Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications

About Antonino MasaracchiaKhoi Khac NguyenTrung Q. DuongVishal Sharma

Antonino Masaracchia is a lecturer at Queen Mary University of London UK. He has contributed as a guest editor to journal special issues including IET Communications. He is involved in international conferences as a publicity chair social media chair TPC member tutorial chair and reviewer. His research interests include digital twins URLLCs UAV-communications real-time optimization and AI and ML techniques for wireless communication networks. Khoi Khac Nguyen completed his PhD degree with the School of Electronics Electrical Engineering and Computer Science Queen's University Belfast UK. His research interests include machine learning and deep reinforcement learning for real-time optimisation in wireless networks reconfigurable intelligent surfaces unmanned air vehicle (UAV) communication and massive internet of things (IoTs). Trung Q. Duong is a Canada Excellence Research Chair (CERC) and full professor at Memorial University Canada. He is also a chair professor in telecommunications at Queen's University Belfast UK and a research chair of the Royal Academy of Engineering. His research interests include machine learning real-time optimisation data analytics and 5G-6G networks. He is a recipient of the Royal Academy of Engineering Research Fellowship (2016-2020) and won the Newton Prize in 2017. Vishal Sharma is a senior lecturer in the School of Electronics Electrical Engineering and Computer Science (EEECS) at Queen's University Belfast (QUB) Northern Ireland UK. His research focuses on autonomous systems UAV communications network behaviour modelling 5G and beyond blockchain and CPS security. He has authored and co-authored over 100 journal and conference articles and book chapters and co-edited two books. He is a senior member of IEEE and a professional member of ACM.