Dr. Ferheen Ayaz is a Research Fellow at the 6G Lab, School of Engineering and Informatics, University of Sussex. She is working on blockchain-based energy exchange solutions for electric vehicles and machine learning methods to predict and optimise energy demands. Previously, she has worked on security of deep neural networks for edge devices at University of Glasgow. She completed her PhD thesis at University of Sussex on the topic of blockchain solutions for the security and privacy of vehicular networks particularly message dissemination. She has published in various IEEE flagship conferences and journals. She volunteers for IEEE Young Professionals Climate and Sustainability Task Force and has also served IEEE Women in Engineering UK and Ireland Group and N2Women Network. She has served as a general chair and technical program committee member of various workshops and tracks at international conferences including IEEE WCNC 2023, IEEE CAMAD 2023 and IEEE VTC 2024.Dr. Zhengguo Sheng is the Dean of Sussex AI Joint Institute and Reader in the Department of Engineering and Design at University of Sussex. He was a senior lecturer and lecturer at the same university between 2015-2021. He received his Ph.D. and M.S. with distinction at Imperial College London in 2011 and 2007, respectively, and his B.Sc. from the University of Electronic Science and Technology of China (UESTC) in 2006. From 2013 to 2014, he was a research associate in the Department of Electrical and Computer Engineering at University of British Columbia (UBC), Canada. From 2011 to 2013, he was with France Telecom Orange Labs as the senior researcher and project manager in M2M/IoT. His current research interests cover connected vehicles, Internet-of-Things (IoT), and cloud/edge computing. He has published over 150 journal and conference papers, 5 books, 1 patent and 2 standards contribution in OneM2M and OMA LWM2M. His current research works are funded by H2020, EPSRC, NERC, RAEng, Royal Society and University of Sussex. He is also the receipt of Royal Society Kan Tong Po International Fellowship 2020, Emerging research award 2017 from University of Sussex. Senior Member of IEEE, IET, Fellow of The Higher Education Academy (HEA).

• 1. Introduction: AI and blockchain for Wireless Communications2. Integration of AI and blockchain: An introduction from the perspective of wireless communications3. Use cases in IoT and IoV4. Use cases in UAV and non-terrestrial networks5. Applications in dynamic spectrum sharing, resource allocation, named data networking6. Industrial applications involving health telemetry and robotics7. Green communications8. Energy efficiency and net-zero9. Opportunities in 6G networks10. Quantum blockchains11. AI based Digital Twins supported by blockchain