About

Han Bao (Member, IEEE) received the B.S. from Jiangxi University of Finance and Economics, Nanchang, China, in 2015, the M.S. degree from Changzhou University, Changzhou, China, in 2018, and the Ph.D. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2021. In 2019, he visited the Computer Science Department, The University of Auckland, New Zealand. He is currently an Associate Professor with the School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China. He was selected as the Highly Cited Researcher 2023 in Cross-Field. His research interests include memristive neuromorphic circuit, nonlinear circuits and systems, and artificial intelligence.

Education

• Postdoctoral Researcher in Computer Science and Technology
  Hohai University, China
  2022.12－Nowadays

• Doctor of Engineering in Testing and Measuring Technology and Instruments
  Nanjing University of Aeronautics and Astronautics, China
  2018.09－2021.12

• Master of Engineering in Signals, Circuits and Systems
  Changzhou University, China
  2015.09－2018.07

Publications

The research includes memoristor simulators and circuits, multi-stability and reduced-dimensional reconstruction, and memoristor neuromorphic electrical networks.

1. Han Bao, Zhuguan Chen, Jun Ma, Quan Xu, Bocheng Bao. “Planar Homogeneous Coexisting Hyperchaos in Bimemristor Cyclic Hopfield Neural Network,” IEEE Transactions on Industrial Electronics, 2024, doi: 10. 1109/TIE.2024.3387058.
2. Han Bao, Zhuowu Wang, Zhongyun Hua, Xihong Yu, Quan Xu, and Bocheng Bao, “Initial-Offset-Control Coexisting Hyperchaos in Two-Dimensional Discrete Neuron Model,” IEEE Transactions on Industrial Informatics, 2024, 20: 4784–94. DOI: 10.1109/TII.2023.3327566.
3. Han Bao, Kexin Li, Jun Ma, Zhongyun Hua, Quan Xu, Bocheng Bao, “Memristive effects on an improved discrete Rulkov neuron model,” Science China Technological Sciences, 2023, 66(11): 3153-3163. DOI: 10.1007/s11431-023-2432-1.
4. Han Bao, Mengjie Hua, Jun Ma, Mo Chen, Bocheng Bao, “Offset-control plane coexisting behaviors in two-memristor-based Hopfield neural network,” IEEE Transactions on Industrial Electronics, 2023, 70(10): 10526-10535. DOI: 10.1109/TIE.2022.3222607.
5. Han Bao, Kang Rong, Mo Chen, Xi Zhang, Bocheng Bao, “Multistability and synchronization of discrete maps via memristive coupling,” Chaos, Solitons and Fractals, 2023, 174: 113844.
6. Han Bao, Xihong Yu, Quan Xu, Huagan Wu, Bocheng Bao, “Three-dimensional memristive Morris–Lecar model with magnetic induction effects and its FPGA implementation,” Cognitive Neurodynamics, 2023, 17(4): 1079–1092.
7. Han Bao, Yang Gu, Jianjun Sun, Xi Zhang, Bocheng Bao, “Memristor-based Gauss chaotic maps with hidden/self-excited dynamics,” Journal of Difference Equations and Applications, 2023, 29(9-12): 1391-1407.
8. Han Bao, Houzhen Li, Zhongyun Hua, Quan Xu, Bocheng Bao, “Sine-transform-based memristive hyperchaotic model with hardware implementation,” IEEE Transactions on Industrial Informatics, 2023. 19(3): 2792-2801. DOI: 10.1109/TII.2022.3157296.
9. Han Bao, Ruoyu Ding, Bei Chen, Quan Xu, Bocheng Bao, “Two-dimensional non-autonomous neuron model with parameter-controlled multi-scroll chaotic attractors,” Chaos, Solitons and Fractals, 2023, 169: 113228. DOI: 10.1016/j.chaos.2023.113228.
10. Han Bao, Jianlin Zhang, Ning Wang, N. V. Kuznetsov, Bocheng Bao, “Adaptive synapse-based neuron model with heterogeneous multistability and riddled basins,” Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022, 32(12): 123101. DOI: 10.1063/5.0125611.
11. Han Bao, Ruoyu Ding, Mengjie Hua, Huagan Wu, Bei Chen*, “Initial-condition effects on a two-memristor-based Jerk system,” Mathematics, 2022, 10(3), 411. DOI: 10.3390/math10030411.
12. Han Bao, Zhuguan Chen, Jianming Cai, Quan Xu, Bocheng Bao, “Memristive cyclic three-neuron-based neural network with chaos and global coexisting attractors,” Science China Technological Sciences, 2022, 65: 2582-2592. DOI: 10.1007/s11431-022-2144-x.
13. Han Bao, Zhongyun Hua, Houzhen Li, Mo Chen, Bocheng Bao, “Memristor-based hyperchaotic maps and application in auxiliary classifier generative adversarial nets,” IEEE Transactions on Industrial Informatics, 2022, 18(8): 5297-5306. DOI: 10.1109/TII.2021.3119387.
14. Han Bao, Yang Gu, Quan Xu, Xi Zhang, Bocheng Bao, “Parallel bi-memristor hyperchaotic map with extreme multistability,” Chaos, Solitons and Fractals, 2022, 160: 112273. DOI: 10.1016/j.chaos.2022.112273.
15. Han Bao, Ruoyu Ding, Mengjie Hua, Bocheng Bao, Bei Chen*, “Incremental integral reconstitution for detecting initial condition effects,” AEÜ-International Journal of Electronics and Communications, 2022, 149: 154178. DOI: 10.1016/j.aeue.2022.154178.
16. Han Bao, Zhongyun Hua, Houzhen Li, Mo Chen, Bocheng Bao, “Discrete memristor hyperchaotic maps,” IEEE Transactions on Circuits and Systems -I: Regular Papers, 2021, 68(11): 4534-4544. DOI: 10.1109/TCSI.2021.3082895.
17. Han Bao, Zhongyun Hua, Wenbo Liu, Bocheng Bao. “Discrete memristive neuron model and its interspike interval-encoded application in image encryption,” Science China Technological Sciences, 2021, 64(10): 2281-2291, DOI: 10.1007/s11431-021-1845-x.
18. Han Bao, Chengjie Chen, Yihua Hu, Mo Chen, Bocheng Bao, “2-D piecewise linear neuron model,” IEEE Transactions on Circuits and Systems -II: Express Briefs, 2021, 68(4): 1453-1457. DOI: 10.1109/TCSII.2020.3026702.
19. Han Bao, Zhongyun Hua, Ning Wang, Lei Zhu, Mo Chen, Bocheng Bao. “Initials-boosted coexisting chaos in a 2-D Sine map and its hardware implementation,” IEEE Transactions on Industrial Informatics, 2021, 17(2): 1132-1140. DOI: 10.1109/TII.2020.2992438.
20. Han Bao, Yunzhen Zhang, Wenbo Liu, Bocheng Bao. “Memristor synapse-coupled memristive neuron network: Synchronization transition and occurrence of chimera,” Nonlinear Dynamics., 2020, 100(1): 937-950. DOI: 10.1007/ s11071-020-05529-2.

→ Publication List

Awards & Honors

• Highly cited researcher in 2023 (Clarivate).