Graduate courses
  • Soft Computing and Machine Intelligence (CP8206), Winter 2016, Ryerson University.

Research topics available also as possible thesis

  • Modeling and characterization of complex dynamical systems by graph-theoretic methods and time series analysis
  • Analysis, design, and development of learning systems for non-geometric input spaces
  • Information-theoretic learning
  • Supervised and unsupervised feature selection/extraction methods
  • Computational approaches to the protein folding problem
  • Information granulation: higher-order fuzzy sets and hybrid models for data modeling and characterization
  • Analysis and control of time-varying labeled graphs. Phase space reconstruction techniques; recurrence analysis
  • One-class classification