This new volume presents a selection of state-of-the-art technological advancements in various application areas of IoT, network technologies, and software engineering that address unsolved open issues in the field of computational intelligence. The volume focuses on empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each.
The chapters on smart technologies address their application in such areas as communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, etc.
The volume goes on to discuss computational intelligence in network technologies. These include comparisons of cryptography mechanisms, internet privacy protection, satellite communication technology, ant colony optimization algorithms, etc.
The topics on computational intelligence in software engineering include security optimization via software-defined networking (SDN), education-based interactive automated agent, data warehouse requirement engineering, and more.
The research contributions presented here by young and dynamic researchers and experts from industry and academia share a host of emerging technologies that support their effective operations in computational intelligence in information systems.
These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.
About the Author: Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is working as Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also working as Head of the Research Cluster of Computing (RCC) to facilitate students in their research and innovative projects.
Manpreet Kaur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. She is currently working in the domains of machine learning, deep learning, and natural language processing. She is a Senior Member, IEEE (USA).
Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University (MRU), Faridabad, India. He has more than 10 years of teaching and research experience in leading institutions of India. He earned his PhD (Computer Engineering) from the University of Delhi in 2017 in the field of data mining. His current research interests are data mining, dynamic graph mining, machine learning and big data analytics.
Rajeev Kumar Arya, PhD, is currently an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuits design.
Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering (ISE) in the Centre of High Intelligent Computing (CHIC) at the University of Huddersfield, United Kingdom, having previously been team leader in the IT Department of the publishing company Charlesworth Group.
