
Hongyang Chen was born in China. He received the Ph.D degree from the Univ. of Tokyo. Currently, he is a senior researcher/PI at Zhejiang Lab, China. Previously, he was a Researcher at Fujitsu Laboratories Limited, Japan.
In 2009, he was a visiting researcher in the UCLA Adaptive Systems Laboratory at University of California Los Angeles. His research interests include machine learning, intelligent IoT, ultra-reliable and low latency communications, beyond 5G, AI, V2X for self-driving, localization and location based big data analysis.
He has published 90 referred journal and conference papers in ACM Trans. on Sensor Networks, IEEE Trans. on Signal Processing, IEEE Trans. on Wireless Communications, IEICE Trans. on Fundamentals, IEEE MILCOM, IEEE GlOBECOM, IEEE ICC and more. He has served as a TPC member for some flagship conferences, including IEEE PIMRC, IEEE/IFIP EUC, IEEE VTC, IEEE CCNC, IEEE WCNC, IEEE GLOBECOM, IEEE ICC and so on. He was a organizer/chair for a Session on WSNs at IEEE MILCOM 2008. He acted as the workshop chair for GameNets 2011, co-chair for IEEE Globecom11workshop on multicell cooperation. He received the Best Paper Award from IEEE PIMRC'09 conference.
The H-index for his paper citation is 26 according to Google Scholar. He is elected as an IEEE Senior Member in 2016, IEEE ComSoc Distinguished Lecturer in 2020.
Dr. Chen served as the Editor for European Transactions on Telecommunications (ETT), the editor for IEEE Trans. on Wireless Communications, and the associate editor for IEEE Communications Letters. He is serving as an associate editor for IEEE IoT journal, a leading editor of IEEE JSTSP special issue on tensor decomposition.
Specialties: Machine learning, spatial-temperal big data, urban computing, Internet of Thing, Localization and location based service, beyond 5G, AI, V2X for self-driving.
Lecture Topics
- IoT
- 5G and B5G technologies
- Edge/Fog computing
- URLLC
- D2D communications
- V2X
- Technologies for 5G and B5G
- Vehicular communications
- Wireless Localization
- Vehicular trajectory analysis and mining
- Internet of Things and Machine-to-Machine Communication
- Ultra-Reliable and Low Latency Communications (URLLC)