AI-Based Services for Smart Cities and Urban Infrastructure

AI-Based Services for Smart Cities and Urban Infrastructure

Indexed In: SCOPUS
Release Date: September, 2020|Copyright: © 2021 |Pages: 353
DOI: 10.4018/978-1-7998-5024-3
ISBN13: 9781799850243|ISBN10: 1799850242|EISBN13: 9781799850250
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Description & Coverage
Description:

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens.

AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • AI Policy
  • City Development
  • Construction Management
  • Industry Economy
  • IoT Connectivity
  • Performance evaluation
  • Public Transportation
  • Security Governance
  • Smart Agriculture
  • Smart City Service
  • Smart Homes
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Editor/Author Biographies

Kangjuan Lyu is Professor and Dean in SILC Business School, Shanghai University. She achieved her PhD in Management Science and Engineering from Harbin Institute of Technology, China 2003. She did research in Land Economy Department Cambridge University as visiting professor from 2009-2010. Her research area: urban and regional management, energy efficiency and environmental economics, industry network, and spatial analysis. She has published more than 20 papers in international journals (6 papers published in Q1) and published 5 books. she consults several times for Shanghai municipal government.

Min Hu is Associate Professor and Director of Information Management Department of SILC Business School and Executive Deputy Director of SHU-SUCG Research Center for Building Industrialization, Shanghai University, China. Her research interests are in the areas of Big Data Analytics, urban construction and information management. She has presided over and completed a number of national and provincial-level scientific research projects. The research productions have been applied in the construction and operation management for many projects and facilities. She has published more than 80 peer-reviewed papers in Journals and Conferences., owns 12 invention patents, and won 6 provincial and ministerial scientific and technological progress awards (1 first prize, 2 second prizes and 3 third prizes).

Juan Du is Associate Professor in SILC Business School, Shanghai University and Joint Appointment by Faculty of Engineering and IT, University of Technology Sydney. She received the M.Sc. degree in management information system and management from Warwick University and the Ph.D. degree in management sciences and engineering from the Shanghai University of Finance and Economics. She worked as the visiting scholar at Georgia Institute of Technology and also worked as Researcher with Shanghai Civil Construction Industry Research Centre. Her current research interests are construction management and decision-making, intelligent operation and management of transportation infrastructure, digitalization and innovation. She has published around 20 papers in Expert systems, Information Systems Frontiers, Intelligent Automation and Soft Computing, Engineering Construction and Architectural Management, IEEE ACCESS, Electronic Commerce Research and so on. She presided over several National, provincial and ministry level project and also participated in a number of corporate projects.

Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Decision and Information Sciences department at Oakland University. He is also Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. Over the years he has taught courses at the Graduate and Undergraduate level in Object-Oriented Systems Development, C++, Java, Javascript, Database Management Systems and Data Warehouses, Advanced Databases and Big Data Management, Deep Learning and Text Analytics, Systems Analysis and Design, Electronic Commerce, and Introduction to MIS. His research interests are in the areas of Big Data Analytics, Business Intelligence, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, Component Based Software Development, Knowledge-Based Systems, and Data & Information Modeling. He has published over 275 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books. His recent publications have appeared in Information Systems Research, ACM Transactions on Database Systems, IEEE Transactions on Engineering Management, IEEE Transactions on Big Data, IEEE Transactions on Education, IEEE software, Communications of the ACM, Healthcare Management Science, Data and Knowledge Engineering, The DATABASE for Advances in Information Systems, Information Systems Journal, and Journal of Information Systems and E-Business Management. He is also the editor-in-chief of the International Journal of Intelligent Information Technologies and also serves on the editorial board of eight other journals. He was the Program Co-Chair for the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, NLDB 2019, and NLDB 2023). He was also the Chair of Intelligent Information Systems track for the Information Resources Management Association International Conference (IRMA 2001, 2002, 2005 - 2007) and the Intelligent Agent and Multi-Agent Systems in Business mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2023). He served as Program Co-Chair for the 14th Workshop on E-Business (WeB2015), 29th Australasian Conference on Information Systems (ACIS 2018), 14th Annual Conference of Midwest Association for Information Systems (MWAIS 2019), 5th IEEE International Conference on Big Data Service and Applications (BDS 2019), and 2022 Midwest Decision Sciences Institute Annual Conference (MWDSI 2022). He also served as Chair of the E-Commerce track for Decision Science Institute’s Annual Conference, 2004. He was the Information Technology Coordinator for the Decision Sciences Institute from 2007 to 2010. He also regularly serves as a program committee member for numerous national and international conferences.
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