Research
My research is of interdisciplinary nature and includes:
- Graph- and network-based learning and data science (pattern recognition,
classification and clustering);
- Random geometric graphs (Proximity Catch Digraphs, their construction
and characterization,
domination, edge and arc density);
- Network optimization (in relation to Stochastic Obstacle Scene Problem
and Canadian Traveler's Problem)
- Spatial point pattern and data analysis (by nearest neighbor and graph
theoretic methods) and their applications;
- Statistical Methods for Medical Data and Image Analysis.