姓名 : 徐晶
职称: 副教授
邮箱: xujing@hust.edu.cn

研究领域：
l 低功耗物联网
l 无线网络取证
l 智慧教育
l 大数据分析
教育背景：
2011年于华中科技大学获得信息与通信工程博士学位。
职业经历：
2001年至今，在华中科技大学电子信息与通信学院工作；
2013-2014年期间，在美国密西根大学访学。
承担课程：
C语言程序设计，计算机网络
主要发表文章：
l 低功耗物联网
[1] Jing Xu, Jiachen Li, Shimin Gong, KunZhu, Dusit Niyato, “Passive Relaying Game for Wireless Powered Internet ofThings in Backscatter-Aided Hybrid Radio Networks”, IEEE Internet of ThingsJournal, 2019, 6(5): 8933-8944.
[2] Shimin Gong, Jing Xu, Dusit Niyato, Xiaoxia Huang,Zhu Han, “Backscatte r-Aided Cooperative Relay Communications inWireless-Powered Hybrid Radio Networks”, IEEE Network, 2019, 33(5): 234-241.
[3] Jing Xu, Yuze Zou, Shimin Gong, Lin Gao,Dusit Niyato, Wenqing Cheng, “Robust Transmissions in Wireless-PoweredMulti-Relay Networks With Chance Interference Constraints”, IEEE Transactionson Communications, 2018, 67(2): 973-987.
l 无线网络取证
[4] Jing Xu, Shimin Gong, Yuze Zou, Wei Liu,Kai Zeng, Dusit Niyato, “Redundant Sniffer Deployment for Multi-ChannelWireless Network Forensics with Unreliable Conditions”, IEEE Transactions onCognitive Communications and Networking, 2020, 6(1): 394-407.
[5] Wenbo Xu, Jing Xu, Jiachen Li, Wei Liu, ShiminGong, Kai Zeng, “Robust Spectrum Monitoring in Cognitive Radio Networks WithUncertain Traffic Information”, IEEE Access, no. 6, pp. 34696-34706, 2018.
[6] Jing Xu, Qingsi Wang, Kai Zeng, MingyanLiu, Wei Liu, “Sniffer Channel Assignment With Imperfect Monitoring for CognitiveRadio Networks”, IEEE Transactions on Wireless Communications, 2016, 15(3):1703-1715.
l 智慧教育
[7] Mengling Yu, Jing Xu, Jinrong Zhong, Wei Liu, WenqingCheng, “Behavior detection and analysis for learning process in classroomenvironment”, in Proceedings of 2017 IEEE Frontiers in Education Conference(FIE), 2017.
[8] Zijian Fan, Jing Xu, Wei Liu, Wenqing Cheng, “Gesture based misbehavior detectionin online examination”, in Proceedings of 2016 11th InternationalConference on Computer Science & Education (ICCSE), 2016.
l 大数据分析
[9] Peijie Liao, Jing Xu, Shimin Gong, Wei Liu, WenqingCheng, Yingying Yi, “Clustering Analysis of MOOC Video Watching Behavior Basedon Behavior Sequences”, in Proceedings of 2021 16th International Conference onComputer Science & Education (ICCSE), 2021.
[10] Xin Gu, Jing Xu, Peijie Liao, Liu Wei, ChengWenqing, “Are thePerformance Prediction Models in MOOC General: Perspective from Big Data”,in Proceedings of 2020 IEEELearning With MOOCS (LWMOOCS), 2020.

主要科研项目：
[1] 反向散射通信关键技术研究，湖北省自然科学基金项目
[2] 认知无线电频谱监测与侵权取证关键技术研究，国家自然科学基金项目
[3] 面向智能化教学环境的多情境数据感知技术，国家重点研发计划课题