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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