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Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems

Series Editor(s): Dr. Souvik Pal and Dr. Dac-Nhuong Le

Scope: The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of Cloud-IoT Systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision making algorithms in IoT Devices. IoT based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of Analytics Reasoning and Sense-making in Big Data, which is centered in the Cloud and IoT-enabled environments.

The series seeks volumes that are empirical studies, theoretical and numerical analysis, and novel research findings. The series encourages cross-fertilization of highlighting research and knowledge of Data Analytics, Machine Learning, Data Science, and IoT sustainable developments. This series will cover the following domain of research:

• Learning analytics and Business Intelligence for cloud-IoT systems
• Big Data Analytics and Big Data Processing for IoT-based sensing data
• AI for smart data storage in cloud-based Internet of Things
• Automated reasoning and inference for cloud-IoT systems
• Analytics Reasoning and Sense-making on Big Data for IoT Devices
• Fuzzy decision making and decision support systems for Intelligent cloud infrastructure
• Data & Knowledge Engineering for Cloud-IoT systems
• Evolutionary Optimization for intelligent IoT devices
• Heterogeneous memory systems design for AI for cloud-based Internet of Things
• Ontology and Knowledge Sharing for cloud-IoT systems
• Intelligent interfaces for cloud-based Internet of Things
• Software Defined Network (SDN) for cloud-based Internet of Things
• Intelligent Object Identification for IoT systems
• Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.) for cloud-based Internet of Things
• IoT Developments: Sustainability Development Goals (SDGs)
• Big data analytics for cyber-security and privacy for cloud-IoT systems

About the Series Editor(s):
Dr. Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his MTech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 15 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a Series Editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener-Wiley Publishing (Scopus-indexed); “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”, published CRC Press, Taylor & Francis Group, USA; “Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization”, published CRC Press, Taylor & Francis Group, USA; Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

Dac-Nhuong Le has a M.Sc. and Ph.D in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is Associate Professor in Computer Science, Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. He has a total academic teaching experience of 12+ years with many publications in reputed international conferences, journals and online book chapters. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedical. Currently, he is serving on editorial boards of international journals and he has authored more than 15 computer science books by Springer, Wiley, CRC Press.

Submission to the series:
The series is open to authored and edited books as well as Handbooks and other reference works. Please submit proposals/ideas to either editor.

All the books in this series will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.



Dr. Souvik Pal
Associate Professor
Department of Computer Science & Engineering
Sister Nivedita University
(Techno India Group)
Kolkata, India


Personal E-mail: souvikpal22@gmail.com

Contact Nos. -
(+91)-94346-60327
(+91)-98304-96730

Dr. Dac-Nhuong Le
Deputy-Head, Faculty of Information Technology. Haiphong University, Haiphong, Vietnam

Mail Id: nhuongld@hus.edu.vn

Contact Nos. -
(+84)-987394900

Published and Forthcoming Titles


 
Smart Sensors for Industry 4.0
Fundamentals, Fabrication and IIoT Applications
Edited by Brojo Kishore Mishra, Sandipan Mallik and Dac-Nhuong Le
Copyright: 2024   |   Status: Published   |   Expected Pub Date:2024/02/2024   |   Hardcover
 
Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era.


 
Fog Computing for Intelligent Cloud IoT Systems
Edited by Chandan Banerjee, Anupam Ghosh, Rajdeep Chakraborty and Ahmed A. Elngar
Copyright: 2024   |   Status: Published   |   Hardcover
 
This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services


 
AI-Based Advanced Optimization Techniques for Edge Computing
Edited by Mohit Kumar, Gautam Srivastava, Ashutosh Kumar Singh and Kalka Dubey
Copyright: 2024   |   Status: Contracted   |   Expected Pub Date:2024/10/30   |   Hardcover


 
Convergence of Cloud with AI for Big Data Analytics
Foundations and Innovation
Edited by Danda B. Rawat, Lalit K Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya
Copyright: 2023   |   Status: Published   |   Hardcover
 
This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.


 
Fuzzy Logic Applications in Computer Science and Mathematics
Edited by Rahul Kar, Dac-Nhuong Le, Gunjan Mukherjee and Biswadip Basu Mallik and Ashok Kumar Shaw
Copyright: 2023   |   Status: Published   |   Expected Pub Date: 2023/07/30   |   Hardcover
 
The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering.


 
Internet of Medical Things (IoMT)
Healthcare Transformation.

Edited by R. J. Hemalatha, D. Akila, D. Balaganesh and Anand Paul
Copyright: 2022   |   Status: Published   |   Hardcover
 
Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.


 
Machine Learning Techniques and Analytics for Cloud Security.
Edited by Rajdeep Chakraborty, Anupam Ghosh and Jyotsna Kumar Mandal
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions.


 
Integration of Cloud Computing with Internet of Things
Foundations, Analytics, and Applications
Edited by Monika Mangla, Suneeta Satpathy, Bhagirathi Nayak and Sachi Nandan Mohanty
Copyright: 2021   |   Status: Published   |   Hardcover
 
The book presents a detailed overview of the state-of-the-art in cloud-IoT and its foundations, analytics and applications, as well as addresses various security and privacy challenges facing the use of this technology.


 
Digital Cities Roadmap
IoT-based architecture and Sustainable Buildings
Edited by Arun Solanki, Adarsh Kumar and Anand Nayyar
Copyright: 2021   |   Status: Published   |   Hardcover
 
This book details applications of technology to efficient digital city infrastructure and its planning including smart buildings.


 
Agricultural Informatics
Automation Using IoT and Machine Learning
Edited by Amitava Choudhury, Arindam Biswas, Manish Prateek, and Amlan Chakraborty
Copyright: 2021   |   Status: Published   |   Hardcover
 
This book elucidates how the Internet of Things and machine learning-based solutions are revolutionizing the agriculture sector for increased crop yield and management.


 
Smart Healthcare System Design
Security and Privacy Aspects
Edited by SK Hafizul Islam and Debabrata Samanta
Copyright: 2021   |   Status: Published   |   Hardcover
 
This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems.


 
Industrial Internet of Things (IIoT)
Intelligent Analytics for Predictive Maintenance

Edited by R. Anandan, G. Suseendran, Souvik Pal and Noor Zaman
Copyright: 2021   |   Status: Published   |   Hardcover
 
This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale.


 
Artificial Intelligence for Cyber Security
An IoT Perspective

Edited Noor Zaman, Mamoona Humayun, Vasaki Ponnusamy and and G. Suseendran
Copyright: 2021   |   Status: In Production   |   Hardcover