Y.-W. Peter Hong received his B.S. degree from National Taiwan University in 1999, and his Ph.D. degree from Cornell University in 2005, both in electrical engineering. He joined the Institute of Communications Engineering and the Department of Electrical Engineering at National Tsing Hua University, Hsinchu, Taiwan, in Fall 2005, where he is now a Full Professor. His research interests include distributed signal processing for sensor networks and internet of things (IoT), machine learning for wireless communications, and physical-layer secrecy.
Dr. Hong has received several awards for his research work, including Ministry of Science and Technology (MOST) Outstanding Research Award in 2019, the Chinese Institute of Electrical Engineering (CIEE) Outstanding Young Electrical Engineer Award in 2012, the Y. Z. Hsu Scientific Paper Award in 2011, the National Science Council (NSC) Wu Ta-You Memorial Award in 2011, IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2010, Junior Faculty Research Award from NTHU in 2010, the Best Paper Award for Young Authors from the IEEE ComSoc Taipei/Tainan Chapter and IEEE ITSoc Taipei Chapter in 2005, and conference paper awards at APSIPA ASC 2013 and MILCOM 2005, respectively.
Dr. Hong is currently an Area Editor for IEEE Transactions on Signal Processing. In the past, he has also served as an Editor for IEEE Transactions on Communications, and Associate Editors for IEEE Transactions on Signal Processing and IEEE Transactions on Information Forensics and Security. He is currently Vice Chair of IEEE Taipei Section, Secretary of IEEE ComSoc Communication Theory Technical Committee, and a Member of IEEE SP Society Signal Processing for Communications Technical Committee. He also served as Chair of the IEEE ComSoc Taipei Chapter during 2017-2018, and held various Co-Chair positions on the IEEE ComSoc Asia‐Pacific Board since 2014. He is currently a Distinguished Lecturer for IEEE Communication Society (2022-2023), and was also a Distinguished Lecturer for Asia-Pacific Signal and Information Processing Association (APSIPA) during 2014-2015.
- Learning from Decentralized Datasets – Optimization and Communication Aspects
- UAV Communications for Data-Gathering in Wireless Sensor Networks
- Artificial Intelligence in Wireless Communications
- Distributed Estimation in Energy Harvesting Wireless Sensor Networks – Sensor Deployment and Wireless Charging Problems
- Secret Communications in the Physical Layer – Impact of Training and Limited Channel State Information