Rui Yang


Rui Yang received both Ph.D. degree and B.Eng degree from National University of Singapore (NUS). His main research areas are transfer learning (TL), deep learning (DL), fault diagnosis (FD), brain-computer interface (BCI) and human-computer interaction (HCI). He is also the Associate Editor (AE) of Neurocomputing (JCR Q1, IF=5.779).

Dr. Yang is recruiting PhD, MRes/MSc, and UG Students in the following four directions:

1. High-Speed Train Fault Diagnosis and Condition Monitoring based on Machine Learning;
2. Deep Transfer Learning in EEG-based Brain-Computer Interface;
3. Intelligent Human Computer Interaction with Virtual and Augmented Reality (VR/AR);
4. Evolutionary Transfer Optimization with Application in Energy Saving Control.

Students working with me usually can publish paper as the first author in journals (such as IEEE TNSRE, IEEE TIM, IEEE TVCG, Neurocomputing, CEP, CIBM) and conferences (such as IEEE VR). For students who are interested in doing projects related to the above directions, please feel free to send me an email:
  • Qualifications

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  • 电话

    +86 (0)51288161502
  • Email
  • 地址

    SD529(Science Building)
    Suzhou Dushu Lake Science and Education Innovation District
    Suzhou Industrial Park

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