Cheng Zhang

Associate Professor，PhD Tutor，School of Information Science and Engineering, Southeast University

 

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Contact

A5, CNV, No. 9 Mozhou East Road, Jiangning District, Nanjing City, Jiangsu Province, China

About Me

Cheng Zhang received the B.Eng. degree from Sichuan University, China, the M.Sc. degree from the Xi’an Electronic Engineering Research Institute (EERI), China, and the Ph.D. degree from Southeast University (SEU), China. From 2016/11 to 2017/11, he was a Visiting Student with the University of Alberta, Canada. From 2012/06 to 2013/08, he was a Radar engineer with Xi’an EERI. Since 2018/12, he has been with SEU, where he is currently an Associate Professor and a PhD Tutor.

Research Interests

1) Machine learning-assisted intelligent optimization for wireless communications; 2) High-dimensional space-time signal processing for wireless communications.

His publication list is refer to Publications

Honors and Awards

  1. IEEE WCSP, Best Paper Award, 2023/10
  2. IEEE WCNC, Best Paper Award, 2023/03
  3. The Excellent Doctoral Dissertation of Jiangsu Province, 2020/12
  4. The Excellent Doctoral Dissertation of Jiangsu Province, 2020/12
  5. The Excellent Doctoral Dissertation of Southeast University, 2020/09
  6. Jiangsu Province Shuangchuang Ph.D. Funding, 2020/09
  7. Nanjing Science and Technology Innovation Program for Overseas Students, Class B Excellent, 2020/08
  8. The Excellent Doctoral Dissertation of the China Education Society of Electronics, 2019/12
  9. The Excellent Young Scholars Support Program of Southeast University, 2019/12

Professional Activity

    Peer reviewer for top SCI journals: IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Vehicular Technology, etc.

    TPC Member for top international conferences: IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM), ect.

Teaching Situation

Teaching:

Artificial Intelligence and Deep Learning, for UG Students

Signal Processings in Wireless Communications, for UG Students

Used to Teach:

Introduction to Information and Communication Networks, for UG Students

Evolution and Prospect of Wireless Transmission Technologies, for UG Students

Signal Processings in Communications, for PG Students