In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Ahmad, Afaq: - Dr. Afaq Ahmad is a highly ambitious, innovative, and hardworking professional engineer with over 13 years of combined experience in design and research. Currently, he is working as Associate Professor at the University of Engineering & Technology Taxila. Founder of Scotant Engineer Consultant and member of Opti-Structure International. Currently, his research group is working on structural health monitoring through CNN and Image processing, prediction of reinforced concrete and composite material through Artificial Neural networks. His published research work contains 45 peer-reviewed journal papers and 13 papers in international and national conferences, with a cumulative impact factor of 69+ and a ResearchGate score of 24. His research group is working with the international research groups (Prof Vagelis Plevris, Professor, Qatar University, Norway, Prof Mohamed Elchalakani, University of Western Australia, Australia, Prof. Dr. Farid Abed, Professor, American University of Sharjah, Sharjah, UAE, and Dr. Omar Alajarmeh, University of Southern Queensland Australia).
Lagaros, Nikos D.: - Dr. Nikos D. Lagaros is a Lecturer at the Institute of Structural Analysis and Seismic Research of the School of Civil Engineering, National Technical University of Athens and at the School of Corps of Engineers of the Hellenic Army since 2007. He is serving as treasurer of the Greek Association for Computational Mechanics, while he acts as NSF panellist at the Directorate for Engineering Civil, Mechanical and Manufacturing Innovation, since 2010. Dr. Lagaros provides consulting, peer-review and expert-witness services to private companies and federal government agencies in Greece. A focus of his consulting work is the assessment of buildings after earthquake events and the development of technical software. The results of his research activity encompass a wide range of topics with an interdisciplinary character in the field of computational mechanics. His published research work contains: 70 peer-reviewed journal papers, 1 book, 6 contributed books, 2 international conference proceedings, 15 chapters in international books, 135 papers in international conferences.
Plevris, Vagelis: - Dr. Vagelis (or Evangelos) Plevris is an Associate Professor at the Department of Civil & Architectural Engineering of Qatar University in Doha, Qatar. He serves as Chief Editor for "Computational Methods in Structural Engineering", a section of the journal Frontiers in Built Environment, by Frontiers in Switzerland. He holds a Diploma in Civil Engineering (5-year studies) from the National Technical University of Athens (NTUA) with specialization in Structural Engineering. He also holds an MSc from NTUA on "Structural Design and Analysis of Structures", a Master in Business Administration (MBA) from Athens University of Economics and Business (AUEB) and a PhD from the School of Civil Engineering of NTUA. The title of his Doctoral Thesis was "Innovative Computational Techniques for the Optimum Structural Design Considering Uncertainties". His research interests include (i) Finite Element Method (FEM); (ii) Static and Dynamic Analysis of Structures with FEM; (iii) Earthquake Engineering; (iv) Optimum Design of Structures; (v) Reliability and Probabilistic Analysis of Structures; and (vi) Neural Networks and their Applications in Engineering. His published research work includes more than 100 journal papers, peer reviewed conference papers and book chapters.
