue. If you answer yes, a pull down menu prompts up where you can select the title of the special issue to which you are submitting your paper.
Also, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on "Applications of Artificial Intelligence and Machine Learning in Architecture, Structures and Construction". All submitted papers will be reviewed on a peer review basis as soon as they are received. Accepted papers will become immediately available at Online First until the complete Special Issue appears.
Deadline for submissions: October 1st, 2021.
M.Z. Naser, Clemson University, USA
Dr. M.Z. Naser is a professional engineer and an assistant professor at the Glenn Civil Engineering department at Clemson University and a member of the AI Research Institute for Science and Engineering (AIRISE). He received his PhD from Michigan State University. My research interests cover the areas of Autonomous/Cognitive and resilient infrastructure, Computational intelligence, Structural fire engineering, retrofitting of aging structures, and understanding the Behavior of materials & structures in extreme environments (i.e., fire & space). He is currently serving as a committee member in four ACI (American Concrete Institute) committees (133, 216, 440 and 447), as well as the American Society of Civil Engineers (ASCE) Fire Protection Committee and Precast/Prestressed Concrete Institute (PCI) fire committee. Also, Dr. Naser is a member of the editorial boards of five academic journals.
Vitaliy V. Degtyarev, New Millennium Building Systems, LLC, USA
Dr. Vitaliy V. Degtyarev is a Design & Research Engineer at New Millennium Building Systems, Columbia, SC. He received his BS/MS in Civil Engineering from South Ural State University, Chelyabinsk, Russia; and PhD in Structural Engineering from Research Institute of Concrete and Reinforced Concrete (NIIZhB), Moscow, Russia. After graduation, Dr. Degtyarev worked as a Senior Research Associate at NIIZhB, where he concentrated on developing new types of steel reinforcement and studying properties of steel reinforcement, reinforcing bar connections, and the bond between reinforcing bars and concrete. After moving to the US, he has worked for steel deck manufacturers and has been involved in developing new cold-formed steel decks and composite steel deck-slabs, studying their strength and behavior under vertical and lateral loads, fire behavior of composite slabs, as well as their serviceability properties, such as sound absorption, sound insulation, and walking-induced floor vibrations. In recent years, Dr. Degtyarev has been actively working on applications of machine learning and artificial intelligence to structural engineering problems. Dr. Degtyarev’s fields of expertise are cold-formed steel structures, reinforced concrete structures, steel-concrete composite structures, finite element simulations of structures, and artificial intelligence and machine learning in structural engineering. He is a member of several technical committees of American Iron and Steel Institute (AISI), American Concrete Institute (ACI), and Steel Deck Institute (SDI), as well as a licensed professional and structural engineer in several states of the US. Dr. Degtyarev has published a number of papers in top-tier refereed technical journals and is a member of the Editorial Board of the Architecture, Structures and Construction journal.