Digital Twins for Wireless Networks

Muhammad Khalil Afzal (SM'16) received his MCS and M.S degrees in Computer Science from COMSATS Institute of Information Technology, Wah Campus, Pakistan in 2004 and 2007, respectively, and his Ph.D. Degree from the Department of Information and Communication Engineering, Yeungnam University, South Korea, in December 2014. He served as a lecturer from January 2008 to November 2009 at Bahauddin Zakariya University Multan Pakistan, and from December 2009 to June 2011 at King Khalid University Abha, Saudi Arabia. Currently, he is working as an Associate Professor (Tenured) in the Department of Computer Science at COMSATS, Wah Cantt Pakistan. He has served as a Guest Editor of IEEE Internet of Things Journal, Elsevier Computer Communication, IEEE Communication Magazine, Transactions for Emerging Telecommunications Technologies (ETT), Future Generation Computer Systems (Elsevier), IEEE ACCESS, Journal of Ambient Intelligence and Humanized Computing (Springer), MDPI Sensors Journal and reviewer for IEEE ACCESS, Computers and Electrical Engineering (Elsevier), Journal of Network and Computer Applications (Elsevier), FGCS, and IEEE transaction on Vehicular Technology. He is the recipient of the best paper awards of ACM 7th International Conference on Computing Communication and Networking Technologies and in International Conference on Green and Human Information Technology (ICGHIT-2018) and a fully funded scholarship for a Master and Ph.D. He is the recipient of research projects funded by the Higher Education Commission (HEC), Pakistan, the National Grassroots ICT Re-search Initiative, Ignite, Pakistan, the European Union's Programme Horizon 2020, and the British Council UK. His research interest includes wireless sensor networks, ad hoc networks, Data-driven intelligence in wireless networks, Smart Cities, 5G, and IoT.

Muhammad Naeem received the B.S. and M.S. degrees in electrical engineering from the University of Engineering and Technology, Taxi-la, Pakistan, in 2000 and 2005, respectively, and the Ph.D. degree from Simon Fraser University, Burnaby, BC, Canada, in 2011. From 2000 to 2005, he was a Senior Design Engineer with Comcept (Pvt) Ltd., Islamabad, Pakistan, where he participated in the design and development of smart card-based GSM and CDMA pay phones with the Department of Design. From 2012 to 2013, he was a Postdoctoral Research Associate with the Wireless Networks and Communications Research (WINCORE) Laboratory, at Ryerson University, Toronto, ON, Canada. Currently, he is a Professor with the Department of Electrical Engineering, COMSATS University Islamabad, Wah Campus, Wah, Pakistan. He is also a Microsoft Certified Solution Developer. His research interests include the optimization of wireless communication systems, non-convex optimization, re-source allocation in cognitive radio networks, and approximation algorithms for mixed integer programming in communication systems. He was a recipient of the NSERC CGS Scholarship.

Waleed Ejaz (S'12-M'14-SM'16) is an Associate Professor in the Department of Electrical Engineering at Lakehead University, Barrie Campus, ON, Canada. He was an Assistant Professor in the Department of Engineering & Applied Science at Thompson Rivers University, Kamloops, BC, Canada from Sep. 2018 to Aug. 2020. Previously, he held academic and research positions at Ryerson University, Carleton University, and Queen's University in Canada. He received the B.Sc. and M.Sc. degrees in Computer Engineering from the University of Engineering and Technology, Taxila, Pakistan, and the National University of Sciences and Technology, Islamabad, Pakistan, and a Ph.D. degree in Information and Communication Engineering from Sejong University, Republic of Korea, in 2014. He has co-authored over 90 papers in prestigious journals and conferences and 3 books. His current research interests include the Internet of Things (IoT), energy harvesting, 5G and beyond networks, and mobile edge compu

Chapter 1 Overview of Digital Twin, Architecture, and Applications.- Chapter 2 Dielectric and Path Loss Modeling to Support Simple and Fast Digital Twins for Wireless Human Body Area Network.- Chapter 3 ML for Digital Twin over Wireless Networks: Creation, Deployment, and Applications.- Chapter 4 Optimal Offloading in Digital Twin-assisted Multi-Stage Networks.- Chapter 5 Employing Federated Learning for the Implication of Digital Twin.- Chapter 6 Security Attacks in Digital Twin-Enabled Wireless System.- Chapter 7 Metaverse Enabled UAV in Disaster Scenario.- Chapter 8 Digital Twin for UAVs: Architecture, Framework, Challenges and Solutions.