College of Engineering

Research Area(s)

  • Artificial intelligence
  • Machine/deep learning
  • Computational biology
  • Health informatics
  • Medical image analytics
  • Complex network analytics

Research Group(s)

  • Bioinformatics
  • Artificial Intelligence
  • Biomedical Engineering
  • Control Systems, Robotics


Education and Experience

BSc,MSc (DLUT), PhD (NWPU), PhD (Saskatchewan), PEng.


  • Machine/deep learning theory and its applications
  • Medical image analysis
  • Drug repositioning
  • Bionetwork analysis and controllability
  • Biomarker (gene, miRNA, circRNA, etc.) discovery
  • Big bio-data (scRNA-seq, gene expression, circRNA expression, etc.) analysis
  • Health informatics (Auto-ICD, prediction of recurrence and prognosis, etc.)

Current and Past Projects

  1. Learning representations from heterogeneous data for digital health
  2. Predicting recurrence for hepatocellular carcinoma post-surgical treatment
  3. Algorithms for Complex Network Control and Their Applications for Drug Target Identification from Biomolecular Networks
  4. Development of real-time control methodologies for tandem mass spectrometry
  5. Control engineering approaches to gene regulatory networks

Graduate Student Positions

Positions for graduate students in artificial intelligence and digital health are available in my research group. I am always interested in recruiting high-calibre graduate students who have strong background in my research areas and who are self-motivated.