Editorial: Special Topic onMachine Learning at Network Edges
TAO Meixia, HUANG Kaibin
Online:2020-06-25
Published:2020-08-07
About author:TAO Meixia is currently a professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. She received the B.S. degree in electronic engineering from Fudan University, China in 1999, and the Ph.D. degree in electrical and electronic engineering from Hong Kong University of Science and Technology， China in 2003. Her current research interests include wireless caching, edge computing, physical layer multicasting, and resource allocation. She has published over 200 peer-reviewed IEEE journal and conference papers. Dr. TAO is the recipient of the 2019 IEEE Marconi Prize Paper Award and the 2013 IEEE Heinrich Hertz Paper Award. She also receives the IEEE/CIC ICCC 2015 Best Paper Award and the WCSP 2012 Best Paper Award. She served as a member of the Executive Editorial Committee of IEEE Transactions on Wireless Communications during 2015–2019. She was also on the Editorial Board of several other journals as Editor or Guest Editor, including IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications. She served as Symposium Oversight Chair of IEEE ICC 2019, Symposium Co-Chair of IEEE GLOBECOM 2018, the TPC Chair of IEEE/CIC ICCC 2014 and Symposium Co-Chair of IEEE ICC 2015. She is a Fellow of IEEE.|HUANG Kaibin received the B.Eng. (first-class honors) and the M.Eng. from the National University of Singapore, respectively, and the Ph.D. degree from The University of Texas at Austin (UT Austin), USA, all in electrical engineering. Presently, he is an associate professor in the Department of Electrical and Electronic Engineering at The University of Hong Kong, China. He has served on the editorial boards of numerous IEEE journals including IEEE Transactions on Green Communications and Networking, IEEE Transactions on Wireless Communications, IEEE Journal of Selected Areas in Communication, and IEEE Wireless Communications Letters. Dr. HUANG received several awards from IEEE Communication Society including the Best Tutorial Paper Award in 2019, two Asia Pacific Outstanding Paper Awards in 2015 and 2019, and Best Paper Awards from IEEE GLOBECOM 2006 and IEE/CIC ICCC 2018. Other recognitions include a Second Class Award in Research Achievements from China Ministry of Education in 2018, an Outstanding Teaching Award from Yonsei University, and a University Continuing Fellowship from UT Austin. He is named a Highly Cited Scientist by Clarivate Analytics in 2019.
