Han Bao
Han Bao

Ph.D · Associate Professor

Wang Zheng School of Microelectronics, Changzhou University

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 Wang Zheng School of Microelectronics, 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 nonlinear systems, memoristor simulators and circuits, multi-stability and reduced-dimensional reconstruction, and memoristor neuromorphic electrical networks.

  1. Han Bao, Yuanhui Su, Zhongyun Hua, et al. Two-Dimensional Bounded Chaotic System With Hardware Implementation. IEEE Transactions on Industrial Electronics, 2024.
  2. Han Bao, Zhuguan Chen, Jun Ma, et al. Planar Homogeneous Coexisting Hyperchaos in Bi-Memristor Cyclic Hopfield Neural Network. IEEE Transactions on Industrial Electronics, 2024, 71(12): 16398–16408.
  3. Han Bao, Yuanhui Su, Zhongyun Hua, et al. 2-D Threshold Hyperchaotic Map and Application in Timed One-Time Password. IEEE Transactions on Industrial Informatics, 2024, 20(11): 13058–13068.
  4. Han Bao, Yuanhui Su, Zhongyun Hua, et al. Grid Homogeneous Coexisting Hyperchaos and Hardware Encryption for 2-D HNN-Like Map. IEEE Transactions on Circuits and Systems I: Regular Papers, 2024, 71(9): 4145–4155.
  5. Han Bao, Minqi Xi, Ning Wang, et al. Designing multi-cavity chaotic maps via multistage step state extension. Nonlinear Dynamics, 2024, 112(14): 12521–12535.
  6. Han Bao, Zhuowu Wang, Zhongyun Hua, et al. Initial-Offset-Control Coexisting Hyperchaos in Two-Dimensional Discrete Neuron Model. IEEE Transactions on Industrial Informatics, 2024, 20(3): 4784–4794.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.

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Awards & Honors

  • Highly cited researcher in 2023 (Clarivate).