Han Bao
Han Bao

Ph.D · Associate Professor

School of Information Science and Engineering, 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 School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China. He was selected as the Highly Cited Researcher 2022 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, 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Han Bao, Mo Chen, Huagan Wu, Bocheng Bao. “Memristor initial-boosted coexisting plane bifurcations and its extreme multi-stability reconstitution in two-memristor-based dynamical system,” Science China Technological Sciences, 2020, 63(4): 603-613. DOI: 10.1007/s11431-019-1450-6.
  20. Han Bao, Dong Zhu, Wenbo Liu, Quan Xu, Mo Chen, Bocheng Bao. “Memristor synapse-based Morris-Lecar model: Bifurcation analyses and FPGA-based validations for periodic and chaotic bursting/spiking firings,” Int. Journal of Bifurcation and Chaos, 2020, 30(3): 2050045. DOI: 10.1142/S0218127420500455.
  21. Han Bao, Aihuang Hu, Wenbo Liu, Bocheng Bao. “Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction,” IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(2): 502-511. DOI: 10.1109/TNNLS.2019.2905137.
  22. Han Bao*, Wenbo Liu, Mo Chen. “Hidden extreme multistability and dimensionality reduction analysis for an improved non-autonomous memristive FitzHugh–Nagumo circuit,” Nonlinear Dynamics, 2019, 96(3), 1879-1894.
  23. Han Bao*, Wenbo Liu, Aihuang Hu. “Coexisting multiple firing patterns in two adjacent neurons coupled by memristive electromagnetic induction,” Nonlinear Dynamics, 2019, 95(1), 43-56.
  24. Han Bao*, Aihuang Hu, Wenbo Liu. “Bipolar pulse-induced coexisting firing patterns in two-dimensional Hindmarsh–Rose neuron model,” Int. Journal of Bifurcation and Chaos, 2019, 29(1): 1950006.
  25. Han Bao, Ning Wang, Huagan Wu, Zhe Song, Bocheng Bao. “Bi-stability in an improved memristor based third-order Wien-bridge oscillator,” IETE Technical Review, 2019, 36(2): 109-116.
  26. Han Bao, Tao Jiang, Kaibin Chu, Mo Chen, Quan Xu, Bocheng Bao. “Memristor-based canonical Chua’s circuit: Extreme multi-stability in voltage-current domain and its controllability in flux-charge domain,” Complexity, 2018, Article ID 5935637.
  27. Han Bao, Ning Wang, Bocheng Bao, Mo Chen, Peipei Jin, Guangyi Wang. “Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria,” Communications in Nonlinear Science and Numerical Simulation, 2018(Apr.), 57: 264-275.

→ Publication List

Awards & Honors

  • Highly cited researcher in 2023 (Clarivate).