Synopsis
In today's world, the integration of Artificial Intelligence (AI) with Communication Technologies (ICT) has become an essential aspect of research and development. However, this convergence poses numerous challenges and bottlenecks that need to be addressed. Introducing AI and Its Convergence with Communication Technologies, a research book edited by a team of expert scholars, including Badar Muneer, Faisal Shaikh, Naeem Mahoto, Shahnawaz Talpur, and Jordi Garcia. This book offers an interdisciplinary platform that provides a comprehensive overview of the state-of-the-art research and practical challenges related to the AI convergence with ICT. It is designed for engineers, professionals, scientists, and academicians, providing them with insights into the ICT industry and research from an AI expert perspective. Readers associated with the field of computer science, information technology, software engineering, telecommunication, and electronics engineering will find this book to be beneficial. AI and Its Convergence with Communication Technologies covers a wide range of topics, including recent advancements and applications in AI; its uses in signal processing, mobile and modern wireless networks, decision-making and policy-making; and AI towards automation. It also addresses the potential applications of AI in the domains of national defense, military technology, hybrid warfare, medical & health sciences, and energy-efficient systems. Furthermore, the book highlights the strengths and weaknesses of AI convergence with ICT, along with emerging frontiers and recommendations. The book offers a brief history of AI in ICT and a comprehensive introduction to ICT-related methods and techniques in artificial intelligence and machine learning. It also covers data management with AI, data fusion, and knowledge discovery, as well as the use of AI in digital image processing. The book also emphasizes the role of AI in extracting knowledge and making predictions in decision-making strategies for businesses, management, and governance. Overall, this book provides a significant contribution to the understanding of AI and its convergence with communication technologies. While presenting a general trend and emergence of AI in ICT and related areas, it also highlights the challenges, limitations, and emerging frontiers. This book is a must-read for scholars and researchers who seek to understand the growing intersection of these two technologies and how it impacts modern industries and research.
About the Authors
Badar Muneer is currently working as Associate Professor in a leading Engineering University. I am also serving as Director of Antennas & Microwave Laboratory and FM Radio Station. He has 12+ years of experience working in industry as well as in academia. In the past, He was associated with satellite and broadcast media industry as Satellite Engineer. He has been involved in teaching and R&D in antennas and microwaves for the last 8 years. He was also engaged in University of Malaga, Spain as a visiting Faculty under ERASMUS+ program. He was awarded CAS President’s prestigious Postdoctoral Fellowship in 2016. I am a reviewer for several renowned journals. He is an active IEEE Senior Member and advisor of IEEE MTT society SBC at MUET. His research expertise includes but not limited to antennas, microwave and mm-wave circuits and components testing and design, wearable biomedical devices electronics, Smart city solutions, high frequency simulation and fabrication, metamaterials, liquid alloy-based antennas, internet of things and biomedical devices, satellite, and broadcast systems.
Faisal K. Shaikh is working as a Professor at Department of Telecommunication Engg., Mehran University of Engineering & Technology (MUET), Jamshoro. He received Ph.D. in Computer Science from the Technische Universität Darmstadt, Germany. His research areas include Internet of Things (IoT), Wireless Sensor Networks, Vehicular Adhoc Networks, Smart Homes and Cities, Body Area Networks, and Underwater Sensor Networks. He is a founder of IoT Research Laboratory at MUET. He has published more than 125 refereed journal, conference, and book chapters. He is a senior member of IEEE, IEEE COMSOC, IEEE Computer Society and life member of PEC.
Naeem Mahoto is an Associate Professor and Chairman of the Department of Software Engineering, MUET Pakistan. He received his Master degree in Communication Systems and Networks from MUET, Pakistan and Ph.D. in Information Engineering from Politecnico di Torino, Italy. His research interests are focused on the field of data mining and bioinformatics. His research activities are also devoted to the summarization of web documents, sentiment analysis, data visualization, and data mining.
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