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Department "Modelling and Optimization"

Institute of Information and Communication Technologies – BAS

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  • 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, Department of Modelling and Optimization, IICT-BAS
National Scientific Programs
  • NSP SD (Security and Defence), grant agreement No. Д01-74/19.05.2022
  • NSP Intelligent Animal Husbandry, grant agreement No. Д01-62/18.03.2021
  • NSP ICT in science, education and security (ICTinSES), grant agreement No. Д01-205/23.11.2018
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)
Selected Publications
  1. Mateeva, G., Parvanov, D., Balabanov, T.: DNA-INSPIRED GENETIC ALGORITHM MODIFICATION. ISC’2023, EUROSIS-ETI, ISBN:978-9-492859-26-6. (Scopus).
  2. Angelova, V., Balabanov, T., Popchev, I.: On the sensitivity estimation of the symmetric matrix Riccati differential equation. Comptes rendus de l’Academie bulgare des Sciences, 75, 11, 2022, DOI:10.7546/CRABS.2022.11.11. SJR:0.32, JCR-IF:0.19.
  3. Dineva, K., Atanasova, T., Balabanov, T.: Cloud Dataflow for Machine Learning Modeling on IoT Data in Smart Livestock Farming. SGEM 2022, DOI:10.5593/sgem2022/6.1/s25.09. SJR:0.217.
  4. Balabanov, T.: Estimation of Volatility based on the Estimation of Segmentation. Problems of Engineering Cybernetics and Robotics, 77, 2021, DOI:10.7546/PECR.77.21.01.
  5. Blagoev, I., Balabanov, T., Iliev, I.: RSA Weaknesses Caused by the Specifics of Random Number Generation. Information & Security, 50, 2, 2021, DOI:10.11610/isij.5028.
  6. Balabanov, T., Zankinski, I., Barova, M.: Distributed Evolutionary Computing Migration Strategy by Incident Node Participation. LNCS, 9374, Springer, 2016. SJR:0.339.
  7. Balabanov, T., Zankinski, I., Shumanov, B.: Slot Machine RTP Optimization and Symbols Wins Equalization with Discrete Differential Evolution. LNCS, 9374, Springer, 2015. SJR:0.339.
  8. Balabanov, T., Kirilov L., Guliashki, V., et al.: Strategy for Individuals Distribution by Incident Nodes Participation in Star Topology of Distributed Evolutionary Algorithms. Cybernetics and Information Technologies, 16, 1, 2016. SJR:0.17.
  9. Balabanov, T., Zankinski, I., Dobrinkova, N.: Time Series Prediction by Artificial Neural Networks and Differential Evolution in Distributed Environment. LNCS, 7116, Springer, 2012. SJR:0.308.
  10. Balabanov, T., Atanasova, T., Blagoev, I.: Activation Function Permutation for Multilayer Perceptron Training. BdKCSE’2018, ISSN:2367-6450.
  11. Balabanov, T., Blagoev, I., Dineva, K.: Self-Rising Tri Layers MLP for Time Series Forecasting. DCCN 2018, Springer, CCIS 919. SJR:0.17.