معرفی
Dr. Kristian Sabo is a Full Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia. His research focuses on Applied and Numerical Mathematics with applications in Agriculture, Medicine, and Seismology. He has developed innovative clustering algorithms like adaptive Mahalanobis fuzzy clustering and hybrid RANSAC-DBSCAN methods.
- PhD (2007) and MSc (2003) in Mathematics, University of Zagreb
- BSc (1999) in Mathematics and Computer Science, University of Osijek
Research Highlights:
- Created Minimal Distance Index for optimal cluster validation in complex datasets
- Developed DIRECT algorithm adaptations for global optimization in multi-dimensional partitions
- Applied clustering methods to earthquake analysis and medical imaging
Software Development:
- Co-developed LeArEst R package for noisy image analysis
- Created Mathematica modules for pandemic forecasting models
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