Viktor Beneš

Prof. Viktor Beneš is a distinguished academic at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague. His work bridges stochastic geometry and point process theory with applications in neurophysiology, materials science, and public administration. Key research themes include space-time modeling, nonlinear filtering, and statistical inference for complex systems.

His recent publications focus on spatio-temporal dynamics in biological and physical systems, unions of interacting discs for spatial modeling, and stochastic microstructure analysis in polycrystalline materials. Collaborative projects span Bayesian geostatistics, survival analysis, and neuronal signal processing.

• Key contributions to stochastic modeling of neurophysiological experiments
• Developed nonlinear filtering methods for doubly stochastic processes
• Led international research on Markov point processes with perfect simulation