Goran Rakočević je rođen 30.05.1983. u Beogradu, gde je završio osnovnu školu i Četvrtu gimnaziju. Diplomirao je na Elektrotehničkom fakultetu Univerziteta u Beogradu, odsek za računarsku tehniku i infromatiku 2007. godine. Na istom fakultetu je i doktorirao 2015. godine, sa disertacijom ”Mašinsko učenje u bežičnim senzorskim mrežama”. U toku doktorskih studija bio je saradnik na više međunarodnih projekata u sklopu Sedmog okvirnog programa Evropske Unije: FP7-ProSense, FP7-ArtReat, FP7-Balcon. Od 2011. do 2013. godine radio je kao istraživač saradnik na Matematičkom institutu Srpske akademije nauka i umetnosti, u okviru projekta ”III 44006: Razvoj novih informaciono-komunikacionih tehnologija, korišćenjem naprednih matematičkih metoda, sa primenama u medicini, telekomunikacijama, energetici, zaštiti nacionalne baštine i obrazovanju.” Od 2013. godine je radio u firmi Seven Bridges Genomics Inc., prvo kao bioinformatičar (do 2016. godine), a potom kao inženjer u okviru odeljenja za razvoj i istraživanja. Od 2017. rukovodi istraživanjima u oblasti komputacione imunologije i primenom mašinskog učenja u medicinskoj hemiji u okviru kompanije Totient. Od 2019. godine radi u zvanju docenta na Računarskom fakultetu.
dr Goran M. Rakočević
Naučno-stručna produkcija
1.Rakocevic, G., Semenyuk, V., Lee, W. et al. Fast and accurate genomic analyses using genome graphs. Nature Genetics 51, 354–362 (2019) doi:10.1038/s41588-018-0316-4
2. Berke Ç Toptaş, Goran Rakocevic, Péter Kómár, Deniz Kural, Comparing complex variants in family trios, Bioinformatics, Volume 34, Issue 24, 15 December 2018, Pages 4241–4247, ISSN 1367-4803 https://doi.org/10.1093/bioinformatics/bty443
3. Marjanovic, Irena, et al. Parallel targeted next generation sequencing of childhood and adult acute myeloid leukemia patients reveals uniform genomic profile of the disease.“ Tumor Biology 37.10 (2016): 13391-13401.
4. Todorovic Balint, Milena, et al. Gene mutation profiles in primary diffuse large B cell lymphoma of central nervous system: next generation sequencing analyses; International journal of molecular sciences 17.5 (2016): 683.
5. Sustran, Zivojin, Goran Rakocevic, and Veljko Milutinovic. „Dual Data Cache Systems: Architecture and Analysis.“ Advances in Computers 96 (2015): 187-233.
6. Rakocevic, Goran, Zilbert Tafa, and Veljko Milutinovic. „A novel approach to data mining in wireless sensor networks.“ AHSWN 22.1-2 (2014): 21-40.
7. Flynn, M., Mencer O., Milutinovic, V., Rakocevic, G., Stenstrom, P., Trobec, R., Valero, M.: Moving from Petaflops to Petadata, – Communications of the ACM, vol. 56 br. 5, pp. 39-42, 2013
8. Vujičić-Stanković, S., et al. „A Classification of Data Mining Algorithms for Wireless Sensor Networks, and Classification Extension to Concept Modeling in System of Wireless Sensor Networks Based on Natural Language Processing.“ Advances in Computers 90 (2013): 223-283.
9. Rakocevic Goran, Sustran Zivojin, and Milutinovic Veljko. „Modifications to STS cache.“ Control Applications (CCA), 2012 IEEE International Conference on. IEEE, Athens, Greece, 2012.
10. Zilbert Tafa, Goran Rakocevic, Mihailovic Djordje, and Veljko Milutinovic. „Effects of Interdisciplinary Education on Technology-Driven Application Design.“ IEEE Transactions on Education, (2011) vol. 54 br. 3, pp. 462-4701. Rakocevic, G., Semenyuk, V., Lee, W. et al. Fast and accurate genomic analyses using genome graphs. Nature Genetics 51, 354–362 (2019) doi:10.1038/s41588-018-0316-4
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