Name: Jing Xu

Academic Title: Associate Professor

Email: xujing@hust.edu.cn

Research Interests: Internet of Things, Educational Information Technology, Big Data Analysis, Wireless Network Forensics

Education:

He received his Ph.D. degree in Information and Communication Engineering at HUST in 2011.

Employment and Work Experience:

Since 2001, he has been working at Huazhong University of Science and Technology.

From 2013 to 2014, he visited University of Michigan (USA).

Teaching:

C Programming, Computer Network

Selected Publications:

Internet of Things

[1]Jing Xu, Jiachen Li, Shimin Gong, Kun Zhu, Dusit Niyato, “Passive Relaying Game for Wireless Powered Internet of Things in Backscatter-Aided Hybrid Radio Networks”, IEEE Internet of Things Journal, 2019, 6(5): 8933-8944.

[2] Shimin Gong,Jing Xu, Dusit Niyato, Xiaoxia Huang, Zhu Han, “Backscatte r-Aided Cooperative Relay Communications in Wireless-Powered Hybrid RadioNetworks”, IEEE Network, 2019, 33(5): 234-241.

[3]Jing Xu, Yuze Zou, Shimin Gong, Lin Gao, Dusit Niyato, Wenqing Cheng, “Robust Transmissions in Wireless-Powered Multi-Relay Networks With Chance Interference Constraints”, IEEE Transactions on Communications, 2018, 67(2):973-987.

Wireless Network Forensics

[4]Jing Xu, Shimin Gong, Yuze Zou, Wei Liu, Kai Zeng, Dusit Niyato, “Redundant Sniffer Deployment for Multi-Channel Wireless Network Forensics with Unreliable Conditions”, IEEE Transactions on Cognitive Communications andNetworking, 2020, 6(1): 394-407.

[5] Wenbo Xu,Jing Xu, Jiachen Li, Wei Liu, Shimin Gong, Kai Zeng, “Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information”, IEEE Access, no. 6, pp. 34696-34706, 2018.

[6]Jing Xu, Qingsi Wang, Kai Zeng, Mingyan Liu, Wei Liu, “Sniffer Channel Assignment With Imperfect Monitoring for Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, 2016, 15(3): 1703-1715.

lEducational Information Technology

[7]Mengling Yu,Jing Xu, Jinrong Zhong, Wei Liu, Wenqing Cheng, “Behavior detection and analysis for learning process in classroom environment”, in Proceedings of 2017 IEEE Frontiers in Education Conference (FIE), 2017.

[8] Zijian Fan,Jing Xu, Wei Liu, Wenqing Cheng, “Gesture based misbehavior detection in online examination”, in Proceedings of 2016 11th International Conference on Computer Science & Education (ICCSE), 2016.

lBig Data Analysis

[9] Peijie Liao,Jing Xu, Shimin Gong, Wei Liu, Wenqing Cheng, Yingying Yi, “Clustering Analysis of MOOC Video Watching Behavior Based on Behavior Sequences”, in Proceedings of 2021 16th International Conference on Computer Science & Education (ICCSE), 2021.

[10] Xin Gu,Jing Xu, Peijie Liao, Liu Wei, Cheng Wenqing, “Are the Performance Prediction Models in MOOC General: Perspective from Big Data”, in Proceedings of2020 IEEE Learning With MOOCS (LWMOOCS), 2020.

Scientific Research Projects:

[1] Research on Key Technologies of Backscatter Communications, HubeiProvinceScienceFoundation

[2] Research on Key Technologies of Cognitive Radio Spectrum Monitoring and Infringement Forensics,National ScienceFoundation

[3] Multi-Scenes Data Perception Technology for Intelligent Teaching Environment, National Key R&D Project