doc. dr Milana Grbić

dr Milana Grbić
docent

Uža naučna oblast: Informacione nauke i bioinformatika (razvoj softvera)
Katedra: Katedra za računarske i informatičke nauke

Kontakt: milana.grbic@pmf.unibl.org

Kabinet: 29

Obrazovanje & Radni odnos

Obrazovanje:

  • doktor nauka – računarske nauke, Matematički fakultet, Univerzitet u Beogradu, 2020. godine
  • master matematičar – Matematički fakultet, Univerzitet u Beogradu, 2016. godine
  • diplomirani matematičar i informatičar – Prirodno-matematički fakultet, Univerzitet u Banjoj Luci, 2012. godine

Radni odnos i zvanja:

Od 2013. godine zaposlena na Prirodno-matematičkom fakultetu, Univerziteta u Banjoj Luci u zvanjima:

  • 2020.  –  docent
  • 2017. – 2020. viši asistent
  • 2013. – 2017. asistent
Nastava
  • Osnove programiranja 1/Uvod u programiranje
  • Objektno orijentisano programiranje/Osnove računarskih sistema 1
  • Uvod u istraživanje podataka
  • Osnove računarskih sistema 2
  • Konstrukcija kompilatora
  • Bioinformatika
  • Primjena multimedija u obrazovanju
  • Stručna praksa

Materijali za predmete su dostupni kroz Gugl učionice.

Konsultacije po dogovoru sa studentima, pri čemu je potrebno javiti se na mejl 72 sata ranije.

Nauka
Radovi u časopisima sa Web of Science, Scopus, SCIndex (M24 ili M51), CPCI-S/CPCI-SSH lista:
  • Zec, T., & Grbić, M. (2023). Several Roman domination graph invariants on Kneser graphs. Discrete Mathematics & Theoretical Computer Science, 25(Graph Theory). (IF : 0.7)
  • Djukanović, M., Kartelj, A., Matić, D., Grbić, M., Blum, C., & Raidl, G. R. (2022). Graph search and variable neighborhood search for finding constrained longest common subsequences in artificial and real gene sequences. Applied Soft Computing, 122, 108844, (IF : 6.725)
  • Kartelj, A., Grbić, M., Matić, D., & Filipović, V. (2021). The Roman domination number of some special classes of graphs-convex polytopes. Applicable Analysis and Discrete Mathematics, 15(2), 393-412, (IF : 1.238)
  • Nikolic, B., Kartelj, A., Djukanovic, M., Grbic, M., Blum, C., & Raidl, G. (2021). Solving the Longest Common Subsequence Problem Concerning Non-Uniform Distributions of Letters in Input Strings. Mathematics, 9(13), 1515, (IF : 2.258)
  • Grbić, M., Matić, D., Kartelj, A., Vračević, S. and Filipović, V., (2020) A three-phase method for identifying functionally related protein groups in weighted PPI networks. Computational Biology and Chemistry, p.107246 (IF : 3.1)
  • Grbić, M., Kartelj, A., Janković, S., Matić, D., Filipović, V.(2020) Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k -plexes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI 10.1109/TCBB.2019.2898189. (IF: 4.5)
  • Grbić, M., Crnogorac, V., Predojević, M., Kartelj, A., & Matić, D. (2022). Supportness of the protein complex standards in PPI networks. Journal of Information and Telecommunication, 6(1), 6-26 (Q2: Computer Science (miscellaneous), Q3: Computer Science Application);

Radovi u nacionalnim časopisima prve kategorije:

  • Predojević, M., Đukanović, M., Grbić, M., & Matić, D. (2021). Can greedy-like heuristics be useful for solving the Weighted Orthogonal Art Gallery Problem under regular grid discretization?. International Journal of Electrical Engineering and Computing, 5(2), 77-85.
  • Grbić, M. (2019) Conditional Random Fields-based Aproach to Classification: Application to Life Sciences, IPSI BgD Transactions on Internet Research (TIR), Special issue – „ICT Research at the University of Belgrade and at its Foreign Guests“, Vol. 15, No. 1, pp. 1-9, 2019, ISSN 1820 – 4511.
  • Grbić, M. (2019) A three-phase mapreduce-based algorithm for searching biomedical document databases, International Journal of Electrical Engineering and Computing, Vol 3, No.1, pp.1-8, 2019

Radovi u nacionalnim časopisima (druga i treća kategorija), zbornicima i monografijama:

  •  Jaguzović, M., Vilendečić, N., Grbić, M., & Matić, D. (2023). On similarity of PPI subnetworks induced by important proteins: A case study. In 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE.
  • Jaguzović, M., Grbić, M., Ðukanović, M., & Matić, D. (2022). Identification of protein complexes by overlapping community detection algorithms: A comparative study. In 2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE.
  • Zec, T., Kartelj, A., Djukanović, M., Grbić, M., & Matić, D. (2021). Statistical analysis of correlation between weather parameters and new COVID-19 cases: a case study of Bosnia and Herzegovina. In 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.
  •  Crnogorac, V., Grbić, M., Đukanović, M., & Matić, D. (2021). Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020. In 2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE.
  • Grbić, M., Crnogorac, V., Predojević, M., Kartelj, A., & Matić, D. (2020). How well are known protein complexes supported in PPI networks?. In 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-7). IEEE.
  • D. Matić and M. Grbić, (2020) Partitioning Weighted Metabolic Networks into Maximally Balanced Connected Partitions, 19th International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, 2020, pp. 1-6.
Međunarodne konferencije
  • Grbić M., “Analysis of classification algorithms applied to some prokaryotic organisms’’ (poster), Biocuration Conference, Ženeva, Švajcarska, 2016.
  • Grbić, M., Kartelj A., Matić D., Filipović V., ‘’Partitioning biological networks in k-plex subnetworks with maximum edge weights“ (poster), 3rd Symposium on Non-Globular Proteins, Košice, Slovačka, 2017.
  • Grbić, M., Kartelj A., Matić D., Filipović V., „A local search based heuristic for clustering large biological networks into highly connected components“ (poster), First Congress of Molecular Biologists of Serbia, Beograd, Srbija, 2017.
  • Grbić, M., Janković, S., Matić, D., Pavlović-Lažetić, G., „Conditional Random Fields based approach for classification of the reactants in some metabolic reactions“ (poster), Belgrade Bioinformatics Conference, Beograd, Srbija, 2018.
  • Matić D., Grbić M., Kartelj A., Janković, S., Filipović, V., „On clustering large biological networks into dense components“ (poster), US-Serbia & West Balkan Data Science Workshop, Beograd, Srbija, 2018.
  • Grbić, M., Kartelj, A., Matić, D., Janković, S., Filipović, V., „A heuristic approach for clustering metabolic networks into highly connected components“ (poster), 4th Symposium on non globular proteins, Druskininkai, Litvanija, 2018.
  • Grbić, M., B. Gemović, R. Davidović, A. Kartelj, D. Matić: „Prediction of GO terms for IDPs based on highly connected components in PPI networks“, Belgrade BioInformatics Conference 2021 (BELBI), virtuelna konferencija (poster)
  • Grbić, M., Matić D.: „On application of computational methods in network-based biological research“ (poster), 80, 70, 20 Conference: Towards Excellence and Convergence Research in Theoretical Biology, Venecija, Italija, 2023.
  • Matić D., Grbić M : „AI methods for biological networks and sequences“, 80, 70, 20 Conference: Towards Excellence and Convergence Research in Theoretical Biology, Venecija, Italija, 2023.
  • Grbić, M., Matić D.: „Local network properties of IDPs in PPIs network: Case study“ (poster), 1st ML4NGP Meeting on Machine Learning and Non-Globular Proteins, Bratislava, Slovačka, 2023.
  • Grbić M., “Analysis of biological networks: Math, Computer Science, & Biology” (poster), ACM WomENcourage 2023, Trondhajm, Norveška, 2023.
  • Grbić M., Vilendečić, N., Predojević, M., Matić, D. “Collective Classification Algorithms in Identifying Intrinsically Disordered Proteins within Protein-Protein Interaction Networks” (poster & flash talk), 2nd MEETING on MACHINE LEARNING AND NON-GLOBULAR PROTEINS, Solun, Grčka, 2024.
  • Grbić M.,  Predojević, M., Vilendečić, N., Matić, D. “Exploration of Intrinsic Disorder Regions through Classification of Intrinsically Disordered Proteins Using PPI Network Structure and Sequence Attributes: A Case Study” (poster & flash talk), Belgrade Bioinformatics Conference – BelBi, Beograd, Srbija, 2024.
Projekti

Međunarodni projekti:

  • COST ACTION: CA21160 – Non-globular proteins in the era of Machine Learning (ML4NGP) – (2022-2026) MC member for Bosnia and Herzegovina & co-lead WG3;
  • COST ACTION: CA21169 – Information, Coding, and Biological Function: the Dynamics of Life (DYNALIFE) – (2022-2026) MC member for Bosnia and Herzegovina & member of WG1, WG2, WG3;
  • COST ACTION: CA19122 – European Network For Gender Balance in Informatics (EUGAIN) – (2020-2024) MC member for Bosnia and Herzegovina & member of WG1;
  • COST ACTION: CA19135 – Connecting Education and Research Communities for an Innovative Resource Aware Society (CERCIRAS) – (2020-2024) member of WG4;
  • COST ACTION: BM1405 – Non-globular proteins – from sequence to structure, function and application in molecular physiopathology (NGP-NET) – (2016-2019) MC substitute member for Bosnia and Herzegovina;

Nacionalni projekti:

Koordinator:
  • Analiza bioloških mreža metodama mašinskog učenja (2024-2025); Finansijer: Ministarstvo za naučnotehnološki razvoj i visoko obarzovanje Vlade Republike Srpske
  • Podrška realizaciji COST akcije CA21160 Non-globular proteins in the era of Machine Learning u Bosni i Hercegovini (ML4NGPB&H) (2024); Finansijer: Ministarstvo civilnih poslova BiH
  • Realizacija COST ACTION: CA21160 – Non-globular proteins in the era of Machine Learning (2023); Finansijer: Ministarstvo za naučnotehnološki razvoj i visoko obarzovanje Vlade Republike Srpske
  • Unapređenje Alumni pametne internet aplikacije za potrebe povezivanja bivših, trenutnih i budućih studenata matematike i informatike Prirodno-matematičkog fakulteta Univerziteta u Banjoj Luci (2020); Finansijer: Ministarstvo za naučnotehnološki razvoj, visoko obrazovanje i informaciono društvo
  • Izrada Alumni pametne internet i mobilne aplikacije za potrebe povezivanja bivših, trenutnih i budućih studenata matematike i informatike Prirodno-matematičkog fakulteta Univerziteta u Banjoj Luci (2019-2020); Finansijer: Ministarstvo za naučnotehnološki razvoj, visoko obrazovanje i informaciono društvo
Član projektnog tima:
  •  Topološke i kombinatorne osobine nekih važnih kompleksa (2019-2023)
  • Razvoj i primjena metoda kombinatorne optimizacije i metoda mašinskog učenja u bioinformatici  (2019-2020)
  • Sufinansiranje pripremnih aktivnosti za izradu projektnog prijedloga – COST akcija (2020-2021)
  • Konfiguracioni prostori u diskretnoj geometriji (2020-2021)
  • Razvoj metoda vještačke inteligencije za rješavanje problema računarske biologije (2020-2022)
  • Teorijski i algoritamski aspekti za rješavanje problema rimske dominacije (2023-2024)
  • Realizacija COST akcije Information, Coding, and Biological Function: The Dynamics of Life (2023-2024)
  • Razvoj modela i algoritama vještačke inteligencije za rješavanje teških problema kombinatorne optimizacije (2024-2025)
  • Podrška za učešće istraživačkog tima Bosne i Hercegovine u COST akciji CA21169: Information, Coding, and Biological Function: the Dynamics of Life (2024)
Zimske i ljetnje škole & studijski boravci & Erasmus +
  • NGP-net Winter School on Experimental Methods for Protein Disorder & Aggregation, Marsej, Francuska, februar 2017.
  • NGP-NET Winter School on computational methods for non-globular proteins, Nikozija, Kipar, januar 2018.
  • Studijski boravak u Laboratoriji za bioinformatiku i računarsku hemiju, Institut za nuklearne nauke Vinča, Univerzitet u Beogradu. Tema posjete „Prediktor za funkcionalnu anaotaciju unutrašnje neuređenih proteina“, februar 2019. STSM podržan kroz COST akciju BM1405.
  • ICGEB Course „Bioinformatics: Computer Methods in Molecular and Systems Biology“, Trst, Italija, jun 2019.
  • Staff Mobility for Training at Carinthia University of Applied Sciences, Villach, Austrija, decembar, 2019.
  • Staff Training Week, University of Granada, Španija, 16.-20. maj 2022.
  • EUGAIN Workshops, Hamburg, Njemačka, oktobar 2022.
  • 1ST ML4NGP TRAINING SCHOOL, Protein aggregation, intrinsic disorder and phase separation in the era of machine learning, Porto, Portugal, april 2023.
  • Staff Mobility for Teaching at Carinthia University of Applied Sciences, Villach, Austrija, april, 2023.
  • 2nd International EUGAIN Summer Training School: Research Recharge, Rim, Italija, jun 2023.
  • Final EUGAIN conference and MC meeting, Lisabon, Portugal, april 2024.
Objavljeni udžbenici
  • Bojan Nikolić, Boris Petković, Marko Đukanović, Milana Grbić i Tatjana Zec, Zbirka urađenih zadataka sa prijemnih ispita iz matematike, Prirodno-matematički fakultet, Univerzitet u Banjoj Luci, 2016.
  • Milana Grbić, Dragan Matić, Uvod u objektno orijentisano programiranje kroz programski jezik Java, Prirodno-matematički fakultet, Univerzitet u Banjoj Luci, 2023.
Ostalo

Nagrade:

  • 2021. Matematički institut SANU (Srpska akademija nauka i umetnosti) Beograd za najbolji doktorat u oblasti računarstva koji je odbranjen 2020. godine.

Recenzije:

  • Recenzent radova kandidata za časopis Journal of Big Data, 2022.
  • Recenzent radova kandidata za časopis Engineering Applications of Artificial Intelligence, 2023.
  • Recenzent radova kandidata za časopis „Mat-Kol“
  • Recezent radova za međunarodni simpozijum INFOTEH-JAHORINA 2024.

Članstva u organizacijama:

  • ISB International Society for Biocuration (od 2016. godine)
  • Srpsko društvo za bioinformatiku i računarsku biologiju (od 2018. godine)

Obuke:

  • COST Academy Leadership workshop, 8. septembar 2022., Brisel, Belgija

Linkovi: