MIDATASMART 2020: Machine Intelligence and Data analytics for sustainable future Smart Cities

Edited Book: Machine Intelligence and Data analytics for sustainable future Smart Cities

Will be published in "Studies in Computational Intelligence" by Springer and indexed by (Scopus & Web of Science)

On the onset of a new era of global transformation, the residents and their surrounding environments are increasingly getting connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity but poses significant challenges at the complex intersection of technology and society. Future smart connected cities in turn, aims to synergistically integrate intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it.  In recent years, Artificial Intelligence/Machine Learning (AI/ML) approaches have emerged as powerful computational models and have shown significant success to deal with a massive amount of data in unsupervised settings. AI/ML is influencing various technologies because it offers an effective way of learning representation and allows the system to learn features automatically from data without the need of explicitly designing them. With the emerging technologies, the Internet of Things (IoT), wearable devices, cloud computing and data analytics offer the potential of acquiring and processing tremendous amount of data from the physical world. AI/ML based algorithms help efficiently to leverage IoT and Big Data aspects in the development of personalized services in Smart Cities. The scope for this book will be the retrospective study of past trends and the current state of AI/ML oriented features for future smart cities. It will create future vectors in this specific domain of special interests: blockchain-based secure data management implementations that deal with privacy, integrity, and other crucial security and forensics requirements. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

List of Topics

• Big data technologies for smart cities
• Blockchain for finance industries of Smart Cities
• Cloud computing for smart city engineering
• Context -aware Security and Privacy of smart cities
• Data Analytics Tools and Technologies for smart cities
• Data oriented Case studies of applying IoT in smart cities
• Intelligent infrastructure of Smart cities
• Internet of Things for Sustainable Development
• IoT Applications and Services in Urban Context
• Machine Learning Approaches in Smart Cities
• Middleware for Utility-based Provisioning of Smart City
• Mobile applications for smart cities
• Mobility and Smart Transportation
• Open Platforms for Smart Cities
• Privacy and Social Issues in Smart Cities
• Resilience and Sustainability of Smart cities
• Sensor and RFID applications of Smart Cities
• Smart buildings, smart homes, smart energy grids and Data Management
• Smart education
• Smart health solution
• Smart mobility and transportation
• Smart urban governance
• Urban modelling for Smart cities
• Use cases for Smart Cities

Submission Guidelines

Authors are invited to submit their full chapter by November 15, 2020 (Extended Firm). Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer requirements that can be downloaded from the (link) and the Chapter should contain in between 20-30 pages. Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:

https://easychair.org/conferences/?conf=midatasmart2020

NB: There are no submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process.

Committees

Editors

• Uttam Ghosh, Vanderbilt University, USA
• Yassine Maleh, Sultan Moulay Slimane University, Morocco
• Mamoun Alazab, Australian National University, Australia
• Al-Sakib Khan Pathan, Independent University, Bangladesh

Editorial Advisory Board and Reviewers

• Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
• Edgar Weippl, SBA Research, Austria
• Patrick Siarry, Universit de Paris 12, France
• Aswani Kumar Cherukuri, Vellore Institute of Technology, India
• Xuping Huang, Meiji University, Japan
• Sang-Bing Tsai, University of Electronic Science and Technology, China
• K.P. Chow, University of Hong Kong, Hong Kong
• Alberto Cano, Virginia Commonwealth University, USA
• Tzung-Pei Hong, National University of Kaohsiung, Taiwan
• Yudi Prayudi, Center for Digital Forensics Studies, Indonesia
• Farrokh Aminifar, Illinois Institute of Technology, USA
• Wei Cai, University of California, Irvine, USA
• Antonio J. Jara, University of Applied Sciences Western Switzerland, Switzerland
• Rafigul Islam, Charles Sturt University, Australia
• Kevin Curran, Ulster University, UK
• Shareeful Islam, University of East London, UK
• Chang-Tsun Li, University of Warwick, UK
• Rajgopal Kannan, Louisiana State University, Las Angeles, USA
• Imed Romdhani, Edinburgh Napier University, UK
• Lo'ai A. Tawalbeh, Umm Al-Qura University, Saudi Arabia
• Nilesh Uke, Pimpri Chinchwad College Of Engineering, India
• Homero Toral Cruz, Univeersity of Quintana Roo, México
• Mohamed Amine Ferrag, Guelma University, Algeria
• Hossain Shahriar, Kennesaw State University, USA
• Fanxin Kong, University of Pennsylvania, USA

Publication

The book publication schedule is as follows:

Papers Submission: November 15, 2020 (Extended Firm)

Authors notification: November 05, 2020 (First round)

Camera-ready submission: November 30, 2020

Publication date: 1^st quarter of 2021

The accepted chapters will be published in "Studies in Computational Intelligence" by Springer, h-index = 40, highly indexed in Scopus, Thomson reuters, EI, DBPL…

Contact

For questions regarding the book, please contact Professor Uttam Ghosh:

• Uttam Ghosh, Vanderbilt University, USA: ghosh.uttam@ieee.org