Dechao Chen received the B.S. degree in Electronic Information Science and Technology from Guangdong University of Technology, Guangzhou, China, in 2013, and the Ph.D. degree in Information and Communication Engineering from Sun Yat-sen University, Guangzhou, China, in 2018. He was a Postdoctoral Fellow at the Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. He is currently an Associate Professor with School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China. His research interests include robotics, neural networks, dynamics systems, control systems, optimization, and machine learning. He has now published totally more than 30 scientific works of various types with the number of Google citations being more then 300 in recent 5 years. These include more than 20 SCI papers and 8 IEEE-Transactions or magazine papers. Dr. Chen is currently on the editorial board of the International Journal of Robotics and Control.
 Dechao Chen, Shuai Li, Faa-Jeng Lin, Qing Wu, New Super-Twisting Zeroing Neural-Dynamics Model for Tracking Control of Parallel Robots: A Finite-Time and Robust Solution, IEEE Transactions on Cybernetics, to be published, DOI: 10.1109/TCYB.2019.2930662.
 Dechao Chen, Shuai Li, Qing Wu, Rejecting Chaotic Disturbances Using a Super-Exponential-Zeroing Neurodynamic Approach for Synchronization of Chaotic Sensor Systems, Sensors: 2019, 19/1, 74.
 Dechao Chen, Shuai Li, Qing Wu, Xin Luo, Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression, Neurocomputing, to be published, doi: 10.1016/j.neucom.2019.08.085.
 Dechao Chen, Shuai Li, and Qing Wu. A Novel Disturbance Rejection Zeroing Neurodynamic Approach for Robust Synchronization of Chaotic Systems. IEEE Access, 2019, vol. 7, pp. 121184-121198.
 Dechao Chen, Yunong Zhang, Shuai Li. Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method IEEE Transactions on Industrial Informatics: 2018, 14/7, 3044-3053.(ESI Highly Cited Paper)
 Dechao Chen, Yunong Zhang. Robust Zeroing Neural-Dynamics and Its Time-Varying Disturbances Suppression Model Applied to Mobile Robot Manipulators IEEE Transactions on Neural Networks and Learning Systems: 2018, 29/9, 4385-4397.
 Dechao Chen, Yunong Zhang. A Hybrid Multi-Objective Scheme Applied to Redundant Robot Manipulators
IEEE Transactions on Automation Science and Engineering: 2017, 14/3, 1337-1350.
 Dechao Chen, Yunong Zhang, Shuai Li. Zeroing neural-dynamics approach and its robust and rapid solution for parallel robot manipulators against superposition of multiple disturbances. Neurocomputing: 2018, 275, 845-858.
 Dechao Chen, Yunong Zhang. Minimum jerk norm scheme applied to obstacle avoidance of redundant robot arm with jerk bounded and feedback control. IET Control Theory and Applications: 2016, 10/15, 1896-1903
 Dechao Chen, Yunong Zhang. Jerk-level synchronous repetitive motion scheme with gradient-type and zeroing-type dynamics algorithms applied to dual-arm redundant robot system control. International Journal of Systems Science: 2017, 48/1, 1-12.
1. 2017 National Scholarship for Doctoral Students.
2. 2016 National Scholarship for Doctoral Students.
3. 2014 National Scholarship for Postgraduate Students.