Teaching

Research topics available also as possible thesis
  • Modeling and understanding of complex dynamical systems via time series analysis
  • Analysis, design, and development of pattern recognition systems for non-geometric input spaces
  • Supervised and unsupervised feature selection/extraction methods for pattern recognition systems
  • Computational approaches to the protein folding problem. Metabolic pathways analysis with graph-based pattern analysis techniques
  • 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 plots
  • One-class classification. Applications to fault detection in real-world smart grids.
  • Implementation of state-of-the-art inexact graph matching techniques
  • Parallel computing with CUDA, open-MP, and boost threads for soft computing and pattern recognition methods
  • Multi agent clustering algorithms