陆晓宇头像

陆晓宇

  讲师

硕士生指导教师

  • 目前就职: 网络空间安全学院
  • 导师类型/类别:   硕士生指导教师
  • 个人主页:

188 访问

  • 联系电话:
  • 电子邮箱: xiaoyu.lu@njust.edu.cn
  • 邮编:
  • 工作单位:
  • 通讯地址:

教育经历


Jan. 2015 - Aug. 2019, Ph.D. Electrical Engineering,  New Jersey Institute of Technology, Newark, NJ, USA

Jan. 2013 - Jan. 2015, M.S. Electrical Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Sep. 2007 - Jun. 2011, B.E. Electrical Engineering and Automation, Nanjing University of Technology, Nanjing, China

工作经历

Mar. 2022 - Present, Lecturer, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

Mar. 2020 - Mar. 2022, Data Scientist, Sanofi Pasteur via Adecco/Yoh, Bridgewater, NJ, USA

Dec. 2019 - Mar. 2020, Research Associate (Post-doc), Stevens Institute of Technology, Hoboken, NJ, USA

Aug. 2011 - Dec. 2012, Assistant Electrical Engineer, Sinopec Yangzi Petrochemical Thermoelectric Plant, Nanjing, Jiangsu, China


指导学科

数据挖掘、社交媒体数据分析及应用、数据科学在工业中的应用


I am looking for highly motivated Master students. If you are interested in the fields of social media analysis, OR data science and its applications in the industry, please feel free to contact me by xiaoyu.lu@njust.edu.cn

Also, please feel free to contact me if you have any questions and ideas, I would like to assist.

社会、学会及学术兼职

Journal Paper Reviewer for IEEE Trans. Industrial Informatics, IEEE Trans. Intelligent Transportation Systems, IEEE Trans. Systems, Man, and Cybernetics: Systems, IEEE Internet of Things, IEEE/CAA Journal of Automatica Sinica, IEEE Trans. Computational Social Systems, etc.


Associate Editor, the 2022 IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), Oct., 2022.

Program committee, the 2022 International Conference on Cyber-physical Social Intelligence (ICCSI), Oct., 2022.

Associate Editor, the 2021 IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), Oct., 2021.

Program committee, the 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC), Dec., 2021.

Program committee, the 2021 International Conference on Cyber-physical Social Intelligence (ICCSI), Dec., 2021.


Invited talk, 2020 29th IEEE Wireless and Optical Communications Conference (WOCC 2020), May 2020.

Invited talk, IEEE SMC Chapter Seminar, New Jersey Institute of Technology (NJIT), Sep. 28, 2021.




出版专著和教材

科研创新

科研项目

教学活动

发表论文

Google Scholar: https://scholar.google.com/citations?user=ZuZYOz4AAAAJ&hl=en

1.  X. S. Lu, M. C. Zhou and K. Y. Wu. A novel fuzzy logic-based text classification method for tracking rare events on twitter. IEEE Trans. Systems, Man, and Cybernetics: Systems, 51(7), pp. 4324-4333, July 2021. 

2. X. S. Lu, M. C. Zhou, L. Qi and H. Y. Liu. Clustering algorithm-based rare-event evolution analysis via social media data. IEEE Trans. Computational Social Systems, 6(2), pp. 301-310, Apr. 2019.

3. X. Lu, M. C. Zhou, A. C. Ammari, and J. C. Ji. Hybrid Petri nets for modeling and analysis of microgrid systems. IEEE/CAA Journal of Automatica Sinica, 2016, 3(4): 347-354. 

4.  X. S. Lu, M. C. Zhou, H. Y. Liu, and L. Qi. A comparative study on two ground truth inference algorithms based on manually labeled social media data. In Proc.2019 IEEE 16th Int. Conf. Networking, Sensing, and Control (ICNSC) (pp. 436-441), Banff, Canada, 2019.

5. X. S. Lu, M. C. Zhou and L. Qi. Analyzing temporal-spatial evolution of rare events by using social media data. In Proc. 2017 IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), Banff, Canada, Oct. 5-8, 2017, pp. 2684-2689.

6.  X. S. Lu and M. C. Zhou. Analyzing the evolution of rare events via social media data and k-means Clustering Algorithm. In Proc. 2016 IEEE 13th Int. Conf. Networking, Sensing, and Control (ICNSC) (pp. 1-6), Mexico City, Mexico, 2016. 

7. Y. Yang, X. Lu, and L. Wu. Integrated data-driven framework for fast SCUC calculation. IET Generation, Transmission & Distribution, 2020,14(24), pp. 5728-5738.

8. W. H. Han, X. S. Lu, M. C. Zhou, X. H. Shen, J. X. Wang, and J. Xu. An evaluation and optimization methodology for efficient power plant programs. IEEE Trans. Systems, Man, and Cybernetics: Systems, 50(2), pp. 707-716, July 2017.

9. H. Liu, I. Chatterjee, M. C. Zhou, X. S. Lu, and A. Abusorrah. Aspect-based sentiment analysis: A Survey of Deep Learning Methods. IEEE Trans. Computational Social Systems, 7(6), pp. 1358-1375, 2020.



指导学生情况

其他信息

获奖、荣誉称号

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