Integrated Data and Energy Transfer in Wireless Networks

About Jie HuKun Yang

Jie Hu received his B.Eng. and M.Sc. degrees from Beijing University of Posts and Telecommunications China in 2008 and 2011 respectively and received the Ph.D. degree from the School of Electronics and Computer Science University of Southampton U.K. in 2015. Since March 2016 he has been working with the School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) China as an Associate Professor. He has been active in the research of wireless communication & networking for more than 10 years. So far he has authored a book which is published by Springer and 38 SCI/EI indexed journal/conference papers of high quality most of which are published by IEEE. He has been a regular reviewer for many prestigious IEEE journals e.g. IEEE TVT IEEE TCOM IEEE TWC IEEE WCM IEEE CM IEEE IoT journal and IEEE Access etc. He has also been in the TPC of several top conferences e.g. IEEE ICC IEEE Globecom IEEE WCSP etc. He has served for ZTE Communications as the guest editor of the special issue ``Wireless Data and Energy Integrated Communication Networks. He is also in great partnership with industry such as Huawei and ZTE. He has a broad range of interests in wireless communication and networking such as cognitive radio and cognitive networks mobile social networks data and energy integrated networks as well as communication and computation convergence. Kun Yang received his PhD degree from University College London (UCL) in the area of communication networks and services. After 3 years' post-doc research in the Department of EEE at UCL working on EU research projects such as FAIN (Future Active IP Networks) MANTRIP and CONTEXT he moved to University of Essex at 2003 to become an academic staff. Now he is a Chair Professor in the School of Computer Science and Electronic Engineering (CSEE) University of Essex leading the Network Convergence Laboratory (NCL). His current research activities are focused on advancing new technologies related to communication and network systems and on the fundamentals underlying them including communication theory algorithms network science machine learning and edge intelligence. In particular he is interested in energy aspects of future communication systems such as 6G promoting energy self-sustainability via both energy efficiency (green communications and networking) and energy harvesting (wireless charging). He has published 300+ technical papers and 2 monographs in the above areas. He has been managing research projects funded by various sources such as UK EPSRC EU FP7/H2020 and industries (e.g. British Telecom).