广东工业大学博士，东莞理工学院卓越工程师学院准聘讲师，主要研究方向为脑机接口，信号处理，人工智能。

一、工作经历

2022.07 - 2024.08 复旦大学信息科学与工程学院  博士后

2024.08 - 至今  东莞理工学院卓越工程师学院  讲师

二、研究项目

1. 毫米波通信基带-应急通信链路的关键技术，企业课题，2024.11-至今，502万，主持；

2. 运动负荷监测设备的软件平台开发，企业课题，2024.10-2025.06，5万，主持；

3. 面向新工科的卓越工程师培养：基于双融驱动与双创牵引的实践研究，22万，主持；

4. 面向卓越工程师人才培养的脑机接口产业项目化课程建设，3万，主持.

三、发表论文

1. X. Zhou, W.-K. Ling, Y. Zhou, et.al., Multivariate phase space reconstruction and Riemannian manifold for sleep stage classification, Biomedical Signal Processing and Control, 2024, 88: 105572. (SCI- 2区)

2. X. Zhou, W.-K. Ling*, Y. Zhou, et al., Phase space reconstruction, geometric filtering Fisher discriminant analysis and minimum distance to the Riemannian means algorithm for epileptic seizure classification, Expert Systems With Applications, 2023, 219:119613. (SCI -1区)

3. X. Zhou, W.-K. Ling*, H. H. Dam, et al., Optimal design of window functions for filter window bank, Journal of Industrial and Management Optimization, 2021, 17(3):1119-1145. (SCI -3区)

4. X. Zhou, W.-K. Ling*, C. Li, et al., Epileptic seizure detection via logarithmic normalized functional values of singular values, Biomedical Signal Processing and Control, 2020, 62:102086. (SCI -2区)

5. X. Zhou, W.-K. Ling*, Zikang Tian, et al., Joint empirical mode decomposition, exponential function estimation and L1 norm approach for estimating mean value of photoplethysmogram and blood glucose level, IET Signal Processing, 2020, 14:652-665. (SCI -4区)

6. X. Zhou, Z. Guo, J. Liu, et al., A hierarchical neural network on Riemannian manifold and convolutional neural network for sleep stage classification, 19 th Annual IEEE International Symposium on Medical Measurements and Applications, 2024. (EI收录)

7. X. Zhou, R. Lei, W.K Ling*, et al., Joint empirical mode decomposition and singular spectrum analysis based pre-processing method for wearable non-invasive blood glucose estimation, IEEE 4th International Conference on Signal and Image Processing, 2019. (EI收录)

8. J. Chen, X. Zhou, L. Feng, et al., rU-Net, Multi-Scale Feature Fusion and Transfer Learning: Unlocking the Potential of Cuffless Blood Pressure Monitoring with PPG and ECG, IEEE Journal of Biomedical and Health Informatics, 2024, 1-12.  (SCI -2区)

9. J.-H. Che, W.-K. Ling*, X. Zhou, Singular spectrum analysis based sleeping stage classification via electrooculogram, Multimedia Tools and Applications, 2024, 83:65525-65548. (SCI -3区)

10. Y. Zhou, W.-K. Ling*, X. Zhou, Biomedical signal denoising via permutating, thresholding and averaging noise components obtained from hierarchical multiresolution analysis-based empirical mode decomposition, Circuits, Systems, and Signal Processing, 2022, 42:943-970. (SCI -3区)

四、获奖荣誉

1. 第十九届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛(青年科技人才赛道)，特等奖,指导教师，2025；；

2. 第十届‘创客中国’信息技术应用中小企业创新创业大赛，三等奖,指导教师，2025.

五、指导学术科研项目

1. 大学生创新创业训练计划. “基于黎曼几何和脑电信号的情绪监测系统” （国家级）. 2025.

2. 大学生创新创业训练计划. “AI运动教育装备--跨境电商运营实践” （省级）. 2025.

六、指导研究生

现为东莞理工学院硕士生导师，招收新一代信息技术专业研究生，指导研究生1名，协助指导研究生1名.