Goran Rakočević, PhD

Academic title: Assistant professor

Born: 30/5/1983

Employed from: 1/10/2019

Email: grakocevic@raf.rs

Academic career

  • Elected to the title – 2019, School of Computing, Belgrade
  • PhD – 2015, School of Electrical Engineering, Belgrade
  • BSc – 2007, School of Electrical Engineering, Computer Engineering and Informatics
  • During his doctoral studies, he was a collaborator on several international projects within the Seventh Framework Program of the European Union: FP7-ProSense, FP7-ArtReat, FP7-Balcon.
  • He worked as a research associate at the Mathematical Institute of the Serbian Academy of Sciences and Arts, within the project “III 44006: Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education,” 2011–2013.
  • Since 2013, he has worked at Seven Bridges Genomics Inc., first as a bioinformatician (until 2016), and then as an engineer within the development and research department.
  • Since 2017, he has been carrying out research in the field of computational immunology and the application of machine learning to medicinal chemistry within the Totient company.

 

Scientific and professional production

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