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  • 2020 – IICT-BAS, Doctor, PhD Thesis: “Integration of heterogeneous data from distributed IoT devices”
  • 2014–2016 – New Bulgarian University, MSc in Computer Science
  • 2013–2014 – Roma Tre University, Italy – Erasmus EU Programme
  • 2010–2014 – University of Economics – Varna, Bachelor in Economy of Industry
  • 2005–2010 – School of Trade “Knyaz Simeon Tarnovski”, High-School of Economics
National Scientific Programs
  • NSP SD, grant agreement No. Д01-74/19.05.2022
  • NSP Intelligent Animal Husbandry, grant agreement No. Д01-62/18.03.2021
Awards & Certificates
  • Award of IICT-BAS for excellent scientific achievements in 2019 (PhD student category)
  • Young Scientist Award “Prof. Marin Drinov”, competition 2021
  • AWS Certified Cloud Practitioner – MBFM7FDLEJ4EQ93Y, 23.10.2021
Publications (selected)
  1. Dineva K., Atanasova T.: Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud. Animals, 13, 20, MDPI, 2023. Q1
  2. Dineva, K., Atanasova, T.: Analysis of Dairy Cow Behavioral Patterns Using IoT Data and Signal Processing Techniques. SGEM 2023. Scopus
  3. Dineva, K., Atanasova, T.: Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming. Sensors, 22, 17, MDPI, 2022. SJR:0.8, JCR-IF:3.847
  4. Dineva, K., Atanasova, T., Balabanov, T.: Cloud Dataflow for Machine Learning Modeling on IoT Data in Smart Livestock Farming. SGEM 2022. SJR:0.217
  5. Dineva, K., Atanasova, T.: Design of Scalable IoT Architecture based on AWS for Smart Livestock. Animals, 11, 9, MDPI, 2021. Q1
  6. Dineva, K., Atanasova, T.: Architectural ML Framework for IoT Services Delivery Based on Microservices. LNCS, 12563, Springer, 2020. SJR:0.427 Q2
  7. Dineva, K., Atanasova, T.: Methodology for Data Processing in Modular IoT System. DCCN 2019, LNCS, 11965, Springer. SJR:0.427 Q2
  8. Dineva, K., Atanasova, T.: ICT-based Beekeeping using IoT and Machine Learning. DCCN 2018, CCIS, 919, Springer. SJR:0.188 Q3
  9. Dineva, K., Atanasova, T.: Computer System Using Internet of Things for Monitoring of Bee Hives. SGEM 2017. SJR:0.232 Q4
  10. Balabanov, T., Blagoev, I., Dineva, K.: Self Rising Tri Layers MLP for Time Series Forecasting. DCCN 2018, CCIS, 919, Springer. SJR:0.17