教育经历

2020.01-2022.12 悉尼科技大学，工程学院，生物医学工程/电子信息工程专业，博士

2017.08-2019.07 悉尼科技大学，计算机控制工程专业，硕士

2012.08-2016.07 哈尔滨理工大学，自动化专业，学士

研究领域：

EGG信号、机器学习、人机交互、康复机器人

代表性文章：

1. Y. An, H. K. Lam & S. H. Ling, “Auto-Denoising for EEG Signals Using Generative Adversarial Network”, Sensors, 2022, vol. 22, no. 5, p. 1750.

2. Y. An, T. Hu, J. Wang, J. Lyu, S. Banerjee, & S. H. Ling, “Lung Nodule Classification using A Novel Two-stage Convolutional Neural Networks Structure”, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 6259-6262.

3. Y. An, S. H. Han & S. H. Ling, “Multi-classification for EEG Motor Imagery Signals using Auto-selected Filter Bank Regularized Common Spatial Pattern” 2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT), 2022, pp. 1-6.

4. Y. An, H. K. Lam, & S. H. Ling, “Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network”, Neural Computing and Applications, 2023, pp. 1-27.