朱涛，男，1987年生，博士，副教授，硕士生导师。于中南大学和中国科学技术大学获得计算机科学与技术专业学士、博士学位。曾任一线互联网公司大数据算法设计工程师，北京科技大学教师、博士后。主讲大数据技术（Hadoop,Spark等）、大数据与深度学习和、云计算技术等课程，发表SCI/EI论文五十余篇，引用650+。现任Chair of IEEE Smart World Technical Committee Task Force on "User-Centred Smart Systems，PC co-chair of IEEE Digital Twin 2023，多次担任国际学术会议技术委员会委员，SCI期刊客座编辑，审稿人。研究兴趣包括：智能感知，计算智能，物联网，大数据和人工智能技术在健康领域的应用。主持或参与多项国家级、省部级教学、科研课题，曾获北京市科学技术二等奖。联系方式：tzhu{at}usc.edu.cn ({at}换成@ )，实验室主页https://diheal.github.io
研究生要求：专业成绩排名前列，编码能力强，喜欢学习和科研；有机器学习、物联网和竞赛背景优先，联系请附本科成绩单。
近年来部分论文
1. Negative selection by clustering for contrastive learning in human activity recognition,J Wang, T Zhu, L Chen, H Ning, Y Wan, IEEE Internet of Things Journal, 2023 (中科院SCI一区)
2. CASL: Capturing Activity Semantics through Location Information for enhanced activity recognition, X Zhang, C Zhang, T Zhu, L Chen, F Zhou, H Ning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
3. Parameter identification and state estimation for nuclear reactor operation digital twin,H Gong, T Zhu, Z Chen, Y Wan, Q Li, Annals of Nuclear Energy, 2023 (中科院SCI小类一区)
4. A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark, H Ling, X Zhu, T Zhu, M Nie, Z Liu, Z Liu, Entropy 25 (2), 259, 2023
5. Exploring LoRa and Deep Learning-Based Wireless Activity Recognition,Y Xiao, Y Chen, M Nie, T Zhu, Z Liu, C Liu, Electronics 12 (3), 629, 2023
6. EvoDCMMO: Benchmarking and solving dynamic constrained multimodal optimization problems,X Lin, W Luo, Y Qiao, P Xu, T Zhu, Swarm and Evolutionary Computation 75, 101184, 2022 (中科院SCI一区)
7. Sensor Data Augmentation by Resampling in Contrastive Learning for Human Activity Recognition, J Wang, T Zhu, J Gan, LL Chen, H Ning, Y Wan, IEEE Sensors Journal 22 (23), 22994-23008 10, 2022 (中科院SCI二区 TOP)
8. Federated Markov Logic Network for indoor activity recognition in Internet of Things,C Zhang, X Ren, T Zhu, F Zhou, H Liu, Q Lu, H Ning, Knowledge-Based Systems 253, 109553, 2022 (中科院SCI一区)
9. MCLA: Research on cumulative learning of Markov Logic Network, S Cui, T Zhu, X Zhang, H Ning, Knowledge-Based Systems, 108352, 2022, (中科院SCI一区)
10. Few-shot activity learning by dual Markov logic networks, Z Zhang, T Zhu, D Gao, J Xu, H Liu, H Ning, Knowledge-Based Systems, 108158, 2022 (中科院SCI一区)
11. Classroom student posture recognition based on an improved high-resolution network, Y Zhang, T Zhu, H Ning, Z Liu, EURASIP Journal on Wireless Communications and Networking 2021 (1), 1-15, 2021
12. On Followers Search, L Ni, W Luo, T Zhu, P Xu, IEEE Transactions on Computational Social Systems 8 (5), 1068-1082, 2021 (中科院SCI二区)
13. Multi-resident type recognition based on ambient sensors activity, Q Li, W Huangfu, F Farha, T Zhu, S Yang, L Chen, H Ning, Future Generation Computer Systems 112, 108-115, 2020 (中科院SCI二区，TOP)
14. Guest editorial: Special issue on data intelligence in sustainable computing, T Zhu, W Luo, J Cao, H Lei, Sustainable Computing: Informatics and Systems 25, 100375, 2020
15. Making use of observable parameters in evolutionary dynamic optimization, T Zhu, W Luo, C Bu, H Ning, Information Sciences 512, 708-725, 2020 (中科院SCI一区)
16. A hybrid approach to inferring the Internet of Things for complex activity recognition, Q Li, H Ning, T Zhu, S Cui, L Chen, EURASIP Journal on Wireless Communications and Networking 2019 (1), 1-11, 2019
17. A clonal selection algorithm for dynamic multimodal function optimization, W Luo, X Lin, T Zhu, P Xu, Swarm and Evolutionary Computation 50, 100459, 2019 (中科院SCI一区)
18. Species and memory enhanced differential evolution for optimal power flow under double-sided uncertainties, C Bu, W Luo, T Zhu, R Yi, B Yang, IEEE Transactions on Sustainable Computing 5 (3), 403-415, 2019 (中科院SCI二区)
19. A semantic-based inference control algorithm for OWL repository privacy protection, Y Qi, X Yao, T Zhu, H Ning, Computer Networks 156, 1-8, 2019 (CCF B)
20. A novel ontology consistent with acknowledged standards in smart homes, H Ning, F Shi, T Zhu, Q Li, L Chen, Computer Networks 148, 101-107, 2019 (CCF B)
21. A survey of RDF management technologies and benchmark datasets, Z Pan, T Zhu, H Liu, H Ning, Journal of Ambient Intelligence and Humanized Computing 9 (5), 1693-1704, 2018
22. Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems, T Zhu, Y Hao, W Luo, H Ning, Applied soft computing 67, 812-821, 2018 (中科院SCI二区)
23. A survey of data semantization in internet of things, F Shi, Q Li, T Zhu, H Ning, Sensors 18 (1), 313, 2018
24. STLF: Spatial-temporal-logical knowledge representation and object mapping framework, S Dhelim, H Ning, T Zhu, 2016 IEEE International Conference on Systems, Man, and Cybernetics 2016
25. Internet use and its impact on individual physical health, Y Zheng, D Wei, J Li, T Zhu, H Ning, IEEE Access 4, 5135-5142, 2016
26. Accelerate population-based stochastic search algorithms with memory for optima tracking on dynamic power systems, T Zhu, W Luo, C Bu, L Yue, IEEE transactions on power systems 31 (1), 268-277, 2015 (中科院SCI一区)
27. Dynamic optimization facilitated by the memory tree, T Zhu, W Luo, L Yue, Soft computing 19 (3), 547-566, 2015（CCF C）
主要项目
1.国家自然科学基金，青年项目，学习增强的演化灰盒动态优化算法研究，2021/01-2023/12，主持
2.物联网中物在赛博空间中的赛博物研究，中央高校基本科研业务费（北京科技大学），2015-2017， 主持
3.基于传感器和知识数据混合驱动方法的活动识别研究，南华大学科研启动项目，2019-2021，主持
4.湖南省自然科学基金委，青年项目，演化动态优化中灰盒问题的模型和算法研究，2019-01-2021-12主持
5.湖南省教育厅，一般项目，老年人日常行为数据的非侵入式采集技术研究，2022-2023
