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Section “Modelling and Optimization”

Institute of Information and Communication Technologies – BAS

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Education
  • 2017 – IICT-BAS., Doctor in “Informatics and Computer sciences”
  • 2006–2008 – New Bulgarian University, Master of Internet Software Technologies
  • 2002–2006 – New Bulgarian University, Bachelor of Informatics
  • 1998–2010 – Technical University, Sofia, Bachelor of Computer Systems and Technologies
  • 1993–1998 – Technological School Electronic Systems (TSES), TU-Sofia
Academic Position
  • 2022 – Associate Professor, Section “Modelling and Optimization”, IICT-BAS
Books and Practical Guides
  • Balabanov, T.: Meta Heuristic Algorithms for Global Optimization in Time Consuming Problems and Human Opinion Based Problems. Higher School of Transport – Todor Kableshkov, 2023, ISBN:978-954-12-0308-8.
  • Balabanov, T., Atanasova, Z., Ketipov, R.: Statistical Data Processing with R. Education & Knowledge, 2019, ISBN:978-619-7515-17-6.
  • Balabanov, T., Zankinski, I., Tomov, P.: Scientific Computations with Java and Android. IICT-BAS, 2018, eISBN:978-619-7320-05-3.
Teaching Activity
  • BAS Training Center – Data Analysis with R (2018–2020)
  • UniBIT-Sofia – Mobile Application Development (2017–2019)
  • NBU-Sofia – Introduction to Java Programming, Internet Programming, Java for Advanced (2009–2015)
Publications
  1. Balabanov, T., & Dimitrov, D. (2025). Review of the Cybersecurity Impact and Limitations of the Use of Artificial Intelligence in Transport. Proceedings of the 16th International Scientific and Practical Conference, II, 31-36. https://doi.org/10.17770/etr2025vol2.8581
  2. Dimitrov, D., & Balabanov, T. (2025). Methodological Aspects and Limitations for Ensuring Safety in Transport Management Using Artificial Intelligence. Proceedings of the 16th International Scientific and Practical Conference, II, 93-98. https://doi.org/10.17770/etr2025vol2.8580
  3. Ketipov, R., Balabanov, T., Angelova, V., & Doukovska, L. (2025). Machine Learning for Prediction User Preferences Based on Personality Traits. Distributed Computer and Communication Networks. DCCN 2024, Lecture Notes in Computer Science, 15460, Springer, Cham., 458-470. ISBN: 978-3-031-80852-4. https://doi.org/10.1007/978-3-031-80853-1_34
  4. 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
  5. Saykov, V., Dimitrov, I., Batalski, R., Tsvetanov, D., Doldurov, G., Doldurova, L., & Balabanov, T. (2025). Linear Congruent Generator Imitation in Slot Machine Gambling Games. BGSIAM’25 Extended abstracts, 33-34.
  6. Balabanov, T., & Mateeva, G. (2024). SCALED AND MAPPED NUMBERS IN GAMBLING GAMES FOR ITALY. международна конференция „Robotics, Automation and Mechatronics’23“ RAM 2023, Марин Дринов, Българска Академия на Науките, 18-21.
  7. Tomov, P., Zankinski, I., & Balabanov, T. (2024). Cybersecurity in Donated Distributed Computing for Evolutionary Algorithms. Digital Transformation, Cyber Security and Resilience. DIGILIENCE 2020. Communications in Computer and Information Science, 1790, Springer, 107-112. https://doi.org/10.1007/978-3-031-44440-1_17
  8. 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“.
  9. Матеева, Г., Керемедчиев, Д., Томов, П., Занкински, И., и Балабанов, Т. (2024). Намиране на последователни ходове за решаване на комбинаторни пъзели. Механика Транспорт Комуникации, 22, 3/2, Печатна база на ВТУ „Тодор Каблешков“.
  10. Balabanov, T. (2023). Meta Heuristic Algorithms for Global Optimization in Time Consuming Problems and Human Opinion Based Problems: Monograph in Computer Science. Higher School of Transport - Todor Kableshkov - Publishing House. ISBN: 978-954-12-0308-8.
  11. Dineva, K., Atanasova, T., Balabanov, T., & Parvanov, D. (2023). How to Process. pp. 1-6. https://doi.org/10.1109/ICEET60227.2023.10525796
  12. Mateeva, G., Parvanov, D., & Balabanov, T. (2023). DNA-INSPIRED GENETIC ALGORITHM MODIFICATION. Proceedings of 21st INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE ISC'2023, EUROSIS-ETI, 27-31. ISBN: 978-9-492859-26-6.
  13. Mateeva, G., Parvanov, D., & Balabanov, T. (2023). Study on Random Numbers Scaling. The 37th European Simulation and Modelling Conference, ESM 2023, EUROSIS-ETI, 21-25. ISBN: 978-9-492-859-28-0.
  14. Stoyanova, K., & Balabanov, T. (2023). Optimal Selection of Pharma Stock Portfolios using DEPSO. Proceedings of 24th International Carpathian Control Conference 2023, 427-430. https://doi.org/10.1109/ICCC57093.2023.10178900
  15. Angelova, V., Balabanov, T., & Popchev, I. (2022). On the sensitivity estimation of the symmetric matrix Riccati differential equation. Comptes rendus de l’Academie bulgare des Sciences, 75, 11, Prof. Marin Drinov Academic Publishing House, 1638-1646. https://doi.org/10.7546/CRABS.2022.11.11
  16. Balabanov, T. (2022). Genetic Algorithms Performance Improvement in Slowly-Calculated Fitness Functions. Proceedings of International Scientific Conference UNITECH 2022, 1, University Publishing House Vasil Aprilov, 255-259.
  17. Balabanov, T. (2022). Libre Calc Performance in Optimization of Multidimensional Non-Linear Functions. Proceedings of International Scientific Conference UNITECH 2022, 1, University Publishing House Vasil Aprilov, 260-264.
  18. Dineva, K., Atanasova, T., & Balabanov, T. (2022). CLOUD DATAFLOW FOR MACHINE LEARNING MODELING ON IOT DATA IN SMART LIVESTOCK FARMING. 22nd International Scientific Multidisciplinary Conference on Earth and Planetary Sciences SGEM 2022, 22, 6.1, SGEM World Science (SWS) Society, Vienna, Austria, 73-80. https://doi.org/10.5593/sgem2022/6.1/s25.09
  19. Mateeva, G., Parvanov, D., & Balabanov, T. (2022). Searching Optimal Solutions for Multidimensional Nonlinear Functions in LibreOffice. Extended Abstracts of 17th Annual Meeting of the Bulgarian Section of SIAM, December 20 – 22, 26-28.
  20. Mateeva, G., Parvanov, D., Dimitrov, I., Iliev, I., & Balabanov, T. (2022). An Efficiency of Third Party Genetic Algorithms Software Libraries in Mobile Distributed Computing for Financial Time Series Forecasting. Proceedings of 2022 International Conference Automatics and Informatics (ICAI), IEEE, 351-354. ISBN: 978-1-6654-7626-3. https://doi.org/10.1109/ICAI55857.2022.9960128
  21. Mateeva, G., Parvanov, D., Dimitrov, I., Iliev, I., & Balabanov, T. (2022). Android Content Providers in Mobile Distributed Computing. Proceedings of 2022 13th National Conference with International Participation (ELECTRONICA), IEEE. ISBN: 978-1-6654-8101-4. https://doi.org/10.1109/ELECTRONICA55578.2022.9874360
  22. Mateeva, G., Parvanov, D., Dimitrov, I., Iliev, I., & Balabanov, T. (2022). Time-Consuming Fitness Functions Approximation for Genetic Algorithms Performance Improvement. Proceedings of 9th SWS International Scientific Conference on Social Sciences - ISCSS 2022, 9, 1, SGEM WORLD SCIENCE (SWS) Scholarly Society. https://doi.org/10.35603/sws.iscss.2022/s04.053
  23. Parvanov, D., и Balabanov, T. (2022). Приложимост на лазерни технологии за нанасяне на бар-кодове върху ушни марки на животни. Int. Conf. Robotics, Automation and Mechatronics’22”, RAM 2022, December 19-20, 10-15.
  24. Stoyanova, K., & Balabanov, T. (2022). A combination of Broyden-Fletcher-Goldfarb-Shanno (BFGS) and bisection method for solving portfolio optimization problems. Proc. of the 8th International Conference on Engineering and Emerging Technologies (ICEET) 27-28 October 2022, Kuala Lumpur, Malaysia, IEEE. https://doi.org/10.1109/ICEET56468.2022.10007369
  25. Balabanov, T. (2021). Estimation of Volatility based on the Estimation of Segmentation. Problems of Engineering Cybernetics and Robotics, 77, 3-10. https://doi.org/10.7546/PECR.77.21.01
  26. Balabanov, T. (2021). Pareto Front Estimation with a Heuristic Single-Objective Solver. Proceedings of International Scientific Conference UNITECH 2021, 1, Университетско издателство „Васил Априлов“ – Габрово, 235-239.
  27. Balabanov, T. (2021). Solving Multi-Objective Problems by Мeans of Single Objective Solver. Problems of Engineering Cybernetics and Robotics, 76, 63-70. https://doi.org/10.7546/PECR.76.21.05
  28. Balabanov, T. (2021). Volatility Index Estimation by Reverse Engineering. Proceedings of International Scientific Conference UNITECH 2021, 1, Университетско издателство „Васил Априлов“ – Габрово, 229-234.
  29. Blagoev, I., Balabanov, T., & Iliev, I. (2021). RSA Weaknesses Caused by the Specifics of Random Number Generation. Information & Security: An International Journal, 50, 2, Procon Ltd., 171-179. https://doi.org/10.11610/isij.5028
  30. Blagoev, I., Balabanov, T., & Iliev, I. (2021). The Randomness in Shared Web Hostings. Extended Abstracts of 16th Annual Meeting of the Bulgarian Section of SIAM, Fastumprint, 9-10.
  31. Mateeva, G., Parvanov, D., & Balabanov, T. (2021). Differential Evolution and Particle Swarm Optimization Efficiency According to Pseudo-Random Number Generator Quality. Problems of Engineering Cybernetics and Robotics, 76, 39-46. https://doi.org/10.7546/PECR.76.21.03
  32. Mateeva, G., Tomov, P., Parvanov, D., Petrov, P., Kostadinov, G., & Balabanov, T. (2021). Some Capabilities of Android OS for Distributed Computing. Proceedings of Big Data, Knowledge and Control Systems Engineering (BdKCSE), 1-6. ISBN: 978-1-6654-1043-4. https://doi.org/10.1109/BdKCSE53180.2021.9627286
  33. Parvanov, D., Mateeva, G., & Balabanov, T. (2021). Classification of Images for Reverse Engineering of Slot Machines. Extended Abstracts of 16th Annual Meeting of the Bulgarian Section of SIAM, Fastumprint, 36-37.
  34. Petrov, N., Balabanov, T., & Petrov, I. (2021). For the National Security and the Risk as Probability Phenomenon. Наука, образование, интелект, Регионална библиотека „Георги Сава Раковски“ - Ямбол, 88-99.
  35. Velichkova, V., Tomov, P., & Balabanov, T. (2021). Incremental Sinusoidal Approximation of Time Series with LibreOffice Calc Solver. Problems of Engineering Cybernetics and Robotics, 75, Prof. Marin Drinov Academic Publishing House, 43-50. https://doi.org/10.7546/PECR.75.21.05
  36. Първанов, Д., Томов, П., & Балабанов, Т. (2021). Fine Tuning of LibreOffice Calc NLP Solver for Multiobjective Optimization. 29-ми Международен симпозиум „Управление на енергийни, индустриални и екологични системи“, Съюз по aвтоматика и информатика „Джон Атанасов“, 61-64.
  37. Balabanov, T., Ivanov, S., & Ketipov, R. (2020). Solving Combinatorial Puzzles with Parallel Evolutionary Algorithms. Lectures Notes in Computer Science (including subseries Lectures Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11958, Springer, 493-500. ISBN: 978-3-030-41031-5.
  38. Balabanov, T., Zankinski, I., Tomov, P., Petrov, P., & Kostadinov, G. (2020). Distributed Computing Cybersecurity in Donated Computing Resources For Evolutionary Algorithms. Сборник на научна конференция „Актуални проблеми на сигурността“, Издателски комплекс на НВУ „Васил Левски“, 697-704.
  39. Ketipov, R., Kostadinov, G., Petrov, P., Zankinski, I., & Balabanov, T. (2020). Genetic Algorithm Based Formula Generation for Curve Fitting in Time Series Forecasting Implemented as Mobile Distributed Computing. Proceedings of Advances in High Performance Computing, 902, Springer, 40-47. ISBN: 978-3-030-55346-3. https://doi.org/10.1007/978-3-030-55347-0_4
  40. Petrov, P., Kostadinov, G., Zhivkov, P., Velichkova, V., & Balabanov, T. (2020). Approximate Sequencing of Virtual Reels with Genetic Algorithms. PROCEEDINGS OF THE XXIII INTERNATIONAL SCIENTIFIC CONFERENCE, Distributed computer and communication networks: control, computation, communications (DCCN-2020), ИПУ РАН, 507-514. ISBN: 978-5-91450-248-2.
  41. Petrov, P., Kostadinov, G., Zhivkov, P., Velichkova.,V, Ivanov, S., & Balabanov, T. (2020). Multi-Objective Optimization in Image Approximation. 2020 International Conference Automatics and Informatics (ICAI), IEEE Xplore, 1-5. ISBN: 978-1-7281-9309-0. https://doi.org/10.1109/ICAI50593.2020.9311351
  42. Zankinski, I., Kolev, K., & Balabanov, T. (2020). Alternatives for Neighborhood Function in Kohonen Maps. Large-Scale Scientific Computing, 11958, Springer, 540-544.
  43. Петров, П., Костадинов, Г., Живков, П., Величкова, В., и Балабанов, Т. (2020). Приблизителна реконструкция на последователности с генетични алгоритми. 28-ми Международен симпозиум „Управление на енергийни, индустриални и екологични системи“, 63-66.
  44. Balabanov, T., Sevova, J., & Kolev, K. (2019). Optimization of String Rewriting Operations for 3D Fractal Generation with Genetic Algorithms. Lecture Notes in Computer Science (including subseries Lectures Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11189 LNCS, Springer, 48-54. https://doi.org/10.1007/978-3-030-10692-8_5
  45. Ketipov, R., Kostadinov, G., Petrov, P., Zankinski, I., & Balabanov, T. (2019). Human-Computer Mobile Distributed Computing for Time Series Forecasting. In: Vishnevskiy V., Samouylov K., Kozyrev D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Communications in Computer and Information Science (CCIS), 1141, Springer, Cham. ISBN: 978-3-030-36625-4. https://doi.org/10.1007/978-3-030-36625-4_40
  46. Tomov, P., Zankinski, I., & Balabanov, T. (2019). Server Side Vote Clustering in Human-Computer Distributed Computing. Information Technologies and Control, 2, John Atanasoff Society of Automatics and Informatics, 15-19.
  47. Tomov, P., Zankinski, I., & Balabanov, T. (2019). Training of Artificial Neural Networks for Financial Time Series Forecasting in Android Service and Widgets. Problems of Engineering Cybernetics and Robotics, 71, 50-56.
  48. Balabanov, T., Atanasova, T., & Blagoev, I. (2018). Activation Function Permutation for Multilayer Perceptron Training. Proceedings of International Conference on Big Data, Knowledge and Control Systems Engineering, John Atanasoff Union on Automatics and Informatics, 9-14.
  49. Balabanov, T., Blagoev, I., & Atanassova, Z. (2018). Greedy Genetic Algorithm Hybrid Solution of 1D Stock Cutting Problem. Proceedings of International Scientific Conference UNITECH 2018, 2, University Publishing House Vasil Aprilov - Gabrovo, 307-312.
  50. Balabanov, T., Blagoev, I., & Dineva, K. (2018). Self Rising Tri Layers MLP for Time Series Forecasting. Proceedings of International Conference on Distributed Computer and Communication Networks, 919, Springer, Cham, 577-584. https://doi.org/10.1007/978-3-319-99447-5_50
  51. Balabanov, T., Darachev, S., Jordanov, I., Karakushev, A., Kitanov, N., Manov, A., Nikolov, G., Nonev, S., Nedyalkova, Z., Rogachev, E., Stojkovikj, N., Tomov, P., & Zankinski, I. (2018). Geometric Visualization of a Polygon Area Partitioning. FASTUMPRINT, 31-39. ISBN: 978-619-7223-41-5.
  52. Balabanov, T., Ketipov, R., & Atanassova, Z. (2018). MLP with Stochastic Manipulated Hidden Layer. Proc. of the International Scientific Conference - UNITECH 2018, 2, University Publishing House Vasil Aprilov - Gabrovo, 324-328.
  53. Balabanov, T., Zankinski, I., & Ketipov, R. (2018). Weights Permutation in Multilayer Perceptron. Proceedings of International Conference on Big Data, Knowledge and Control Systems Engineering, “John Atanasoff” Union on Automatics and Informatics, Bulgaria, 23-27.
  54. Balabanov, T. (2017). Long Short Term Memory in MLP Pair. Proceedings of International Scientific Conference UniTech 2017, Gabrovo, 17-18.11.2017, II, University publishing house V. Aprilov, 17-18.
  55. Tomov, P., Zankinski, I., & Balabanov, T. (2017). Slot Machine Reels Reconstruction with Monte-Carlo Search. Proceedings of International Scientific Conference UniTech 2017, Gabrovo, Bulgaria, II, University publishing house Vasil Aprilov, 384-387.
  56. Zankinski, I., Tomov, P., & Balabanov, T. (2017). Alternative Activation Function Derivative in Artificial Neural Networks. Proceedings of 25th Symposium with International Participation - Control of Energy, Industrial and Ecological Systems 2017, Bankia, Bulgaria, John Atanasoff Union of Automation and Informatics, 79-81.
  57. Balabanov, T., Keremedchiev, D., & Goranov, I. (2016). Web Distributed Computing For Evolutionary Training Of Artificial Neural Networks. Proceedings of the International Conference InfoTech-2016, Publishing House of Technical University - Sofia, 210-216.
  58. Balabanov, T., Zankinski, I., & Barova, M. (2016). Strategy for Individuals Distribution by Incident Nodes Participation in Star Topology of Distributed Evolutionary Algorithms. Cybernetics and Information Technologies, 16, 1, Institute of Information and Communication Technologies - BAS, 80-88. https://doi.org/10.1515/cait-2016-0006
  59. Атанасова, Т., Барова, М., и Балабанов, Т. (2016). Използване на невронни модели за анализ на времеви редове в големи обеми от данни. 2, Изд. комплекс на НВУ „Васил Левски“, 193-198.
  60. Балабанов, Т., и Генова, К. (2016). AJAX разпределена система за обучение на изкуствени невронни мрежи с еволюционни алгоритми. Сборник с доклади от XXIV Международен симпозиум Управление на топло енергийни обекти и системи, Управление на енергийни, индустриални и екологични системи, Съюз по автоматика и информатика „Джон Атанасов“, 49-52.
  61. Балабанов, Т., и Генова, К. (2016). Разпределена система за обучение на изкуствени невронни мрежи, базирана на мобилни устройства. Proceedings of International conference Аutomatics and Informatics'2016, Federation of the scientific engineering unions, John Atanasoff Society of Automatics and Informatics, 49-52.
  62. Avdzhieva, A., Balabanov, T., Evtimov, G., Kirova, D., Kostadinov, H., Tsachev, Ts., Zhelezova, S., & Zlateva, N. (2015). Optimal Cutting Problem. Problems & final reporst of 113-th European Study Group with Industry, 14-18.09.2015, FASTUMPRINT, Sofia, Bulgaria, 14-18. ISBN: 978-619-72-23-12-5.
  63. Balabanov, T. (2015). Distributed evolutional model for music composition by human-computer interaction. Proceedings of International Scientific Conference UniTech 2015, Gabrovo, 20-21.11.2015, 2, University publishing house V. Aprilov - Gabrovo, 20-21.
  64. Balabanov, T., Zankinski, I., & Barova, M. (2015). Distributed Evolutionary Computing Migration Strategy by Incident Node Participation. Large-Scale Scientific Computing, Lecture Notes in Computer Science, 9374, Springer International Publishing Switzerland, 203-209. ISBN: 978-3-319-26520-9. https://doi.org/10.1007/978-3-319-26520-9_21
  65. Balabanov, T., Zankinski, I., & Shumanov, B. (2015). Slot Machine RTP Optimization and Symbols Wins Equalization with Discrete Differential Evolution. Lecture Notes in Computer Science, 10th Int. Conf. on Large-Scale Scientific Computing, 9374, Springer International Publishing Switzerland, 210-217. https://doi.org/10.1007/978-3-319-26520-9_22
  66. Balabanov, T., Zankinski, I., & Shumanov, B. (2015). Slot Machines RTP Optimization with Genetic Algorithms. Lecture Notes in Computer Science , 8th Int. Conf. on Numerical Methods and Applications, 8962, Springer International Publishing Switzerland, 55-61. https://doi.org/10.1007/978-3-319-15585-2_6
  67. Балабанов, Т. (2015). Избягване на локални оптимуми при евристични популационни алгоритми в разпределена среда. Сборник с доклади от XXII Международен симпозиум Управление на енергийни, индустриални и екологични системи, 14-15.05.2015, Федерация на Научно-техническите съюзи, Съюз по автоматика и информатика, 14-15.
  68. Балабанов, Т., Занкински, И., и Шуманов, Б. (2015). Оптимизация на статистически модели с еволюция на разликите и Монте-Карло базирана оценъчна функция. Сборник с доклади от XXII Международен симпозиум Управление на енергийни, индустриални и екологични системи, 14-15.05.2015, Федрация на Научно-техническите съюзи, Съюз по автоматика и информатика, 14-15.
  69. Balabanov, T., Zankinksi, I., & Dobrinkova, N. (2012). Time Series Prediction by Artificial Neural Networks and Differential Evolution in Distributed Environment. Proceedings of International Conference on Large-Scale Scientific Computing, 8th International Conference, 7116, Springer, 198-205. ISBN: 978-3-642-29842-4. https://doi.org/10.1007/978-3-642-29843-1_22
  70. Balabanov, T. (2011). Heuristic Forecasting Approaches in Distributed Environment. Proceedings of Anniversary Scientific Conference 40 Years Department of Industrial Automation, UCTM-Sofia, 163-166. ISBN: 978-954-465-043-8.
  71. Balabanov, T., Koprinkova-Hristova, P., Doukovska, L., Hadjiski, M., & Beloreshki, S. (2011). Neural Network Model of Mill-Ffan System Elements Vibration for Predictive Maintenance. Proceedings of the International Symposium on Innovations in Intelligent Systems and Applications - INISTA'11, Istanbul, Turkey, IEEE Xplore, 410-414. ISBN: 978-161284919-5. https://doi.org/10.1109/INISTA.2011.5946102
  72. Балабанов, Т., Занкински, И., и Симеонова, В. (2010). Прогнозиране на времеви редове с изкуствени невронни мрежи и диференциална еволюция в разпределена среда. Работни статии на ИИТ, IIT/WP-268B, ИИТ-БАН.