Milica Zukanović

Asistent

Katedra za upravljanje sistemima
  • milica.zukanovic@fon.bg.ac.rs
  • 103
  • Utorak 11:00 - 14:00

Termin konsultacija

Obrazovanje

  • 2022., master inženjer organizacionih nauka – Elektronsko poslovanje i upravljanje sistemima, Univerzitet u Beogradu-Fakultet organizacionih nauka
  • 2020., diplomirani inženjer organizacionih nauka – Informacioni sistemi i tehnologije, Univerzitet u Beogradu-Fakultet organizacionih nauka

Odabrane reference

  • Milošević, P., Rakićević, A., Dragović, I., Poledica, A., Petrović, B., Vukićević A., & Zukanović, M. (2021). Računarska inteligencija Praktikum u MATLAB-u. Beograd: FON.
  • Zukanović, M., Milošević, P., Poledica, A., Vučičević, A. (2023). An Approach to Corporate Credit Rating Prediction Using Computational Intelligence-Based Methods. In: Mihić, M., Jednak, S., Savić, G. (eds) Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-COVID Era. SymOrg 2022. Lecture Notes in Networks and Systems, vol 562. Springer, Cham. https://doi.org/10.1007/978-3-031-18645-5_6
  • Milošević, P., Dragović, I., Zukanović, M., Poledica, A., & Petrović, B. (2023, August). IFS-IBA Logical Aggregation with Frank t-norms. In Conference of the European Society for Fuzzy Logic and Technology (pp. 99-111). Cham: Springer Nature Switzerland.
  • Zukanović, M., Rakićević, A., & Dragović, I. (2022). Sales forecasting in restaurants using computational intelligence. In In M. Mihić, S. Jednak & G. Savić (Eds.), Book of Abstracts of the XVIII International Symposium of Organizational Sciences: Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-Covid Era (pp. 46-47). Belgrade: Faculty of Organizational Sciences.
  • Zukanović, M., Milošević, P., & Poledica, A. (2022). The impact of missing values on corporate credit rating prediction performance. In M. Mihić, S. Jednak & G. Savić (Eds.), Book of Abstracts of the XVIII International Symposium of Organizational Sciences: Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-Covid Era (pp. 48-49). Belgrade: Faculty of Organizational Sciences.
  • Matić, A., Zukanović, M., & Rakićević, A. (2022). Fazi sistem za algoritamsko trgovanje zasnovan na tehničkoj analizi. In Z. Mladenović & M. Stamenković (Eds.), Proceedings of XLIX International Symposium on Operational Research (SYM-OP-IS 2022) (pp. 433). Belgrade: Faculty of Economics and Business.
  • Tasić, L., Poledica, A., & Zukanović, M. (2022). Primena fazi klasterovanja za kategorisanje teniskih igrača. In Z. Mladenović & M. Stamenković (Eds.), Proceedings of XLIX International Symposium on Operational Research (SYM-OP-IS 2022) (pp. 435-440). Belgrade: Faculty of Economics and Business.
  • Zukanović, M., & Poledica, A. (2023). Duboko učenje za predviđanje finansijskih vremenskih serija. XLX International Symposium on Operational Research (SYM-OP-IS 2023). (rad prihvaćen za objavljivanje)

Učešće na projektima

  • 2023, FON Ideje, Razvoj sistema za upravljanje tokovima knjiga u okviru Izdavačke delatnosti Fakulteta
  • 2021, LUKOWA Academy, na poziciji operativnog menadžera projekta
  • 2020, LUKOWA Academy, na poziciji administratora projekta
  • 2019, LUKOWA Academy, na poziciji koordinator volontera

Članstvo u organizacijama

  • EUSFLAT
  • IFSTART

Ostalo

  • DSC CROATIA 22, tehnički tutorijal na temu “RFM Segmentation, Analysis & Model Marketing with R: Know your customers”