Zhuo Wang graduated with a Ph.D. from the University of Illinois at Chicago in 2013. He worked as a postdoctoral researcher in the Department of Electronic and Computer Engineering at the University of Alberta in Canada from 2013 to 2014. From 2014 to 2015, he served as a research assistant professor and postdoctoral researcher at the Fok Ying Tung Research Institute of the Hong Kong University of Science and Technology. Zhuo Wang is the Winner of the National Youth Talent Program 2015. He is currently the Head of the Department of Intelligent Perception Engineering, a professor and a doctoral supervisor at the School of Instrumentation and Optoelectronic Engineering, Beihang University.
Prof. Wang won the Second Prize of the Natural Science Award of the Chinese Association of Automation in 2024 (1/5); the Second Prize of Shandong Provincial Natural Science Award in 2024 (2/2); Honorary Title of the 7th Young Scientist of Chinese Association of Automation (CAA) in 2021; the First Prize in Natural Science (2/4) of the Ministry of Education of China in 2019; the Outstanding Paper Award (2/2) of the 17th Chinese Intelligent Systems Conference in 2022; the Best Paper Award (1st) of IEEE 8th Data Driven Control and Learning Systems Conference in 2019; the Best Paper Award (1st) of the 25th International Conference on Artificial Life and Robotics in 2020. As the doctoral supervisor, Prof. Wang and his students won the Best Student Paper Award of the 4th International Conference on Control and Robotics in 2022, the Best Student Paper Award of the 38th Youth Academic Annual Conference of CAA in 2023, as well as the First Prize Scholarship of China Instrument and Control Society.
Prof. Wang is a Member of Quantum Computing Systems and Control (QCSC) Technical Committee of The IEEE Control Systems Society, the Deputy Director of Standing Committee of the CAA Youth Work Committee, the Deputy Secretary-General of the Data Driven Control, Learning and Optimization Professional Committee of CAA, a Member of Chinese Association for Artificial Intelligence (CAAI) the Autonomous Unmanned System Professional Committee. He serves as an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems; an Associate Editor of The International Journal of Intelligent Control and Systems; a Member of the Editorial Board of Acta Automatica Sinica, a Member of the Editorial Board of Control Theory & Applications, as well as a Member of the Editorial Board of Pattern Recognition and Artificial Intelligence.
Zhuo Wang, Panshuo Li*, Renquan Lu, and Chenghong Wang,《多时滞离散系统性能分析（Characteristics Analysis of Multi Time Delay Discrete Systems）》，ISBN: 978-7-03-072793-0, Science Press, 2022.
Feng Li, Zhuo Wang*, Ruigang Wang, Haoying Pang, Jiahang Li, Min Zhang, Zhihong Wu, Xinxiu Zhou**, and Xusheng Lei, “Heating Temperature Control and Driving Voltage Nonlinear Feedback of LCVR for Stabilizing Laser Power in Atomic Spin Gyroscopes,” Nonlinear Dynamics, vol. 113, no. 14, pp. 18399--18411, Jul. 2025.
Feng Li, Zhuo Wang*, Ruigang Wang, Haoying Pang**, Wenfeng Fan, Xinxiu Zhou, Xusheng Lei, and Wei Quan, “Exponential Decay Adaptive Robust Control for Electron Spin Magnetization in Atomic Spin Gyroscopes,” Control Engineering Practice, vol. 163, pp. (106405)1--9, Oct. 2025.
Bodong Qin, Zhuo Wang*, Haoying Pang**, Hao Xia, and Xusheng Lei, “Deep Learning for Online Electron Spin Relaxation Measurement and Its Application in Spin-Exchange Relaxation-Free Co-magnetometers,” Measurement, vol. 253, Part A, pp. (117426)1--9, 1 Sept.2025.
Zehua Liu, Yifan Yan, Zhuo Wang*, Haoying Pang**, Xinhui Liu, and Jixi Lu, “Enhancing Long-Term Stability of Atomic Spin Polarization Based on Data-Fusion in SERF Co-magnetometer,” Measurement, vol. 256, Part B, pp. 118207(1--9), 1 Dec. 2025.
Ruigang Wang, Zhuo Wang*, Sixun Liu, Tao Li, Feng Li, Bodong Qin, and Qinglai Wei, “Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming,” IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(5): 5835-5847.
Zhuo Wang, Ruigang Wang*, Sixun Liu, Li Xing, and Bodong Qin, “Fractional Exponential Feedback Control for Finite-Time Stabilization and Its Application in A Spin-Exchange Relaxation-Free Comagnetometer,” IEEE Transactions on Cybernetics, 2023, 53(11): 7008-7020.
Zhuo Wang, and Tiexiao Xu*, “Stability and Stabilizability of Linear Time-Invariant Interval Systems,” ISA Transactions, 2023, 145: 273-284.
Zhuo Wang, Sixun Liu*, Ruigang Wang, Linlin Yuan, Jiong Huang, Yueyang Zhai, and Sheng Zou, “Atomic Spin Polarization Controllability Analysis: A Novel Controllability Determination Method for Spin-Exchange Relaxation-Free Co-magnetometers,” IEEE/CAA Journal of Automatica Sinica, 2021, 9(4): 699-708.
Zhuo Wang, Yuanqing Wu*, Yong Xu, and Renquan Lu, “An Efficient Algorithm to Determine the Connectivity of Complex Directed Networks,” IEEE Transactions on Cybernetics, 2022, 52(7): 7164-7171.
王卓*, 王成红, “有向图同构判定方法 (Isomorphism Determination Methods for Directed Graphs),” 《自动化学报》(Acta Automatica Sinica), 2025, 51(9): 2001-2010.
王卓*, 王成红, “复杂无向图的同构判定方法 (Isomorphism Determination Methods for Complex Undirected Graphs),” 《自动化学报》(Acta Automatica Sinica), 2024, 50(6): 1143-1150.
王卓*, 王成红, “简单无向图的同构判定方法 (Isomorphism Determination Methods for Simple Undirected Graphs),” 《自动化学报》(Acta Automatica Sinica), 2023, 49(9): 1878-1888.
Zhuo Wang*, Renquan Lu, and Hong Wang, “Finite-Time Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems,” IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017, 47(7): 1679-1687.
Zhuo Wang*, Renquan Lu, Furong Gao, and Derong Liu, “An Indirect Data Driven Method for Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems,” IEEE Transactions on Industrial Electronics, 2017, 64(5): 4121-4129.
Zhuo Wang*, Yong Xu, Renquan Lu, and Hui Peng, “Finite-Time State Estimation for Coupled Markovian Neural Networks with Sensor Nonlinearities,” IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(3): 630-638.
Zhuo Wang and Yongchao Man*, “Sufficient and Necessary Conditions on Finite-Time Tracking,” IEEE Transactions on Systems, Man and Cybernetics: Systems, 2016, 47(12): 3331-3339.
Zhuo Wang* and Derong Liu, “Stability Analysis for a Class of Systems: From Model-Based Methods to Data-Driven Methods,” IEEE Transactions on Industrial Electronics, 2014, 61(11): 6463-6471.
Zhuo Wang* and Derong Liu, “A Data-Based State Feedback Control Method for a Class of Nonlinear Systems,” IEEE Transactions on Industrial Informatics, 2012, 9(4): 2284-2292.
Zhuo Wang* and Derong Liu, “Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems,” IEEE Transactions on Neural Networks, 2011, 22(12): 2388-2392.
