• MEng: 1) Electronic Information

• MS：1)Intelligent Science and Technology

• Ph.D: 1) Electronic Information; 2) Intelligent Science and Technology;

Hu Bin is a tenured professor and doctoral supervisor at the Future Technology College of South China University of Technology, and a dual-appointed researcher at the Pazhou Laboratory of Guangdong Province. He/She obtained a doctoral degree from Huazhong University of Science and Technology in 2015. From 2015 to 2017, he/she conducted postdoctoral research at Huazhong University of Science and Technology and RMIT University successively. In 2018, he/she was appointed as an associate professor at Huazhong University of Science and Technology. In 2023, he/she became a professor at South China University of Technology. I have been engaged in research in the intersection of artificial intelligence and control science, responsible for the construction of the 'Hybrid Brain Intelligence' research team, focusing on the construction and intervention of brain network intelligence and the application research of depression diagnosis and treatment. He has successively presided over two projects funded by the National Natural Science Foundation of China. Published one monograph; Published 26 papers in Automatica and IEEE Transactions, including 23 as the first or corresponding author, and 2 of them were selected as ESI highly cited papers. The first inventor has been granted two patents. Served as an editorial board member of the journal 'Neurocomputing' and Secretary-General of the IEEE IES Technical Committee on Network-based Control Systems and Applications (China).

• Brain-inspired computing, pulse neural networks, hybrid intelligent control, depression

Paper:

• Bin Hu, Zhi-Hong Guan, Guanrong Chen, C. L. Philip Chen. Neuroscience and network dynamics towards brain-inspired intelligence. IEEE Transactions on Cybernetics, 2022, 52(10): 10214-10227.

• Bin Hu, Zhi-Hong Guan, Frank L. Lewis, C. L. Philip Chen, Adaptive tracking control of cooperative robot manipulators with Markovian switched couplings. IEEE Transactions on Industrial Electronics, 2021, 68(3): 2427-2436.

• Bin Hu, Xinghuo Yu, Zhi-Hong Guan, Jürgen Kurths, Guanrong Chen. Hybrid neural adaptive control for practical tracking of Markovian switching networks. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(5): 2157-2168.

• Bin Hu, Zhi-Hong Guan, Minyue Fu. Distributed event-driven control for finite-time consensus. Automatica, 2019, 103: 88-95.

• Bin Hu, Zhi-Hong Guan, Guanrong Chen, Frank L. Lewis. Multistability of delayed hybrid impulsive neural networks with application to associative memories. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(5): 1537-1551.

• Bin Hu, Zhi-Hong Guan, Guanrong Chen, Xuemin (Sherman) Shen. A distributed hybrid event-time-driven scheme for optimization over sensor networks. IEEE Transactions on Industrial Electronics, 2019, 66(9): 7199-7208.

• Bin Hu, Zhi-Hong Guan, Naixue Xiong, Han-Chieh Chao. Intelligent impulsive synchronization of nonlinear interconnected neural networks for image protection. IEEE Transactions on Industrial Informatics, 2018, 14(8): 3775-3787.

• Bin Hu, Zhi-Hong Guan, Xinghuo Yu, Qingming Luo. Multisynchronization of interconnected memristor-based impulsive neural networks with fuzzy hybrid control. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 3069-3084.

• Bin Hu, Zhi-Hong Guan, Tong-Hui Qian, Guanrong Chen. Dynamic analysis of hybrid impulsive delayed neural networks with uncertainties. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(6): 4370-4384.

• Zeng Haochen (2018 undergraduate), Hu Bin, Guan Zhihong. Brain like learning model for EEG diagnosis of depression. Computer Engineering and Application, 2022, 1-9

Patent:

• Hu Bin, Li Zhenping The method, system and medium of brain like continuous learning collaborative capture Chinese invention patent, 2022109245831

• Hu Bin, Li Yi Brain like multimodal emotion recognition network, recognition method and emotion robot Chinese invention patent, 2022110924320

Book:

• Zhi-Hong ­Guan­, Bin ­Hu, Xuemin (Sherman) Shen. Introduction to hybrid intelligent networks. Springer, 2019, pages 292, https://doi.org/10.1007/978-3-030-02161-0