About me

Research Interests

My research interests lie in the general area of signal processing and machine learning, particularly in sparse representation and deep learning, as well as their applications in fault diagnosis, condition monitoring and healthcare.

Recent News

  • April 11, 2020. One paper titled “Time series clustering to examine presence of decrement in finger tapping bradykinesia” was accepted to EMBC 2020
  • Mar. 17, 2020. One paper titled “Adaptive Channel Weighted CNN with Multi-Sensor Fusion for Condition Monitoring of Helicopter Transmission System” was accepted to IEEE Sensors Journal
  • Mar. 01, 2020. One paper titled “Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection” was accepted to TII
  • Feb. 26, 2020. One paper titled “Sparsity-assisted Fault Feature Enhancement: Algorithm-aware versus Model-aware” was accepted to TIM
  • Jan. 20, 2020. One paper titled “An Adaptive On-line Blade Health Monitoring Method: from Raw Data to Parameters Identification” was accepted to TIM
  • December 24, 2019. One paper titled “The sparse and low-rank interpretation of SVD-based denoising for vibration signals” was accepted to I2MTC 2020