Architecture, Structures and Construction is a platform for synergizing the disciplines of architecture, building and structural engineering.
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.
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M.Z. Naser
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. His 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). -
Vitaliy V. Degtyarev
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. 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.
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