Dr. Herbert Iu

University of Western Australia, Australia

Email:[email protected]

Qualifications

2000 Ph.D., Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China

1997 BEng., Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

Publications(Selected)

1. Bao, X., Cui, M., Xu, Q., et al. (2026). Quaternion-Oriented Multistructure Attractor: Generation and Audio Encryption Application With Hardware Implementation. IEEE Internet of Things Journal, 13(7), 14912–14922.
2. Cheng, M., Yu, J., Xu, X., et al. (2026). A discrete second-order memristive Aihara neuron with rich firing patterns, multistability, distinct state transitions and hyperchaotic expansion effect. Nonlinear Dynamics, 114(6), Article 434.
3. Deng, Y., Yuan, F., Li, Y., & Iu, H. H. C. (2026). A Universal Framework for Programmable Multiattractor Chaotic Maps: Dynamics Analysis, DSP Realization, and Secure Application. IEEE Transactions on Industrial Electronics.
4. Gao, S., Shi, F., Xu, X., et al. (2026). A Memristor-Based Neural Network Circuit With Classical Conditioning and Fear Generalization. IEEE Transactions on Consumer Electronics, 72(2), 3213–3224.
5. Gao, S., Song, Y., Cao, Y., et al. (2026). Biologically Plausible Memristive Decision-Making Circuit for Adaptive Control in Industrial Autonomous Navigation. IEEE Transactions on Industrial Informatics, 22(6), 4801–4812.
6. Guo, M., Liu, J., Dou, G., et al. (2026). Design of Memristive Neuromorphic Circuits With Integrated Perception and Decision-Making for Robot Path Planning. IEEE Transactions on Circuits and Systems I-Regular Papers.
7. Song, Y., Gao, S., Cao, Y., et al. (2026). A memristive dual-dimensional emotion processing circuit based on valence-arousal model for affective human-computer interaction. Nonlinear Dynamics, 114(9), Article 660.
8. Song, Y., Gao, S., Iu, H. H. C., et al. (2027). Modeling multiple classical conditioning mechanisms in a Memristor-Based learning circuit. Neural Networks, 205, Article 109325.
9. Wang, G., Gao, S., Iu, H. H. C., et al. (2026). From unidirectional to grid: Generation and precise control of multi-scroll chaotic attractors. Chaos Solitons & Fractals, 208, Article 118205.
10. Wang, M., Zhang, P., Wu, Z., et al. (2026). Complex dynamics of heterogeneous neural networks induced by hybrid-order memristive synaptic current crosstalk. Nonlinear Dynamics, 114(14), Article 890.
11. Wang, X., Bao, X., Zhang, E., et al. (2026). In-memory realization of balanced ternary logic gates and decoders using the resistance states of tri-valued memristors. European Physical Journal Plus, 141(6), Article 705.
12. Wang, X., Ge, Z., Wu, M., et al. (2026). Modular memristor circuits for Pavlov associative memory with scalability. Cognitive Neurodynamics, 20(1), Article 62.
13. Wang, X., Li, Z., Li, X. L., et al. (2026). Ternary quantitative neural network implemented with tri-valued memristors. Cognitive Neurodynamics, 20(1), Article 75.
14. Wu, X., Gao, S., Erkan, U., et al. (2026). Multi-structural attractor generation and FPGA implementation of reconfigurable memristor-based dual-pathway Hopfield neural networks. Chaos Solitons & Fractals, 211, Article 118823.
15. Wu, X., Gao, S., Iu, H. H. C., et al. (2026). Multi-scroll regulation and control of a programmable memristive Hopfield neural network with FPGA implementation. Science China-Technological Sciences, 69(9), Article 1920406.
16. Xu, X., Xu, Y., Cao, Y., et al. (2026). Design of a Rulkov Neuron Based on Second-Order Memristors: Dynamical Analysis, and Application in Emotion Recognition Encryption. IEEE Internet of Things Journal, 13(8), 16884–16894.
17. Yuan, F., Peng, S., Deng, Y., et al. (2026). Analysis of Bursting Oscillations in a TiO2-x Memristive Neuron Circuit. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(4), 3028–3037.