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Секция „Моделиране и оптимизация“

Институт по информационни и комуникационни технологии – БАН

← Назад към Състав Изследователски интереси
  • Разпределен изкуствен интелект
  • Системи за обработка на знания
  • Комплексни системи за управление
  • Обучаващи се структури
  • Технологии на информационното общество
Образование и научни степени
  • 1977–1983 – инженер с отличие, специалност „Автоматика“, Московски енергетичен институт (Технически университет)
  • 2001 – Доктор (Техническа кибернетика), Институт по информационни технологии – БАН, София
Национални научни програми
  • ННП „Сигурност и Отбрана“ ДСД-1/07.07.2022 г. (ННП СиО)
  • ННП „Интелигентно животновъдство“ Д01-62/18.03.2021 (ННП ИНТЕ-ЖИВО)
  • ННП „Информационни и комуникационни технологии за единен цифров пазар в науката, образованието и сигурността“ Д01-205/23.11.2018 (ННП ИКТвНОС)
Международни проекти
  • 2012–2014, „Разработка интеллектуальных методов и средств поддержки принятия решений“, Договор с Руска академия на науките
  • 2006–2008, 2009–2011, „Theoretical methods for distributed information networks and systems design“, Договор с Руска академия на науките
  • 2004–2007, FP6/2002/IST/2. FP6-IST INFRAWEBS „Intelligent Framework for Generating Open (Adaptable) Development Platforms for Web-Service Enabled Applications Using Semantic Web Technologies, Distributed Support Units and Multi-Agent Systems“
  • 2003–2005, „Methods and algorithms for analysis and design of distributed information nets“, БАН/Руска академия
  • 2001–2004, „Distributed computer and communication networks“, БАН/Руска академия
  • 1999–2000, „Development of Distributed knowledge base and intelligent broker“, БАН/Finnish Academy
  • 1998–2000, FP4-INCO–COPERNICUS. KNIXMAS (project N 977113)
Членство в редакционни колегии Членство в програмни комитети
  • ISC’2023, ISC’2021 – Industrial Simulation Conference
  • DCCN – International Conference Distributed Computer and Communication Networks (2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2013, 2010, 2009, 2008, 2007, 2006, 2005)
  • MESM’2022, MESM’2019 – International Middle Eastern Simulation and Modelling Conference
  • BdKCSE – Big Data, Knowledge and Control Systems Engineering (2021, 2019, 2018)
  • eM&BI „e-Management & Business Intelligence“ (2008, 2007)
Съставител на сборници научни трудове
  • „Моделиране и управление на информационните процеси“, KTП, София, 2013, ISSN 1314-2771
  • „Моделиране и управление на информационните процеси“, KTП, София, 2010, ISSN 1314-2771
  • „Моделиране и управление на информационните процеси“, KTП, София, 2009, ISBN 978-954-9332-55-1
Публикации
  1. Danev, V., Atanasova, T., Parvanov, D.: Systematic Look at MCDM Methods for Designing Smart Home System. The 37th annual European Simulation and Modelling Conference, October 24-26, 2023, EUROSIS-ETI, 2023, ISBN:978-9-492-859-28-0, 324-330.
  2. Dineva K., Atanasova T.: Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud. Animals, 13, 20, MDPI, 2023, DOI:https://doi.org/10.3390/ani13203254, 3254.
  3. Dineva, K., Atanasova, T.: Analysis of Dairy Cow Behavioral Patterns Using a Combination of IoT Data And Signal Processing Techniques. SGEM 2023, DOI:10.5593/sgem2023/6.1/s25.14.
  4. Dineva, K., Atanasova, T.: FORECASTING WEEKLY COW MILK PRODUCTION USING A MULTIVARIATE TIME SERIES APPROACH. SGEM 2023, DOI:10.5593/sgem2023V/6.2/s25.29.
  5. Dineva, K., Atanasova, T.: RECOGNISING DAIRY COW’S BEHAVIOUR WITH LSTM MODEL TO IMPROVE FARM MANAGEMENT PRACTICES. SGEM 2023, DOI:10.5593/sgem2023V/6.2/s25.43.
  6. Parvanov, D., Atanasova, T.: Study on models and methods for collection and processing of parametric and bio-parametric data. RAM’2023, ISSN:1314-4634, 5-8.
  7. Dineva, K., Atanasova, T.: Modelling and Simulation of Cloud-Based Digital Twins in Smart Farming. SGEM 2022/Vienna Green, DOI:10.5593/sgem2022V/6.2/s25.31. SJR (Scopus):0.14.
  8. Blagoev, I., Atanasova, T.: Problems of Ensuring Data Security in Digital Management of Processes in Animal Husbandry. IEEE EE&AE 2022, DOI:10.1109/EEAE53789.2022.9831280.
  9. Blagoev, I., Atanasova, T.: RNG Entropy Enrichment to Improve Cybersecurity in IoT and Cloud Services. CIEES 2022, DOI:10.1109/CIEES55704.2022.9990782.
  10. Chikurteva, A., Atanasova, T.: Application of Project-Based Learning in Animal Husbandry Using Flipped Classroom and Virtual Reality. ICERI2022, IATED, 2022.
  11. 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 (Scopus):0.217.
  12. Dineva, K., Atanasova, T.: Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming. Sensors, 22, 17, MDPI, 2022, DOI:https://doi.org/10.3390/s22176566, 6566. SJR (Scopus):0.8, JCR-IF (Web of Science):3.847.
  13. Petrov, P., Atanasova, T.: Enhancing STEM Education Through Project-Based Learning Combined with Virtual and Augmented Reality. ICERI2022, IATED, 2022.
  14. Markov, N., Stoycheva, S., Hristov, M., Mondeshka, L., Atanasova, T., Blagoev, I., Petrov, P., Valova, I., Valov, N., Mladenova, Ts.: Smart Dairy Farm – Digitalization and Innovation. IEEE EE&AE 2022, DOI:10.1109/EEAE53789.2022.9831220.
  15. Valov, N., Evstatiev, B., Mladenova, Ts., et al.: Design of a Sensor Measuring Station for Pasture Parameters Remote Monitoring. HORA 2022, DOI:10.1109/HORA55278.2022.9800039.
  16. Dineva, K., Atanasova, T.: Design of Scalable IoT Architecture based on AWS for Smart Livestock. Animals, 11, 9, MDPI, 2021, DOI:https://doi.org/10.3390/ani11092697, 2697.
  17. Dineva K., Atanasova T., Petrov P., Parvanov D., Mateeva G., Kostadinov G.: Towards CPS/IoT System for Livestock Smart Farm Monitoring. IEEE ICAI 2021, DOI:10.1109/ICAI52893.2021.9639460.
  18. Bakanova, N., Atanasova, T., Bakanov, A.: Modelling Human-Computer Interactions based on Cognitive Styles within Collective Decision-Making. Advances in Science, Technology and Engineering Systems Journal, 6, 1, 2021, pp. 631-635.
  19. Dineva, K., Atanasova, T.: Architectural ML Framework for IoT Services Delivery Based on Microservices. DCCN 2020, LNCS 12563, Springer, 2020, DOI:10.1007/978-3-030-66471-8_53.
  20. Dineva, K., Atanasova, T.: Machine Learning Solution for IoT Big Data. SGEM 2020, DOI:https://doi.org/10.5593/sgem2020/2.1/s07.027.
  21. Dineva, K., Atanasova, T.: Systematic Look at Machine Learning Algorithms – Advantages, Disadvantages and Practical Applications. SGEM 2020, DOI:https://doi.org/10.5593/sgem2020/2.1/s07.041.
  22. Bakanova, N., Atanasova, T., Bakanov, A.: Applying of Machine Learning on The Data from Structured Database at Research Institute for Decision Making Support. DCCN 2020, Springer, 2020.
  23. Bakanov A., Atanasova, T., Bakanova, N., Tashev, T.: Development of Monitoring Services for Analysis of Users’ Requests in Distributed IS. MLSD 2020, IEEE, DOI:10.1109/MLSD49919.2020.9247676.
  24. Bakanova, N., Atanasova, T.: Method for Automated Analysis of Users’ Requests to Service Centre of Information Networks. Problems of Engineering Cybernetics and Robotics, 74, 2020, doi:10.7546/PECR.74.20.04.
  25. Petrov, P., Atanasova, T.: The Effect of Augmented Reality on Students’ Learning Performance in Stem Education. Information, 11, 4, MDPI, 2020, DOI:https://doi.org/10.3390/info11040209.
  26. Petrov, P., Atanasova, T.: Developing Spatial Mathematical Skills Through Augmented Reality and Geogebra. ICERI2020, IATED, 2020.
  27. Petrov, P., Atanasova, T., Kostadinov, G.: Types, Technologies and Trends in E-Learning. Information Technologies and Control, 3, 2019, DOI:10.7546/itc-2019-0015.
  28. Kostadinov, G., Atanasova, T., Petrov, P.: Reducing the Number of Incidents in Converged IT Infrastructure Using Correlation Approach. IEEE ICAI 2020, DOI:10.1109/ICAI50593.2020.9311349.
  29. Kostadinov G., Atanasova T.: Security Policies for Wireless and Network Infrastructure. Problems of Engineering Cybernetics and Robotics, 71, 2020, ISSN:1314-409X, 14-19.
  30. Atanasova, T.: Methods for processing of Heterogeneous Data in IoT based Systems. DCCN 2019, CCIS 1141, Springer, 2019, DOI:https://doi.org/10.1007/978-3-030-36625-4_42.
  31. Dineva, K., Atanasova, T.: Methodology for Data Processing in Modular IoT System. DCCN 2019, LNCS 11965, Springer, 2019.
  32. Dineva, K., Atanasova, T.: Integrated Systems With Embedded Sensors for Digital Agriculture. SGEM 2019.
  33. Dineva, K., Atanasova, T.: Regression Analysis on Data Received from Modular IoT System. ESM’2019, EUROSIS-ETI.
  34. Petrov, P., Atanasova, T.: An overview of virtual and augmented realities in STEM education. ESM’2019.
  35. Dineva, K., Atanasova, T.: Security in IoT Systems. SGEM 2019, DOI:10.5593/sgem2019/2.1.
  36. Dineva, K., Atanasova, T.: ICT-based Beekeeping using IoT and Machine Learning. DCCN 2018, CCIS 919, Springer, 2018.
  37. Dineva, K., Atanasova, T.: Applying machine learning against beehives dataset. SGEM 2018, DOI:10.5593/sgem2018/6.2.
  38. Dineva, K., Atanasova, T.: OSEMN process for working over data acquired by IoT devices mounted in beehives. Current Trends in Natural Sciences, 7, 13, 2018.
  39. Bakanova N.B., Atanasova T.V.: Use of Information Resources of Organizational Systems to Support Managerial Decisions. BdKCSE’2018, ISSN 2367-6450.
  40. Balabanov, T., Atanasova, T., Blagoev, I.: Activation Function Permutation for Multilayer Perceptron Training. BdKCSE’2018, ISSN 2367-6450.
  41. K. Dineva, T. Atanasova: Computer System Using Internet of Things for Monitoring of Bee Hives. SGEM 2017.
  42. Tatiana Atanasova, Maria Barova: Exploratory analysis of Time Series for hypothesize feature values. UNITECH’2017, ISSN: 1313-230X.
  43. K. Dineva, T. Atanasova: Model of Modular IoT-based Bee-Keeping System. ESM’2017, EUROSIS-ETI.
  44. Atanasova T., Poryazov S., Saranova E.: Information functions composition for QoS and QoE management in smart buildings. DCCN-2017.
  45. T. Atanasova, J. Atanasov: Business Processes Traceability in SME by barcode system. UNITECH’16, 2016, ISSN:1313-230X.
  46. Tatiana Atanasova: Smart Building Solutions Enabled By IoT аnd Fog Computing. НВУ „Васил Левски“, 2016, ISSN 2367-7481.
  47. T. Atanasova: Integrated Semantic-Based Processes in Digital Home. INFORMATYKA EKONOMICZNA BUSINESS INFORMATICS, 3(33), 2014, ISSN 1507-3858.
  48. T. Atanasova: Towards Semantic-based Process-oriented Control in Digital Home. FedCSIS 2014, IEEE. (Scopus)
  49. Atanasova T., N. Bakanova: Information support for decision making in organization management. RAM’2014, ISSN 1314-4634.
  50. T. Atanasova: Modelling of Complex Objects in Distance Learning Systems. „Innovative Teaching Methodology“, Tbilisi, Georgia, 2014.
  51. T. Atanasova: Integration of Heterogeneous Data and Processes in Digital Home. RAM’2013, ISSN 1314-4634.
  52. T. Atanasova: Digital networked houses: problems, challenges and trends. TELFOR 2012, IEEE, ISBN: 978-1-4673-2984-2.
  53. T. Atanasova, A. Mishina: MULTISERVICE NETWORKS IN DIGITAL HOUSES. Problems of Engineering Cybernetics and Robotics, 65, 2012, pp. 14-21.
  54. T. Atanasova: Using of Process Ontologies for Decision Support in Information Management Systems. International Journal INFORMATION TECHNOLOGIES & KNOWLEDGE, 6/2012.
  55. Atanassov J., Atanasova T.: Optimizing the management and control of apparel enterprise by information technologies. TELFOR 2011.
  56. T. Atanasova, T. Tashev: Analysis and Evaluation of Energy Losses in Living Environment. Problems of Engineering Cybernetics and Robotics, 64, 2011.
  57. T. Atanasova: Towards construction of energy saving smart living environment. DCCN 2009.
  58. И. Радева, Т. Атанасова, Т. Нанева: Размити Оценки на Инвестиционна Привлекателност. AUTOMATICS AND INFORMATICS’09, 2009.
  59. T. Atanasova, Hr. Daskalova: An Approach for Semantic Web Service Composition. Euromedia-2006, Athens.
  60. T. Atanasova: INFRAWEBS BPEL-Based Editor for Semantic Web Services Description. International Journal «Information Theories and Applications», 13, 2, 2006, pp. 188-194.
  61. T. Atanasova, G. Agre, H. J. Nern: INFRAWEBS Semantic Web Unit For Design and Composition Of Semantic Web Services. Euromedia-2005, Toulouse.
  62. Atanasova T.: On the Stability of Discrete-Time Control System with Multilayer Neural Net. Comptes Rendus de L'Academie Bulgare des Sciences, 55, 10, 2002, pp. 27-34.
  63. T. Atanasova: An Approach for Intelligent Decision Support in Research Knowledge Network. Problems of Engineering Cybernetics and Robotics, 52, 2001, pp. 35-42.
  64. Atanasova, T., Nern H.-J., Hamalainen, M., et al.: Distributed heterogeneous knowledge data base for control system design. IEEE ISIC 2000, pp. 363-368.
  65. Atanasova, T., J. Zaprianov: Stable adaptive neural network control for tracking problem solution. Complex control systems, 10, 1996.
  66. Atanasova, T., A. Grancharova, S. Vassileva: Adaptive control based on neural network with biotechnological applications. IFAC’95, Ostrava, 1995.
Учебници и учебни помагала
  • Красимира Иванова, Татяна Атанасова. Линейно оптимиране, ВУТП, София, 2015, ISBN 978 954 9332-93-3.
  • В. Григорова, Т. Атанасова, Хр. Даскалова. Публикуване в Интернет, КТП, София, 2004, ISBN 954-9332-10-1.
Глави от книги
  • Agre, G., T. Pariente, T. Atanasova et al. INFRAWEBS – A Framework for Semantic Service Engineering. In: At Your Service, MIT Press, 2009, ISBN-13: 978-0-262-04253-6, pp. 299-327.
  • T. Atanasova, V. Lubenova, J. Zaprianov, Nour-Eldin: Estimation of state variable in power system combining theoretical knowledge with RBF neural network. In: Computational Intelligence in Systems and Control Design and Applications, Kluwer Academic Publisher, 1999, pp. 193-200.
Преподавателска дейност
  • Висше училище по телекомуникации и пощи (2010–2016) – Висша математика, Математически методи в икономиката, Математическо моделиране, Инженерна математика, Комуникационни вериги
  • ЮЗУ „Неофит Рилски“ (2017–2018) – Предаване на данни и компютърни комуникации, NGN, Цифрови комуникации
Членство в професионални асоциации
  • ITHEA – International Scientific Society
  • Съюз по Автоматика и Информатика