Section “Modelling and Optimization”

4.6. Informatics and Computer Science

• MSc in Computer Engineering

1. Dineva, K., Atanasova, T., & Varbanov, V. (2025). ANALYSIS OF DATA FRAGMENTATION IN ARTIFICIAL INTELLIGENCE MODELS TO IMPROVE DECISION-MAKING PROCESSES IN SOCIALLY SIGNIFICANT AREAS. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, 25, 2.1, SGEM. https://doi.org/10.5593/sgem2025/2.1/s07.03
2. Mateeva, G., Keremedchiev, D., Kopanov, K., Varbanov, V., & Balabanov, T. (2025). Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 609, Springer, Cham, 146-153. ISBN: 978-3-031-84311-2. https://doi.org/10.1007/978-3-031-84312-9_10
3. Varbanov, V., & Atanasova, T. (2025). Detecting Information Operations Using Machine Learning Algorithms. 51st International Conference "Applications of Mathematics in Engineering and Economics" (AMEE 2025). (accepted, in press)
4. Varbanov, V., & Atanasova, T. (2025). Improving Industrial Control System Cybersecurity with Time-Series Prediction Models. Engineering Proceedings, 101(1), 4, mdpi. https://doi.org/10.3390/engproc2025101004
5. Varbanov, V., & Atanasova, T. (2025). Renewable Energy Infrastructure: Vulnerability Mapping And Predictive Risk Modeling. 25th International Scientific Multidisciplinary Conference on Earth and Planetary Sciences SGEM 2025, 25, 4.1, SGEM, 141-150. https://doi.org/10.5593/sgem2025/4.1/s16.18
6. Kopanov, K., Varbanov, V., & Atanasova, T. (2024). Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts. Environmental Protection and Disaster Risks (EnviroRisks 2024), 883, Lecture Notes in Networks and Systems, Springer, 218-225. https://doi.org/10.1007/978-3-031-74707-6_24
7. Varbanov, V. (2024). Advancing Cyber Threat Intelligence through Machine Learning Algorithms. AICCONF '24: Cognitive Models and Artificial Intelligence Conference, ACM Digital library, 111-115. ISBN: 979-8-4007-1692-8. https://doi.org/10.1145/3660853.3660879
8. Varbanov, V., & Atanasova, T. (2024). Leveraging Machine Learning For Threat Hunting In Network Security. 38th annual European Simulation and Modelling Conference (ESM'2024), EUROSIS-ETI, 76-80. ISBN: 978-9-492-859-28-1.
9. Varbanov, V., Kopanov, K., & Atanasova, T. (2024). A Multidisciplinary Approach to Telegram Data Analysis. XXIVth International Multidisciplinary Scientific GeoConference Surveying, Geology and Mining, Ecology and Management – SGEM 2024, 24, 2.1, SGEM. https://doi.org/10.5593/sgem2024/2.1/s07.01
10. Матеева, Г., Керемедчиев, Д., Копанов, К., Върбанов, В., и Балабанов, Т. (2024). Двуверижна популация в еволюционни алгоритми за нелинейни задачи. Механика Транспорт Комуникации, 22, 3/2, Печатна база на ВТУ „Тодор Каблешков“.