陈辞，国家青年高层次人才，博士生导师，广东工业大学青年百人特聘教授。围绕强化学习、弹性控制系统、网络化控制系统等领域开展研究，目前已发表/录用论文共40余篇。 第一作者期刊论文20余篇，包括8篇Automatica和11篇IEEE Transactions (含4篇IEEE TAC， 其中1篇TAC Full Paper)。此外，通讯作者发表5篇IEEE Transactions 。
目前担任期刊IEEE Transactions on Neural Networks and Learning Systems的Associate Editor，International Journal of Robust and Nonlinear Control的Subject Editor以及Advanced Control for Applications的Associate Editor。2019年获瑞典瓦伦堡基金会与新加坡南洋理工大学联合冠名基金项目Wallenberg-NTU Presidential Postdoctoral Fellowship. https://www.ntu.edu.sg/research/research-careers/presidential-postdoctoral-fellowship-(ppf)/wallenberg-ntu-ppf-2019-2021
Dr. Ci Chen works in reinforcement learning for feedback control and resilient control of autonomous systems. He has published over 40 journal papers with more than half of the papers in top journals such as IEEE Transactions on Automatic Control, Automatica, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Chen is a professor with the Guangdong University of Technology, Guangzhou, China. He is an awardee of National Science Fund for Excellent Scholars (Overseas) from the National Natural Science Foundation of China. He was awarded Wallenberg - NTU Presidential Postdoctoral Fellowship by Nanyang Technological University (NTU, Singapore) and the Swedish Wallenberg-funded research program WASP (Wallenberg AI, Autonomous Systems and Software Program). https://www.ntu.edu.sg/research/research-careers/presidential-postdoctoral-fellowship-(ppf)/wallenberg-ntu-ppf-2019-2021
Since 2018, Dr Chen has been serving as an Associate editor of IEEE Transactions on Neural Networks and Learning Systems, an Editor of International Journal of Robust and Nonlinear Control, and an Associate Editor of Advanced Control for Applications. He is a member of the Chinese Association for Artificial Intelligence.
Research keywords: reinforcement learning, adaptive/approximate dynamical programming, adaptive systems, cooperative learning systems, resilient systems
Email: firstname.lastname@example.org Website: https://teacher.gdut.edu.cn/chen/