Zheng Nan joined the Department of Biomedical Engineering at Shantou University as a lecturer in August 2026. He  obtained his Ph.D. degree from Fuzhou University. His research interests cover neural mechanism analysis based on electrophysiological signals and volitional motor‑assistive technologies. He has published multiple SCI/EI articles in JNER, AIIM, Neurocomputing and other journals, and acts as a reviewer for international journals including TNNLS, BSPC and CMPB.

Research Fields

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Mechanism analysis and intelligent motor assistive technologies based on electrophysiological signals

Publications

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1、Xie Q.R., Zheng N, Zhang X, et al. Neural mechanisms underlying loss of functional independence after stroke: EEG evidence of impaired motor-to-sensory directed connectivity on the affected side[J]. Journal of NeuroEngineering and Rehabilitation, 2026.（共同第一作者）

2、Zheng N, Li Y.R., Shi W.X., et al. Sparse Bayesian based NARX Modeling of Cortical Response: Introducing Information Entropy for Enhancing the Stability[J]. Neurocomputing, 2025: 129569.

3、郑楠,李玉榕,史武翔,等. 尺度自适应的多小波脑电稀疏时变建模与时频表征方法[J].电子学报,2025,53(8):2707-2718.

4、Zheng N, Li Y.R., Shi W.X., et al. Decoding the Cortical Responses to Mechanical Wrist Perturbations: A Two-step Shared Structure NARX Method[J]. Artificial Intelligence in Medicine, 2025: 103273.

5、Zheng N, Li Y.R.. Adaptive radial basis functions based Time-Varying model for EEG analysis in patients with cervical dystonia[J]. Biomedical Signal Processing and Control, 2024, 92: 106135.

6、Zheng N, Li Y.R.. Recognition of Muscular Activity in Complex Noise Contaminated Myoelectric Signals: An Adaptive Two-Step Approach[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 3509713.

7、Zheng N, Li Y.R., Zhang W.X., et al. User-Independent EMG Gesture Recognition Method Based on Adaptive Learning[J]. Frontiers in Neuroscience, 2022, 16:847180.

8、郑楠,李玉榕,张文萱,李吉祥.基于特定任务肌肉协同的用户无关肌电手势识别研究[J].仪器仪表学报,2021,42(09):253-261.

9、Chen W.S., Li Y.R., Zheng N. Self-Supervised EEG Denoising via Dual-Branch Consistency Learning with Masked Reconstruction[J]. Knowledge-Based Systems, 2025: 114703.

10、Shi W.X., Li Y.R., Zheng N. A Deep Learning Framework Leveraging Spatiotemporal Feature Fusion for Electrophysiological Source Imaging[J]. Computer Methods and Programs in Biomedicine, 2025: 108767.