Yongduan Song
Academic background
EducationSichuan University (BS)
Chongqing University (MS)
Tennessee Technological University (PhD)
Academic work
DisciplineComputer science
Sub-disciplineArtificial neural networks
Machine learning
Nonlinear systems
InstitutionsChongqing University
North Carolina A&T State University

Yongduan Song is a Chinese computer scientist who is the dean of the Chongqing University School of Automation.

Education

Song earned a Bachelor of Science degree in electrical engineering from Sichuan University, a Master of Science in electrical engineering from Chongqing University, and a PhD in electrical and computer engineering from Tennessee Tech.[1]

Career

From 1993 to 2008, Song was a professor of engineering at North Carolina A&T State University and a Langley Distinguished Professor position at the National Institute of Aerospace from 2005 to 2008. He has received research awards from the National Science Foundation, NASA, United States Army Research Laboratory, and Office of Naval Research. He is the editor-in-chief of IEEE Transactions on Neural Networks and Learning Systems.[2] Song's research focuses on neural networks, machine learning, and nonlinear systems.[3][4]

References

  1. ↑ "Song，Yongduan - 重庆大学 - 自动化学院". www.x-mol.com. Retrieved 2022-08-28.
  2. ↑ "Yongduan Song | IEEE Control Systems Society". ieeecss.org. Retrieved 2022-08-28.
  3. ↑ Cong, Fengyu; Leung, Andrew; Wei, Qinglai (2017-06-12). Advances in Neural Networks - ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I. Springer. ISBN 978-3-319-59072-1.
  4. ↑ Chen, Fei; Ren, Wei (2020-02-04). Distributed Average Tracking in Multi-agent Systems. Springer Nature. ISBN 978-3-030-39536-0.


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