Page 138 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4



          [31] Yanming Guo, Yu Liu, Theodoros Georgiou, and                          Isabela Trindade received a
               Michael S. Lew. “A review of semantic segmen‑                         B.E. degree in electrical engi‑
               tation using deep neural networks”. In: Interna‑                      neering from Universidade Fed‑
               tional Journal of Multimedia Information Retrieval                    eral do Pará, Brazil, in 2019.
               7 (2018), pp. 87–93. ISSN: 1536‑1276. DOI: https:                     She is currently pursuing a M.Sc.
               //doi.org/10.1007/s13735-017-0141-z.                                  degree in electrical engineering
                                                                                     with the Telecommunications,
          [32] MIT Computer Vision team. ADE20K dataset. URL:                        Automation and Electronics R &
               http : / / groups . csail . mit . edu / vision /
                                                               D  Center  (LASSE/UFPA),  under  the  supervision  of  Prof.
               datasets/ADE20K/. (accessed: 04.07.2021).
                                                               Aldebaro Klautau.  Her research interests include MIMO
          [33] Wireless InSite Reference Manual. Version Version  communications, channel modeling with ray tracing sim‑
               3.3.0. Remcom Inc.                              ulations and machine learning.
          [34] Volodymyr Mnih, Koray Kavukcuoglu, David Sil‑                        Walter  Frazão  is  a  B.Sc.  can‑
               ver, Alex Graves, Ioannis Antonoglou, Daan Wier‑                     didate  at  Universidade  Federal
               stra, and Martin Riedmiller. “Playing atari with                     Para ́ ,  Brazil,  Brazil.   He  has
               deep reinforcement learning”. In: arXiv preprint                     been  a  research  student  at  the
               arXiv:1312.5602 (2013).                                              LASSE/UFPA  since  2019  and  a
                                                                                    CNPq researcher at the Amazon
                                                                                    Center for Excellence in Energy
                                                                                      iciency  (Ceamazon).  He  re‑
          AUTHORS                                              ceived an award in 2020 from the Brazilian Telecommuni‑
                                                               cations Society (SBrT) for an article on machine learning
                               Ailton Oliveira is a B.Sc can‑  applied to beam selection.  His current research interests
                               didate in electrical engineering  include 5G, MIMO communications and machine learning.
                               at Universidade Federal Pará,
                               Brazil. He is currently a research                   Arthur Nascimento started his
                               student at the Telecommunica‑                        degree in biomedical engineer‑
                               tions, Automation and Electron‑                      ing in 2018 at the Universidade
                               ics R & D Center (LASSE/UFPA).                       Federal do Pará. He is currently
                               His achievements were recog‑                         an undergraduate student re‑
                               nized with the outstanding un‑                       searcher at LASSE/UFPA. He re‑
                               dergraduate researcher award                         ceived an award for an article
                               from LASSE/UFPA, and had an                          in telecommunications in 2020
          awarded article in 2020, by Brazilian Telecommunica‑  and also worked on the regional organization of the 2020
          tions Society (SBrT), with a research focused on machine  ITU AI/ML in 5G Challenge. His current research interests
          learning applied to beam‑selection. His current research  include machine learning, arti icial inteligence, computer
          interests include digital communications, 5G/B5G net‑  vision and bioinformatics.
          works, MIMO systems, data science and machine learning.
                                                                                    Diego de Azevedo Gomes
                               Felipe  Bastos  received  a                          received M.Sc.  and Ph.D. de‑
                               technical degree in telecommu‑                       grees in electrical engineering
                               nications from Instituto Federal                     (telecommunications)   from
                               do Pará (2015), Computer Engi‑                      Universidade Federal do Pará,
                               neer from Universidade Federal                       Brazil, in 2012 and 2017, re‑
                               do Pará (2020) He also partic‑                      spectively.  He is currently a
                               ipated in an inter‑university                        professor at Institute of Geo‑
                               exchange at E cole Supérieure  sciences and Engineering, Universidade Federal do Sul e
                               d’Informatique,  E lectronique,  Sudeste do Para (Unifesspa). He had two awarded arti‑
                               Automatique (ESIEA) through     cles in the year 2020, both regarding machine learning
          the BRAFITEC program, where he was an intern at the  applied to beam selection. His current research interests
          European Nuclear Research Center (CERN). Currently,  include MIMO communications, digital signal processing,
          he is with the Telecommunications, Automation and    and machine learning.
          Electronics R & D Center (LASSE/UFPA) and pursues
          a Master of Science degree in electrical engineering at
          Universidade Federal do Pará (UFPA). He is interested in
          embedded systems, Internet of things, 5G networks, and
          telecommunication systems.






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