Synopsis
The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment.
Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research's theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.
About the Authors
J. Joshua Thomas received his PhD. degree from University Sains Malaysia (USM), School of Computer Sciences, in 2015. He worked as research assistant at the Artificial Intelligence Lab in University Sains Malaysia. His research interests include scheduling algorithms, machine learning algorithms, data analytics, deep learning, and visual analytics, and Chemoinformatics. Dr. J. Joshua has authored several publications in leading international conferences and journals. Some of his research work were published in conferences including, IEEE, ICONIP, IVIC, IV, COMPSE, ICO. He has funded external, internal, short term research grants and industry collaborative projects. He has been invited as plenary speaker at IAIM2019, delivered, conduct Workshop's (IVIC19) at International conferences. He is an Associate Editor for the journal of Energy Optimization and Engineering (IJEOE), and invited as guest editor for JVLC-Elsevier, IJDSA-Springer, IJCC-IGI-Global, IJIRR-Inderscience.
Vasiliki (Valina) Geropanta is an Assistant Professor of Urban Planning with New Technologies at the Technical University of Crete, Faculty of Architecture. She holds a PhD in the field of the Smart City from the Universitą degli studi di Roma, Sapienza, Italy, an Ma in Housing & Urbanism from Architectural Association, School of Architecture, London, UK, and a Master’s Degree of Architect-Engineer from the University of Patras. Her research interests are on the transformation of cities because of the contemporary global challenges, through the smart - intelligent city model. Her latest research projects look at ICT methodologies for making human settlements more inclusive, safe, resilient and sustainable; at contemporary approaches to conservation and promotion of cultural heritage with the use of ICT; at sustainable - smart tourism; and an exploration of the future of architectural education. She has participated in European research projects in capacity building in the field of Smart Tourism and Smart City (e.g. LMPΤ and Discover - Erasmus Plus, KA2), while she has been awarded grants for research and lecturing in Cambridge, India, Korea, Peru, Qatar, Vietnam, Italy and Lebanon. She has published extensively on urban and architectural issues with ICT, smart cities, smart tourism etc. and she is the co-editor of two books. She has also extensive participation in international conferences, workshops, seminars, while she currently serves as a reviewer and part of the editorial board of four international scientific journals. In 2018, she was nominated for the RIBA International Award 2019 for her contribution in Architecture through leadership of thought, education and research. The same year she was selected to open the 7ο International symposium of the UNESCO chairs in Peru, discussing the impact of ICT in the cultural revival of Rome. In 2018 she founded Avrions, (www.avrions.com), an activity that aims at raising awareness for the use of ICT in contemporary cities and at creating a mechanism of knowledge distribution and exchange with the objective to bring cultural and spatial innovation.
Vladimir Panchenko from 2003 to 2009 studied at “Bauman Moscow State Technical University”. Passed an internship program on the International Energy Program in the Solar Energy Center (SEC), India, Delhi, 2011. Ph.D. thesis was protected in 2013. From 2013 to 2017 head of the laboratory ''Solar photovoltaic modules with an experimental - technological site''. In 2014 was appointed as a contact person and a member of the International Solar Energy Society. Since 2015 associate professor at the ''Russian University of Transport''. Since 2017, a senior researcher at the ''Solar Energy Laboratory'' of “Federal Scientific Agroengineering Center VIM”. In 2016 awarded the grant ''Young lecturer of Russian University of Transport'''. In 2018 awarded the Scholarship of the President of the Russian Federation for 2018 - 2020 for young scientists and graduate students. Has 3 medals of exhibitions, 4 diplomas of the winner of competitions, participated in more than 100 conferences and exhibitions of various levels, has more than 200 publications, including patents, monographs and educational publications. Area of interest includes three-dimensional modeling, use of solar energy and electrical transport.
Pandian Vasant (H Index: 30) with MERLIN Research Center, TDTU, Vietnam. He holds PhD (UNEM, Costa Rica) in Computational Intelligence, MSc (UMS, Malaysia, Engineering Mathematics) and BSc (2nd Class Upper-Hons in Mathematics, UM, Malaysia) in Mathematics. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters, edited books, and keynote lecture. (295 publications are listed in ResearchGate). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier), awarded outstanding reviewer in the year 2015 for ASOC (Elsevier) journal and Top reviewer for Sentinels of Science: Computer Science (Oct. 2015 - Sept. 2016). He has 32 years of working experience at the various universities from 1989-2021. Currently he is Editor-in-Chief of IJEOE, Member of American Mathematical Society, MERLIN Research Group (TDTU), and NAVY (TUO) Research Group.
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