AI and Its Convergence With Communication Technologies - Softcover

Softcover

ISBN 10: 1668477068 ISBN 13: 9781668477069

Publisher: Information Science Reference, 2023

Synopsis

The integration of Artificial Intelligence (AI) with Communication Technologies (ICT) is a critical aspect of research and development today, but it poses numerous challenges and bottlenecks. To address these issues, the book AI and Its Convergence with Communication Technologies , edited by a team of expert scholars, provides a comprehensive overview of the state-of-the-art research and practical challenges related to AI's convergence with ICT. It is designed to benefit engineers, professionals, scientists, and academicians, providing them with insights into the ICT industry and research from an AI perspective. The book covers a wide range of topics, including recent advancements and applications in AI, AI in signal processing, AI in mobile and modern wireless networks, and AI towards automation. It also addresses potential applications of AI in national defense, military technology, hybrid warfare, medical and 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. It provides a brief history of AI in ICT and a comprehensive introduction to ICT-related methods and techniques in artificial intelligence and machine learning. The book emphasizes the role of AI in extracting knowledge and making predictions in decision-making strategies for businesses, management, and governance. Overall, this book offers a significant contribution to the understanding of AI and its convergence with communication technologies, making it a must-read for scholars and researchers who seek to understand the intersection of AI and ICT and how it impacts modern industries and research.

About this title

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.

Edition details

• Publisher: Information Science Reference
• Publication date: 2023
• Language: English
• ISBN 10: 1668477068
• ISBN 13: 9781668477069
• Binding: Paperback
• Number of pages: 308
• Editor: Muneer Badar, Shaikh Faisal Karim, Mahoto Naeem, Talpur Shahnawaz, Garcia Jordi