职称：教授
部门：网络空间安全系
办公室：工科楼N314
田淑娟，教授，博士生导师，中共党员，湖南省青年骨干教师培养对象，中南大学博士毕业，美国伊利诺伊理工大学博士后。
工作经历
2004 - 至今 谈球吧
2019-2020 美国伊利诺伊理工大学（博士后）
研究领域
1. 物联网、车联网
2. 边缘计算、边缘智能
3. 人工智能安全
4. 隐私保护
5. 联邦学习
代表作
[1] Shujuan Tian, Xinjie Zhu, Bochao Feng, Zhirun Zheng, Haolin Liu*, Zhetao Li, Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles, Transactions on Mobile Computing, 25, February, 2025, doi: 10.1109/TMC.2025.3543976. (CCF-A, Top )
[2] Shujuan Tian, Yi Tan, Han Wang*, Haolin Liu, and Zhetao Li，ASDIA: An Adversarial Sample to Preserve Privacy Program in Federated Learning，IEEE Transactions on Dependable and Secure Computing, 26, February, 2025, doi: 10.1109/TDSC.2025.3545599. (CCF-A)
[3] Yanchun Li，Long Huang, Shujuan Tian*, Haolin Liu, Zhetao Li, Robust Generative Adaptation Network for Open-Set Adversarial Defense, IEEE Transactions on Information Forensics and Security, vol. 20, pp. 1649-1664, 2025, doi: 10.1109/TIFS.2025.3529311. (CCF-A,Top)
[4] Xingxia Dai, Shujuan Tian*, Haolin Liu, Zhetao Li, Hongbo Jiang, Qingyong Deng. Joint optimization of offloading and caching in full-duplex-enabled edge computing networks. IEEE Transactions on Mobile Computing, 27, February, 2025, DOI: 10.1109/TMC.2025.3546263. (CCF-A,Top)
[5] Shujuan Tian, Shuhuan Xiang, Ziqi Zhou, Haipeng Dai, Enze Yu, Qingyong Deng*, Task Offloading and Resource Allocation Based onReinforcement Learning and Load Balancing inVehicular Networking, Submitted to Transactions on Consumer Electronics, IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2025.3542133. (SCI/JCR 1区,中科院2区)
[6] Shujuan Tian, Keke Xu, Wenjian Ding, Yanchun Li*, Deze Zeng, An Offloading and Pricing Mechanism based on Virtualization in Edge-Cloud Computing, Computer Networks, 2024, 248. DOI:10.1016/j.comnet.2024.110468. (CCF B)
[7] Shujuan Tian, Chi Chang, Saiqin Long*, Sangyoon Oh, Zhetao Li, Jun Long,User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing, IEEE Transactions on Services Computing, 2023,16(1): 684-697. (CCF A, Top)
[8] Yanchun Li, Xinan He, Shujuan Tian*, Zhetao Li and Saiqin Long, "Deep Feature Aggregation for Lightweight Single Image Super-Resolution," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096108. (CCF B)
[9] Shujuan Tian, Wenjian Ding, Gang Liu,Yuxia Sun, Saiqin Long and Jiang ZHU*, A Dynamic Multi-attribute Resource Bidding Mechanism with Privacy Protection in Edge Computing, Computers,Materials & Continua,2023,75(1):373-391. (SCI/ JCR 2区)
[10] Shujuan Tian, Wenjie Ren, Qingyong Deng*, Song Zou, Yanchun Li, A Predictive Energy Consumption SchedulingAlgorithm for Multi-processor HeterogeneousSystem, IEEE Transactions on Green Communications and Networking, 2022,6(2):979-991. (SCI / JCR 1区,中科院2区)
[11] Shujuan Tian*, Xianghong Deng, Pengpeng Chen, Tingrui Pei, Sangyoon Oh, Weiping Xue. A dynamic task offloading algorithm based on greedy matching in vehicle network,Ad Hoc Networks,Volume 123,2021,102639. (CCF C, SCI/ JCR1区，中科院2区)
[12] Qingyong Deng, Yan Ouyang, Shujuan Tian*, Rong Ran, Jinsong Gui, Sekiya Hiroo. Early Wake-up Ahead Node for Fast Code Dissemination in Wireless SensorNetworks, IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3877-3890. (SCI /JCR1区，中科院2区)
[13] Ting Li , Shujuan Tian*, Anfeng Liu* , Haolin Liu, and Tingrui Pei, DDSV: Optimizing Delay and Delivery Ratio for Multimedia Big Data Collection in Mobile Sensing Vehicles, IEEE Internet of Things Journal, 2018, (5)5: 3474-3486. (SCI /JCR1区，中科院1区，Top)
[14] Qingyong Deng, Shaobo Huang, ShujuanTian*, Haolin Liu, Jianglian Cao and Shuwen Jia, "A Security Trust Mechanism for Data Collection with Mobile Vehicles in Smart City," 2020 IEEE/CIC International Conference on Communications in China (ICCC), Chongqing, China, 2020, pp. 512-517. (CCF C)
[15] Saiqin Long, Hao Yu, Zhetao Li, Shujuan Tian*. Energy efficiency evaluation based on Qos Parameter specification for cloud systems [C]. 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2020. (CCF C)
[16] Saiqin Long, Zhetao Li, Yun Xing, Shujuan Tian*, Dongsheng Li, Rong Yu. A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers [C]. 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2020. (CCF C)
[17] Qingyong Deng, Hongqing Zeng, Jian Zhang, Shujuan Tian*, Jiasheng Cao, Zhetao Li, Anfeng Liu,Compressed sensing for image reconstruction via back-off and rectification of greedy algorithm, Signal Processing, 2019, Vol.157: 280-287.( SCI/ JCR 1区，中科院1区, Top)
[18] 李哲涛, 臧浪, 田淑娟*, 李仁发. 基于混合压缩感知的分簇式传感网络数据收集方法[J]. 计算机研究与发展, 2017, 54(3): 493-501. (CCF A 中文)
[19] Tian Shujuan, Fan Xiaoping, Li Zhetao, Pan Tian,Choi Youngjune,Sekiya Hiroo. Orthogonal Gradient Measurement Matrix Construction Algorithm[J]. Chinese Journal of Electronics(电子学报),2016,25(1):81-87.
[20] 田淑娟,樊晓平,裴廷睿,杨术,李哲涛. 基于支撑集保护的回环匹配算法[J]. 通信学报,2015,36(9):127-134.
科研项目
1. 子课题负责人，国家自然科学基金委联合基金重点项目，面向云边端协同的车联网感传算融合理论与关键技术研究(2024-2028)
2. 主持国家自然科学基金面上项目，蜂窝车联网中边缘智能的协同卸载与隐私保护技术研究(2022-2025)
3. 主持国家自然科学基金青年项目，面向车联网的动态数据收集与恢复算法研究(2017-2019)
4. 主持湖南省自然科学基金面上项目, 联邦学习中数据隐私保护与可靠性研究(2023-2025)
5. 主持湖南省教育厅优秀青年项目, 基于双边匹配博弈的协同内容缓存算法研究(2021-2023)
6. 主持湖南省自然科学基金青年项目，基于雾计算的车联网部署优化研究(2019-2021)
7. 国家留学基金委公派博士后项目，基于压缩感知理论的车联网数据收集与传输处理方法(2019-2020)
主讲课程
1. 数字逻辑与数字电路
2. 物联网技术与安全
3. 网络协议分析及编程
4. 移动通信基础
5. 通信原理
荣誉获奖
1. 2023.7,湖南省计算机学会科学技术奖二等奖，面向智能物联网云边协同计算的关键技术和实现（排名第一）
2. 2022.12，湖南省科学技术进步奖三等奖，物联网中多源异构数据的高能效处理关键技术及应用（排名第四）
3. 2021.9，湖南省计算机学会高等公司产品成果奖一等奖，面向新工科的多方协同拔尖创新人才培养探索实践（排名第四）
4. 2021，湖南省青年骨干教师培养对象
社会兼职
1. CCF会员，物联网专委会执委
2. 湖南省智慧网络国际科技创新合作基地主任
3. 物联网与信息安全湖南省重点实验室学术秘书
