Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Designing for Sustainability
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Designing for Sustainability
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Description
“The book’s 11 chapters deal with digital ‘vitalism’ in cities … . The chapters are useful for looking at the urban fabric for smart cities, including resiliency, responsiveness, elasticity, interconnection, and asynchronicity between components. … This book therefore immerses readers in many fundamental changes that conceptually model the urban fabric through topics related to artificial intelligence (AI) and machine learning(ML).” (Romina Fucà, Computing Reviews, May 22, 2023)
Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Professor Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Professor Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, ecommerce, data mining, biomedical applications, and massive computing. Panos Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).
Stamatina Th. Rassia is an architect engineer holding a diploma in Architecture Engineering from the National Technical University of Athens (NTUA) in Greece. She has an MPhil in Environmental Design in Architecture and a PhD in Architecture from the University of Cambridge in the United Kingdom. Dr. Rassia is an expert on topics of sustainability and public health promotion by architectural design.
Arsenios Tsokas holds a BSc in Mathematics from the Aristotle University of Thessaloniki in Greece and a PhD in Industrial & Systems Engineering from the University of Florida in USA. He has a diverse background including data analysis, optimization, and machine learning.