Speakers
Prof. Kun Yang Member of Academia Europaea (MAE), IEEE Fellow, IET Fellow University of Essex Professor Kun Yang is a Member of Academia Europaea (MAE), a Fellow of IEEE, a Fellow of IET (Institute of Engineering and Technology), a Fellow of BCS (British Computing Society) and a Distinguished Member (DM) of ACM.
He received his PhD degree from University College London (UCL) in the area of communication networks and services. After 3 years of 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 the University of Essex in 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). He coordinated one EU FP7 research project (EVANS). I have been a Judge of GSMA Global Mobile Awards (MWC-Barcelona) since 2019 and a member of the UK EPSRC Peer Review College since 2008. I serve on editorial boards of both IEEE journals (e.g., IEEE TNSE, ComMag, WCL) and non-IEEE journals (e.g., Deputy EiC of IET Smart Cities). He has been actively organizing international conferences/symposia/workshops, such as the IEEE ComSoc flagship conference Globecom. He is a Distinguished Lecturer of IEEE ComSoc (2020-2021). | |
Prof. Guangjie Han IEEE Fellow, IET/IEE Fellow, AAIA Fellow Hohai University Guangjie Han (Fellow, IEEE) is currently a Professor at the Department of Internet of Things Engineering, Hohai University, Changzhou, China. He received his Ph.D. degree from Northeastern University, Shenyang, China, in 2004. In February 2008, he finished his work as a Postdoctoral Researcher with the Department of Computer Science, Chonnam National University, Gwangju, Korea. From October 2010 to October 2011, he was a Visiting Research Scholar at Osaka University, Suita, Japan. From January 2017 to February 2017, he was a Visiting Professor at the City University of Hong Kong, China. From July 2017 to July 2020, he was a Distinguished Professor at Dalian University of Technology, China. His current research interests include the Internet of Things, Industrial Internet, Machine Learning and Artificial Intelligence, Mobile Computing, Security, and Privacy. Dr. Han has over 500 peer-reviewed journal and conference papers, in addition to 160 granted and pending patents. Currently, his H-index is 59 and i10-index is 249 in Google Citation (Google Scholar). The total citation count of his papers has risen above 12900+ times. Dr. Han is a Fellow of the UK Institution of Engineering and Technology (FIET). He has served on the Editorial Boards of up to 10 international journals, including the IEEE Systems, IEEE/CCA JAS, IEEE Network, etc. He has guest-edited several special issues in IEEE Journals and Magazines, including IEEE JSAC, IEEE Communications, IEEE Wireless Communications, IEEE Transactions on Industrial Informatics, Computer Networks, etc. Dr. Han has also served as chair of organizing and technical committees at many international conferences. He has been awarded the 2020 IEEE Systems Journal Annual Best Paper Award and the 2017-2019 IEEE ACCESS Outstanding Associate Editor Award. He is a Fellow of IEEE. |
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2024 International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI 2024) http://www.ahpcai.com/