MSc. Ana L. Vukićević

Akademsko zvanje: Asistenti

Datum rođenja: 15.02.1990.

Akademska karijera

Ana Vukićević rođena je 15.02.1990. godine u Novom Pazaru. Osnovnu školu i gimnaziju (prirodno matematički smer) završila je u Novom Pazaru sa odličnim uspehom. Fakultet organizacionih nauka, Univerziteta u Beogradu, studijski program Menadžment i organizacija, upisala je školske 2009/10 godine. Diplomirala je 2013. godine sa prosečnom ocenom 8,67 (osam, 87/100). Diplomske (Master) studije na odseku za Menadžment i organizacija, modul Poslovna inteligencija, Fakulteta organizacionih nauka, Univerziteta u Beogradu, upisala je 2013. godine. Master studije završila je sa prosečnom ocenom 9,71 (devet, 71/100) i odbranila master rad „Tehnike predprocesiranja medicinskih podataka u cilju poboljšanja predviđanja ponovnog dolaska pacijeta u bolnicu“.

Od septembra 2014. do maja 2015. je bila Gostujući istraživač na Templ Univerzitetu, Filadelfija, SAD, gde učestvuje na projektu „Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks“, finansiranom od strane DARPA Broj projekta: FA9550-12-1-0406.

Nakon toga u decembru 2015 se zapošljava u Saga doo kao Programer poslovne inteligencije gde ostaje do jula 2024. Nakon toga postaje Senior programer poslovne inteligencije u Kinšift doo, Beograd.

Tokom 2019. godine učestvovala je na projektu „Agregacija računarskih algoritama i ljudskih preferencija u donošenju odluka u okruženjima sa više učesnika“ finansiran od Kancelarije za pomorska istraživanja, Broj projekta: ONR N62909-19-1-2008.

Tokom dosadašnjeg rada Ana Vukićević je objavila više radova u zemlji i inostranstvu i učestvovala na više međunarodnih i domaćih skupova i konferencija.

Naučno-stručna produkcija

Radovi objavljeni u naučnim časopisima međunarodnog značaja – M20

  1. Vukićević, A., Vukićević, M., Radovanović, S., Delibašić, B. (2022) BargCrEx – A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing, Group Decision and Negotiation, https://doi.org/10.1007/s10726-022-09783-0 M22, IF 3.6
  2. Krmar, J., Vukićević, M., Kovačević, A., Protić, A., Zečević, M., & Otašević, B. (2020). Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for Quantitative Structure-Retention Relationships modeling in micellar liquid chromatography. Journal of Chromatography A, 461146. https://doi.org/10.1016/j.chroma.2020.461146 M21, IF 3.8

Zbornici međunarodnih naučnih skupova – M30

  1. Vukicevic, M., Radovanovic, S., Kovacevic, A., Stiglic, G., & Obradovic, Z. (2015). Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. In Knowledge Management in Organizations (pp. 695-706). Springer International Publishing. DOI: 10.1007/978-3-319-21009-4_51  M33
  2. Vukicevic, M., Radovanovic, S., Kovacevic, A., Delibasic, B., Suknovic, M., Obradović, Z., Štiglić, G., Kalousis, A. (2015) Privacy Preserving DSS for reducing Hospital Re-admission rates based on predictive models and knowledge and data sharing, Proceedings of the 1st EWG-DSS International Conference on Decision Support System Technology on Big Data Analytics for Decision Making, Belgrade, Serbia May 27th- 29th. Editors Boris Delibašić et al. M34
  3. Radovanovic, S., Vukicevic, M., Kovacevic, A., Stiglic, G., Obradovic, Z. (2015). Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. In Proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015 (pp. 96-100). Pavia, Italy: Springer International Publishing. M33
  4. Vukicevic, M., Radovanovic, S., Kovacevic, A., Delibasic, B., Suknovic, M. (2015). RM-EHR: RapidMiner Environment for Predictive Analytics on Electronic Health Records. In Proceedings of the 5th Rapid-Miner Community Meeting and Conference – RapidMiner Wisdom 2015 (pp.49-60). Ljubljana, Slovenia. Springer International Publishing. M33
  5. Radovanovic, S., Vukicevic, M., Kovacevic, A., Delibasic, B., Suknovic, M. (2015). Decision Support System for Hospital Readmission Prediction Based on Meta-Heuristic Feature Selection and Stacking. In Proceedings of the 6th Rapid-Miner Community Meeting and Conference – RapidMiner Wisdom 2015 (pp. 19-32). Ljubljana, Slovenia. Springer International Publishing. M33
  6. Dodevska, Z.A., Kovacevic, A., Vukicevic, M., Delibašić, B. (2020) Two Sides of Collective Decision Making – Votes from Crowd and Knowledge from Experts. In: Moreno-Jiménez J., Linden I., Dargam F., Jayawickrama U. (eds) Decision Support Systems X: Cognitive Decision Support Systems and Technologies. ICDSST 2020. Lecture Notes in Business Information Processing, vol 384. Springer, Cham, DOI https://doi.org/10.1007/978-3-030-46224-6_1 M33
  7. Kovačević, A., Vukićević, M., Jovanović, M. (2020) Fusion of Crowd and Expert Knowledge based on Feature Embeddings and Clustering in Crowd Voting setting, In Proceedings of the XIX International Symposium SymOrg, Zlatibor, Serbia, June 12-15, Serbia M33
  8. Kovačević, A., Vukićević, M., Radovanović, S., Delibašić, B. (2020). CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning Approach. In Proceedings of the 2nd Workshop on Modern Approaches in Data Engineering and Information System Design – MADEISD 2020 (pp. 131-144). August 25–27, 2020. Lyon, France. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-55814-7_11 M33
  9. Kovačević, A., Vukićević, M., Radovanović, S., Suknović, M., Delibašić, B. (2021), Fair and Accurate Logistic Regression with Multiobjective Metaheuristic Optimization, XLVIII International Symposium on Operational Research, Banja Koviljača, 20-23. September 2021 M33
  10. Mladenovic, N., Vukicevic, A., Stanojević, B. (2024). Hyper Parameters Tuning to Improve the Quality of the Pareto Front Generated by a Solution Approach to a MOO Problem, 51. International Symposium on Operational Research, Tara, 16-19. September 2024 M33