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Секция „Моделиране и оптимизация“

Институт по информационни и комуникационни технологии – БАН

← Назад към Състав
Образование и научни степени
  • 2020 – Доктор (Информатика), ИИКТ-БАН. Тема: „Интегриране на хетерогенни данни от разпределени IoT устройства“
  • 2016 – НБУ – София, магистър „Софтуерни технологии в интернет“
Публикации
  1. Atanasova, T., Danev, V., & Dineva, K. (2025). Integrating AI into the Energy Transition Towards Renewable Energy Sources. 10th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), 1-6. ISBN: 979-8-3315-1298-9. https://doi.org/10.1109/EEAE65901.2025.11273792
  2. Atanasova, T., Dineva, K., & Muchanova, V. (2025). Cognitive Decision Support System in IoT Applications. WSEAS Transactions on Computer Research, 13, WSEAS Press, 85-91.
  3. Dineva, K., & Atanasova, T. (2025). A Cloud-Based Architecture for Automated Data Extraction and Integration from Multiple Government Sources. SGEM International Scientific Conferences on Earth & Planetary Sciences, Schönbrunn Palace, Vienna, 03–06 December 2025. (accepted, in press)
  4. Dineva, K., & Atanasova, T. (2025). Green Energy and Digitalization: A Theoretical Perspective on the Role of Decentralized Technologies. SGEM International Scientific Conferences on Earth & Planetary Sciences, Schönbrunn Palace, Vienna, 03–06 December 2025. (accepted, in press)
  5. Dineva, K., Atanasova, T., & Kopanov, K. (2025). Data Collection Methodology For Artificial Intelligence Models In Socially Relevant Areas. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 25, 2.1, SGEM, 13-18. https://doi.org/10.5593/sgem2025/2.1/s07.02
  6. 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
  7. Danev, V., Atanasova, T., & Dineva, K. (2024). Multi-Sensor Platform in Precision Livestock Farming for Air Quality Measurement Based on Open-Source Tools. Applied Sciences, 14, 18, mdpi. https://doi.org/10.3390/app14188113
  8. Danev, V., Atanasova, T., Dineva, K., Blagoev, I., Petrov, P., Markov, N., Hristov, M., Stoycheva, S., Mondeshka, L., Valova, I., Valov, N., & Mladenova, Ts. (2024). Multisensor System for Measuring Air Components in Intelligent Animal Husbandry. 2024 9th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) 27-29 June 2024, IEEE, 1-4. ISBN: 979-8-3503-6938-0. https://doi.org/10.1109/EEAE60309.2024.10600612
  9. Dineva, K., Atanasova, T., & Danev, V. (2024). Air Quality Trends in Livestock Barns. Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024, 24, 6.1, SGEM, 117-124. https://doi.org/10.5593/sgem2024/6.1/s25.18
  10. Dineva, K., & Atanasova, T. (2023). Analysis of Dairy Cow Behavioral Patterns Using a Combination of IoT Data And Signal Processing Techniques. Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 23, 6.1, STEF92 Technology. https://doi.org/10.5593/sgem2023/6.1/s25.14
  11. Dineva, K., & Atanasova, T. (2023). FORECASTING WEEKLY COW MILK PRODUCTION USING A MULTIVARIATE TIME SERIES APPROACH. 23nd International Scientific Multidisciplinary Conference on Earth and Planetary Sciences SGEM 2023, 23, SGEM World Science (SWS) Society, Vienna, Austria. https://doi.org/10.5593/sgem2023V/6.2/s25.29
  12. Dineva, K., & Atanasova, T. (2023). Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud. Animals, 13, 20, MDPI. https://doi.org/10.3390/ani13203254
  13. Dineva, K., & Atanasova, T. (2023). RECOGNISING DAIRY COW’S BEHAVIOUR WITH LSTM MODEL TO IMPROVE FARM MANAGEMENT PRACTICES. 23nd International Scientific Multidisciplinary Conference on Earth and Planetary Sciences SGEM 2023, 23, 6.2, SGEM World Science (SWS) Society, Vienna, Austria. https://doi.org/10.5593/sgem2023V/6.2/s25.43
  14. Dineva, K., Atanasova, T., Balabanov, T., & Parvanov, D. (2023). How to Process. pp. 1-6. https://doi.org/10.1109/ICEET60227.2023.10525796
  15. Dineva, K., & Atanasova, T. (2022). Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming. Sensors, 22, 17, MDPI. https://doi.org/10.3390/s22176566
  16. Dineva, K., & Atanasova, T. (2022). Modelling and Simulation of Cloud-Based Digital Twins in Smart Farming. SGEM International Scientific Conferences On Earth & Planetary Sciences Extended Scientific Sessions “Green Sciences For Green Life” Schönbrunn Palace, Vienna 6 - 9 December. https://doi.org/10.5593/sgem2022V/6.2/s25.31
  17. 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
  18. Dineva, K., & Atanasova, T. (2021). Cloud Services Providers Evaluation Model for Designing High Performance, Real-Time IoT Big Data Solutions. 8th SWS CONFERENCE ON SOCIAL SCIENCES (ISCSS), (Digital Society and HealthCare section) of the International Scientific Conference on Social Sciences ISCSS, 7-10 December 2021, SGEM2021, Vienna ART Conference, SGEM World Science (SWS) Society, Vienna, Austria, 7-10. ISBN: 978-3-903438-00-2. https://doi.org/10.35603/sws.iscss.vg2021/s13.68
  19. Dineva, K., & Atanasova, T. (2021). Design of Scalable IoT Architecture based on AWS for Smart Livestock. Animals, 11, 9, MDPI. https://doi.org/10.3390/ani11092697
  20. Dineva, K., & Atanasova, T. (2021). Expandable IoT Architecture for Livestock in Agriculture 5.0. 21st INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE - SGEM 2021, 6.1, SGEM, 147-154. https://doi.org/10.5593/sgem2021/6.1/s25.19
  21. Dineva, K., Atanasova, T., Petrov, P., Parvanov, D., Mateeva, G., & Kostadinov, G. (2021). Towards CPS/IoT System for Livestock Smart Farm Monitoring. 2021 International Conference Automatics and Informatics (ICAI), IEEE, 252-255. https://doi.org/10.1109/ICAI52893.2021.9639460
  22. Dineva, K., & Atanasova, T. (2020). Architectural ML Framework for IoT Services Delivery Based on Microservices. V. M. Vishnevskiy et al. (Eds.): DCCN 2020, LNCS 12563, 12563, Springer Nature Switzerland AG, 698-711. https://doi.org/10.1007/978-3-030-66471-8_53
  23. Dineva, K., & Atanasova, T. (2020). Machine Learning Solution for IoT Big Data. 20th International Multidisciplinary Scientific Geoconference SGEM 2020, 18-24 Albena, Bulgaria, Conference Proceedings of Selected Papers, 2.1, SGEM World Science (SWS) Society, Austria, 18-24. https://doi.org/10.5593/sgem2020/2.1/s07.027
  24. Dineva, K., & Atanasova, T. (2020). Systematic Look at Machine Learning Algorithms - Advantages, Disadvantages and Practical Applications. 20th International Multidisciplinary Scientific Geoconference SGEM 2020, 18-24 Albena, Bulgaria, Conference Proceedings of Selected Papers, 2.1, SGEM World Science (SWS) Society, Austria, 18-24. https://doi.org/10.5593/sgem2020/2.1/s07.041
  25. Dineva, K., & Atanasova, T. (2019). Integrated systems with embedded sensors for digital agriculture. 19th International Multidisciplinary Scientific GeoConference SGEM 2019, 19, 6.1, SGEM, 761-768. https://doi.org/10.5593/sgem2019/6.1/S25.098
  26. Dineva, K., & Atanasova, T. (2019). Methodology for Data Processing in Modular IoT System. Distributed Computer and Communication Networks, 22-st International Conference, DCCN 2019, 11965, Chapter 35, Springer, LNCS, 457-468. ISBN: 978-3-030-36613-1.
  27. Dineva, K., & Atanasova, T. (2019). Regression analysis on data received from modular IOT system. ESM’2019, EUROSIS-ETI, 114-120. ISBN: 978-9492859-09-9.
  28. Dineva, K., & Atanasova, T. (2019). Security in IoT Systems. Proceedings 19th International Multidisciplinary Scientific Geoconference SGEM 2019, 19, 2.1, International Multidisciplinary Scientific Geoconference SGEM, 576-577. https://doi.org/10.5593/sgem2019/2.1/S07.075
  29. 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
  30. Dineva, K., & Atanasova, T. (2018). Applying machine learning against beehives dataset. 18-th International Multidisciplinary Scientific Geoconference - SGEM 2018, 18, 6.2, SGEM 2018, 35-42. https://doi.org/10.5593/sgem2018/6.2/S25.005
  31. Dineva, K., & Atanasova, T. (2018). ICT-based Beekeeping using IoT and Machine Learning. Distributed Computer and Communication Networks, 21-st International Conference, DCCN 2018, 919, Springer, 132-143. https://doi.org/10.1007/978-3-319-99447-5_12
  32. Dineva, K., & Atanasova, T. (2018). OSEMN process for working over data acquired by IoT devices mounted in beehives. Current Trends in Natural Sciences, 7, 13, University of Pitesti, 47-53.
  33. Динева, K., и Атанасова, T. (2018). Подходи и методи за анализ и обработка на данните в мониторингова система за пчелни кошери. ГОДИШНИК ”Телекомуникации” 2018, 5, НОВ БЪЛГАРСКИ УНИВЕРСИТЕТ – София, 37-46.
  34. Dineva, K. (2017). Analytical review of existing computer systems for monitoring of bee hives. Proceedings of International Scientific Conference UniTech 2017, Gabrovo, 17-18.11.2017, Vol. II, 17-18.
  35. Dineva, K. (2017). Internet of things in help of sustainable agricultural development. Proceedings of the International Conference Automatics and Informatics`2017, Bulgaria, Sofia, October 4-6, 309-312.
  36. Dineva, K., & Atanasova, T. (2017). Computer system using internet of things for monitoring of bee hives. 17th International Multidisciplinary Scientific Geo Conference SGEM 2017, 17, SGEM, 169-176. https://doi.org/10.5593/SGEM2017H/63/S25.022
  37. Dineva, K., & Atanasova, T. (2017). Model of Modular IoT-based Bee-Keeping System. European Simulation and Modelling Conference ESM'2017, EUROSIS-ETI, 404-406. ISBN: 978-9492859-00-6.
  38. Динева, K. (2017). Изложение CeBIT Хановер 2017 г. Автоматика и Информатика, 53-55.