| 2023 | FedCSIS | Sensitivity Study of a Large-scale Air Pollution Model on the Bulgarian Petascale Supercomputer Discoverer. | Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Venelin Todorov |
| 2022 | FedCSIS | An Optimized Monte Carlo Approach for Multidimensional Integrals Related to Intelligent Systems. | Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva, Tzvetan Ostromsky, Stoyan Poryazov |
| 2021 | FedCSIS | Optimized stochastic approach for integral equations. | Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva |
| 2021 | FedCSIS | Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. | Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva |
| 2020 | FedCSIS | Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling. | Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov |
| 2020 | FedCSIS | Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling. | Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov |
| 2018 | FedCSIS | A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the "Walk on Equations" Algorithm. | Venelin Todorov, Nikolay Ikonomov, Ivan Dimov, Rayna Georgieva |
| 2007 | ICCS | Complexity of Monte Carlo Algorithms for a Class of Integral Equations. | Ivan Dimov, Rayna Georgieva |