Др Драгица Д. Ранковић

Академско звање: Доценти

Датум рођења: 16.08.1963.

Запослен од: 01.10.2024.

Email: drankovic@raf.rs

Академска каријера

Избор у звање 2024. Рачунарски факултет, Интелигентни системи

Докторат 2009. Технички факултет, Универзитет Нови Сад

Диплома 1990. Математички факултет, Универзитет Крагујевац, Математика

Рођена у Миличиници, општина Ваљево. Дипломирала на природно математичком факултету у Крагујевцу, на групи за математику. Одбранила докторску дисертацију 2009.године на Техничком факултету у Зрењанину, Универзитета у Новом Саду и стекла назив доктора техничких наука.

Од 1990. до 2019. запослена у Пољопривредној и Медицинској школи у Ваљеву као професор математике и информатике. Од 2017. до 2019. радила је као саветник спољни сарадник у школској управи у Ваљеви и Заводу за вредновање квалитета рада у Београду.

Од 2019. до 2021. запослена као асистент са докторатом на Рачунарском факултету, Универзитета Унион. Од 2021. до 2024. радила је као доцент за математику са информатиком и статистиком на Факултету примењених наука у Нишу, Универзитета Привредна академија у Новом Саду. Од 2024. године ради на Рачунарском факултету у Београду као доцент за Интелигентне системе.

Научно-стручна продукција

  1.  N. Ranković, D. Ranković, J. Kaljević, „Artificial Intelligence techniques in Software Engineering (1st Edition)“, ISBN: 978-86-7912-809-6, Univerzitet Singidunum Beograd, Srbija, 2023. COBISS.RS-ID 131060745 Original language: English, Pages: 255 (Univerzitetski udzbenik za strane studente) Dostupno na: https://singipedia.singidunum.ac.rs/izdanje/44431-artificial-intelligence-techniques-in-software-engineering.
  2.  D.Ranković, N.Ranković, Lj.Lazić, „Оsnove statističke analize podataka u SPSS-u. (1st Edition)“ udzbenik za studente Fakulteta primenjenih nauka u Nišu. ISBN: 978-86-81190-28-9, ISSN: 1873-5371, 20023.
  3.  N. Rankovic, D. Rankovic, M. Ivanovic, J. Kaljevic. ”Interpretable software estimation with graph neural networks and orthogonal array tunning method”, Information Processing & Management (IF=8.6), Volume 61, Issue 5, https://doi.org/10.1016/j.ipm.2024.103778. Print ISSN: 0306-4573, online ISSN: 1873-5371 М21а
  4. N. Rankovic, D. Rankovic, I. Lukic.“Innovation in Hyperinsulinemia Diagnostics with ANN-L(atin square) Models”, Section: Machine Learning and Artificial Intelligence in Diagnostics, Diagnostics, Volume 13, Issue 4, pg. 798, doi: 10.3390/diagnostics13040798 (IF = 3.6) ISSN: 2075-4418 М21
  5. N. Rankovic, D. Rankovic, M. Ivanovic and L. Lazic, “A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays,” in IEEE Access, vol. 9, pp. 26926-26936, 2021, doi: 10.1109/ACCESS.2021.3057807. (IF = 3.75) ISSN: 2169-3536 М21
  6. D. Rankovic, N. Rankovic, M. Ivanovic and L. Lazic, “Convergence rate of Artificial Neural Networks in software development projects”, Information and Software Technology Journal, Volume 138, October 2021.
    https://doi.org/10.1016/j.infsof.2021.106627 (IF = 3.9) ISSN: 0950-5849 М21
  7. N. Rankovic, D. Rankovic, M. Ivanovic, and I. Lukic. “Explainable data mining model for hyperinsulinemia diagnostics”, Connection Science, Volume 36, Issue 1, Taylor & Francis (IF=5.3) ISSN: 0954-0091
    https://doi.org/10.1080/09540091.2024.2325496 М21
  8. Rankovic, N.; Rankovic, D.; Ivanovic, M.; Lazic, L. “A Novel UCP Model Based on Artificial Neural Networks and Orthogonal Arrays”. Applied. Sciences. 2021, 11, 8799. https://doi.org/10.3390/app11198799. (IF=2.7) ISSN: 2076-3417
    М22
  9. N. Rankovic and D. Rankovic. “Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises” Journal of Theoretical and Applied E-Commerce Research (IF = 5.6) 2024, 19, 381-395. https://doi.org/10.3390/jtaer19010020 ISSN: 0718-1876
    М22
  10. N. Rankovic, D. Rankovic, I. Lukic et al., “Ensemble Model for Predicting Chronic Non-Communicable Diseases using Latin Square Extraction and Fuzzy-Artificial Neural Networks from 2013 to 2019”, Heliyon, Elsevier, 9, (IF=4.0) e22561, https://doi.org/10.1016/j.heliyon.2023.e22561 ISSN: 2405-8440
    М22
  11. N. Rankovic, D. Rankovic, I. Lukic, N. Savic, V. Jovanovic. “Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks”, Journal of Personalized Medicine, 13(7):1032. ISSN: 2075-4426
    https://doi.org/10.3390/jpm13071032. (IF = 3.4) М22
  12. I. Lukić, N. Ranković, N. Savić, D. Ranković, Ž. Popov, A. Vujić, N. Folić. “A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm”. Healthcare. 2022; 10(5):921
    https://doi.org/10.3390/healthcare10050921 (IF = 2.8) ISSN: 2227-9032 М22
  13. I. Lukic, N. Savic, M. Simic, N. Rankovic, D. Rankovic, and Lj. Lazic. „Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents“, Medicina 58, 2022, no. 1: 9.
    https://doi.org/10.3390/medicina58010009. (IF = 2.6) ISSN: 1010-660X М22
  14. N. Rankovic, D. Rankovic, M. Ivanovic and L. Lazic, „Improved effort and cost estimation model using Artificial Neural Networks and Taguchi method with different activation functions“, in Entropy 2021, 23(7), 854;
    https://doi.org/10.3390/e23070854 (IF 2.7) ISSN: 1099-4300
    М22
  15. Rankovic, N., Rankovic, D., Ivanovic, M., & Lazic, L. (2021). “COSMIC FP method in software development estimation using Artificial Neural Networks based on Orthogonal Arrays”. Connection Science, Vol. 34, No. 1, 185-204,
    doi: https://doi.org/10.1080/09540091.2021.1981824. (IF=5.3) ISSN: М22
  16. N. Rankovic, D. Rankovic, M. Ivanovic and L. Lazic, “Influence of input values on the prediction model error using Artificial Neural Network based on Taguchi’s Orthogonal Array”, Concurrency and Computation: Practice and Experience, 2022. doi: 10.1002/cpe.6831 (IF = 2.0) ISSN: 1532-0634 M22
  17. N. Rankovic, D. Rankovic, I. Lukic. “Interpretable Graph Hyperinsulinemia Detection Model With Orthogonal Array Optimization”, IEEE Prognostics and System Health Management Conference 2024, May 28-31, Stockholm, Sweden, held by KTH Royal Institue, Special paper session: Graph neural networks for prognosis and health management, Stockholm; Sweden M33
  18. N. Rankovic and D. Rankovic. “Power of LSTM and SHAP in the Use Case Point Approach for Software Effort and Cost Estimation”, IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, Stará Lesná, The High Tatras, Slovakia, January 25-27, 2024. 10.1109/SAMI60510.2024.10432878 M33
  19. D. Rankovic, N. Rankovic, M. Ivanovic, L. Lazic: “The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects”. AIAI (1) Greece, 2022: 420-431, Greece. М33
  20. N. Rankovic, D. Rankovic, M. Ivanovic and L. Lazic, „Artificial Neural Network Architecture and Orthogonal Arrays in Estimation of Software Projects Efforts“, 2021 International Conference on INnovations in Intelligent SysTems and Applications, Technically Co-Sponsored by the IEEE SMC Society, August 25-27, Kocaeli, Turkey. *Best paper award – international conference (IEEE) М33
  21. N. Rankovic, D. Rankovic, M. Ivanovic. “Power of Artificial Neural Networks and Taguchi’s Orthogonal Arrays in software effort and cost estimation”, CEUR Proceedings, SQAMIA 2023: Software Quality Analysis, Monitoring, Improvement, and Applications 2023. September 10-13. Bratislava, Slovakia. https://ceur-ws.org/Vol-3588/ M33
  22. N. Ranković, T. Radmanović, D. Ranković, M. Bjelica, “Visualization tools for large amount of data”, AIIT conference (Applied Internet and Information Technologies), 3-4.Oktobar, 2019. Tehnical faculty “Mihajlo Pupin” Zrenjanin.
    http://www.tfzr.uns.ac.rs/aiit/old/archives/AIIT2019/files/AIIT2019_ProceedingsFinal.pdf
    M33
  23. T. Radmanović, N. Ranković, D. Radosav, D. Ranković, M. Bjelica, “Determining factors for enrollment at the Technical Faculty of Zrenjanin”, ITRO conference (Information technology and education development) 27. Jun, 2019. Tehnical facilty “Mihajlo Pupin” Zrenjanin. http://www.tfzr.rs/itro/Zbornik%20ITRO%202019.pdf M33
  24. N. Ranković, M. Ivanović, M. Savić, E. Kajo Mece, A. Stoyanova-Doycheva, and D. Ranković. 2019, „Female students’ attitude towards studying informatics and expectations for future career – Balkan case“, In Proceedings of 9th Balkan Conference In Informatics (BCI’19). ACM 2019, New York, NY, USA, ISBN 978-1-4503-7193-3, pp. 16:1-16:7. https://dl.acm.org/doi/abs/10.1145/3351556.3351571. M33