Biography: Prof. Yuanwei Liu is an Associate Professor with the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research interests include next generation multiple access, integrated sensing and communications reconfigurable intelligent surface, and near-field communications. He is a Fellow of IEEE, a Fellow of AAIA, Web of Science Highly Cited Researcher since 2021 to present. He is listed as one of 35 Innovators Under 35 China in 2022 by MIT Technology Review and. He serves as an IEEE Communication Society Distinguished Lecturer, an IEEE Vehicular Technology Society Distinguished Lecturer, the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative, the rapporteur of ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces, and the UK representative for the URSI Commission C on Radio communication Systems and Signal Processing. He received Early Career Researcher Research and Innovation awards of Queen Mary University of London, IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee Early Achievement Award, IEEE Communication Theory Technical Committee (CTTC) 2021 Early Achievement Award. He received IEEE ComSoc Outstanding Nominee for Best Young Professionals Award in 2021. He is the co-recipient of The IEEE Communications Society Heinrich Hertz Award, the Best Student Paper Award in IEEE VTC2022-Fall, the Best Paper Award in ISWCS 2022, the 2022 IEEE SPCC-TC Best Paper Award and the IEEE ICCT 2023 Best Paper Award. He serves as the Co-Editor-in-Chief of IEEE ComSoc TC Newsletter, an Area Editor of IEEE Communications Letters, an Editor of IEEE Communications Surveys & Tutorials, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Network Science and Engineering. He serves as the (leading) Guest Editors for Proceedings of the IEEE/IEEE JSAC/JSTSP/Network/TGCN.
