Kai Yang (Senior Member, IEEE) received B.Eng. degree from Southeast University,Nanjing, China, the M.S. degree from the National University of Singapore, Singapore,and the Ph.D. degree from Columbia University, New York, NY, USA. He is aDistinguished Professor with Tongji University, Shanghai, China. He was a Technical Staff Member with Bell Laboratories, Alcatel Lucent, Murray Hill, NJ, USA, a TechnicalLeader with Huawei Technologies, Plano, TX, USA. He has also been an Adjunct Faculty Member with Columbia University since 2011. He holds over 20 patents andhas been published extensively in NeurIPS, ICLR, IEEE leading journals andconferences. His current research interests include big data analytics, applied machine learning wireless communications, and signal processing. Dr. Yang was arecipient of the Eliahu Jury Award from Columbia University, the Bell LaboratoriesTeamwork Award, the Huawei Technology Breakthrough Award, and the HuaweiFuture Star Award. He serves as an Editor for the IEEE Internet of Things Journal,IEEE Communications Surveys and Tutorials, and a Guest Editor for IEEE Journal onSelected Areas in Communications. He served as the Demo/Poster Co-Chair of IEEEINFOCOM, Symposium Co-Chair of IEEE GLOBECOM, and Workshop Co-Chair ofIEEE ICME.
Yan Xin (SM'10) received the Ph.D. degree in electrical engineering from the University of Minnesota, Minneapolis, MN, in 2003. From 2004 to 2008, he was anassistant professor in the Department of Electrical and Computer Engineering, National University of Singapore. He was a research staff member at NECLaboratories America Inc., Prince-ton, New Jersey, from 2008 to 2012. He is now aResearch Director at the Standards and Mobility Innovation Lab, Samsung ResearchAmerica Inc., Berkeley Heights, NJ, USA. His research interests include AI-basednetwork operation and optimization, machine learning /deep learning/reinforcementlearning (RL) technologies, mobility management, MIMO, cognitive radio (CR),LTE/LTE-A link/system level simulators and CR prototype development. He receivedthe 2004 IEEE Marconi Prize Paper Award in wireless communications from the IEEECommunications Society. Currently, he is the Industry Liaison Officer of IEEECommunications Society Machine Learning for Communications EmergingTechnologies Initiative. He served as an Associate Editor for IEEE Transactions onVehicular Technology and served as an Editor for IEEE Transactions on WirelessCommunications. He was also a guest-editor for IEEE Wireless CommunicationMagazine.
Qi Bi (Fellow, IEEE) is Chief Expert of China Telecom and CTO of China TelecomResearch Institute, leading R&D activities with responsibilities in corporate strategy,R&D projects planning, and forward-looking directions. His specialty is in wireless including 5G and 6G innovations related to technologies, standards, and trials in ChinaTelecom. Dr. Bi is well-known for his visionary insights in industrial trends anddirections throughout his career. Previously, Dr. Bi worked at Bell Labs for 20+ years and was awarded the prestigious Bell Labs Fellow in 2002. Other awards included Bell Labs President’s Gold Awards in 2000 & 2002, the Bell Labs Innovation TeamAward in 2003, and Asian American Engineer of the Year in 2005. He is an IEEEFellow, and served as a member of the IEEE Fellow Evaluation Committee of thecommunication society between 2017 and 2019. Dr. Bi received his M.S. fromShanghai Jiao Tong University and Ph.D. from Pennsylvania State University. He holds 47 US patents, 63 European patents and 65 Chinese patents. While in ChinaTelecom, his 4G innovation project led to a large-scale commercial deployment and won the GTB Innovation Award at London in 2014. For his impressive contributions,he was given “outstanding contribution award for Innovation and entrepreneurshipfrom scholars overseas” by Beijing City in 2019. In 2022, he won a silver prize for hispatent by the China National Intellectual Property Administration.
Xingqin Lin (Senior Member, IEEE) is a Senior Standards Engineer at NVIDIA,leading 3GPP standardization and conducting research at the intersection of 5G/6Gand AI. Before joining NVIDIA, he was with Ericsson, leading 5G/6G research andstandardization in focus areas. He was an Ericsson NextGen Advisory Board member,collaborating with Ericsson Executive Team on strategic projects. He is an expert inwireless communications and technology strategy and a key contributor to 5G NR,NB-IoT, and LTE standards. He has garnered several awards, including the IEEECommunications Society Fred W. Ellersick Prize (2021), IEEE Vehicular Technology Society Early Career Award (2021), IEEE WCNC Best Paper Award (2020), and IEEE Communications Society Best Young Professional Award in Industry (2020), amongothers. He serves/served as an editor of the IEEE Communications Letters (2015-2018), IEEE Communications Magazine (2022-now), IEEE Network (2021-now), IEEEInternet of Things Magazine (2021-now), and a guest editor for several IEEE specialissues, including serving as the lead editor for the IEEE Network special issue on “TheInterplay Between Generative AI and 5G-Advanced toward 6G.” He was recognizedas an exemplary editor of the IEEE Internet of Things Magazine (2021 & 2022) and IEEE Network (2022). He is an IET Fellow.
Narayan Prasad (Senior Member, IEEE) Narayan Prasad received the B.Tech.degree in electrical engineering from IIT Delhi, New Delhi, India, in 1999, and the Ph.D. degree in electrical and computer engineering from the University of Colorado Boulder,USA, in 2004. He has been a Senior Researcher with NEC Laboratories America Inc.,Princeton, NJ, USA and a Principal Researcher/Engineer with Futurewei Technologies, Inc., Bridgewater, NJ, USA. He is currently a Principal Engineer atQualcomm Inc., Bridgewater, NJ. His research interests include multi-user space-timecommunications, information theory, and radio resource management. He has served as an Editor for the IEEE Transactions on Wireless Communications for over fiveyears and as a TPC member in numerous IEEE conferences.