Faculty

Prof. YAN Zhenyu 鄢振宇教授

Research Assistant Professor (MACM)
Education: BSc (UESTC), PhD (NTU)
Research Area: Artificial Intelligence of Things; Wireless Communications and Networking; Internet Engineering and Networked Applications; System Security and Privacy

Website

Research Interests

  • Artificial Intelligence of Things (AIoT) Systems
  • Mobile Computing
  • Wireless Sensing Systems
  • Cyber-Physical Systems
  • Security and Privacy in AIoT Systems

Biography

Dr. Zhenyu YAN was a Research Fellow at Singtel Cognitive and Artificial Intelligence Lab for Enterprises, Nanyang Technological University, Singapore. He received his Ph.D. degree (2020) from Nanyang Technological University, Singapore, and his B.Sc. degree (2016) from University of Electronic Science and Technology of China.

Dr. Yan's research interests cover the broad area of Artificial Intelligence of Things (AIoT), mobile computing, cyber-physical systems, and security and privacy. His research has been published on many prestigious venues including MobiCom, SenSys, IPSN, IEEE Transactions on Mobile Computing (TMC), and ACM Transactions on Sensor Networks (TOSN). Dr. Yan has offered various services to the sensing research community including reviewers for INFOCOM, TMC, UbiComp, TOSN, and Internet of Things Journal, Review Editor of Frontiers in Communications and Networks Journal, and Social Media Chair of IEEE ICDCS 2020. He is the recipient of IPSN '21 Best Artifact Award Runner-Up.

 

Recent Selected Publications

  • Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan, "PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems", The 20th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), May 18-21, 2021. Best Artifact Award Runner-Up.
  • Zhenyu Yan, Yang Li, Rui Tan, "Clock Synchronization for Wide-Area Applications", Intelligent IoT for the Digital World (Chapter 6), Published by John Wiley & Sons, 2021.
  • Qun Song, Zhenyu Yan, Rui Tan, "Moving Target Defense for Deep Visual Sensing against Adversarial Examples", The 17th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 10-13, 2019.
  • Zhenyu Yan, Qun Song, Rui Tan, Yang Li, Adams Wai Kin Kong, "Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials", The 25th Annual International Conference on Mobile Computing and Networking (MobiCom), October 21-25, 2019.
  • Zhenyu Yan, Yang Li, Rui Tan, Jun Huang, "Application-Layer Clock Synchronization for Wearables Using Skin Electric Potentials Induced by Powerline Radiation", The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 5-8, 2017.