Guanghui Wen (Senior Member, IEEE) received the Ph.D. degree in mechanical systems and control from Peking University, Beijing, China, in 2012.

Currently, he is an Endowed Chair Professor and Vice Dean with the School of Automation, Southeast University, Nanjing, China. His current research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning. 

Prof. Wen was the recipient of the National Science Fund for Distinguished Young Scholars, the China Youth Science and Technology Award, the Australian Research Council Discovery Early Career Researcher Award, and the Asia Pacific Neural Network Society Young Researcher Award. He currently serves as a Technical Editor of the IEEE/ASME Transactions on Mechatronics and an Associate Editor of the IEEE Transactions on Control of Network Systems, the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Intelligent Vehicles, the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Systems, Man and Cybernetics: Systems, the IEEE Open Journal of the Industrial Electronics Society, and the Asian Journal of Control. Prof. Wen has been named a Highly Cited Researcher by Clarivate Analytics since 2018. He is an IET Fellow.

[1] G. Wen, Y. Zhao, Z. Duan, W. Yu, and G. Chen, Containment of higher-order multi-leader multi-agent systems: A dynamic output approach, IEEE Transactions on Automatic Control, vol. 61, no. 4, pp. 1135-1140, 2016.

[2] G.  Wen and W. X. Zheng, On constructing multiple Lyapunov functions for tracking control of multiple agents with switching topologies, IEEE  Transactions on Automatic Control,  vol.  64, no. 9, pp. 3796-3803, 2019.

[3] G. Wen, X. Yu, J. Fu, H. Wang, and W. Yu, Fast distributed average tracking in multi-agent networks: The case with general linear agent dynamics, IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 997-1009, 2021.

[4] G. Wen, W. X. Zheng, and Y. Wan, Distributed robust optimization for networked agent systems with unknown nonlinearities, IEEE Transactions on Automatic Control, Full Paper, vol. 68, no. 9, pp. 5230-5244, 2023.

[5] G. Wen, Y. Lv, W. X. Zheng, J. Zhou, and J. Fu, Joint robustness of time-varying networks and its applications to resilient consensus, IEEE Transactions on Automatic Control, Full Paper, vol.  68, no. 11, pp. 6466-6480, 2023.

[6] Y. Li, Y. Ding, S. He, F. Hu, J. Duan, G. Wen*, H. Geng, Z. Wu, H. B. Gooi*, Y. Zhao, C. Zhang, S. Mei, and Z. Zeng*, Artificial intelligence-based methods for renewable power system operation, Nature Reviews Electrical Engineering, https://doi.org/10.1038/s44287-024-00018-9.

[7] G. Wen, J. Fu, H. Lu, J. Sun, and H. Shen, Robust collision avoidance and path-following of USVs with reduced conservativeness: A control barrier function-based approach, Journal of Field Robotics, doi: 10.1002/rob.22456.

[8] D. Zhao, D. W. C. Ho, and G. Wen, Generalized graph-dependent isolation of collusive attacks for interconnected systems, IEEE Transactions on Automatic Control, Full Paper, doi: 10.1109/TAC.2024.3474055. 

[9] M. Luan, G. Wen, Y. Lv, J. Zhou, and C. L. Philip Chen, Distributed constrained optimization over unbalanced time-varying digraphs: A randomized constraint solving algorithm, IEEE Transactions on Automatic Control, Full Paper, doi: 10.1109/TAC.2023.3347328.

[10] Y. Zhou, G. Wen, Y. Wan, and J. Fu, Consensus tracking control for a class of general linear hybrid multi-agent Systems: A model-free approach, Automatica, Regular Paper, vol. 156, art. no.:  111198, 2023.