Felipe Bastos
About me
Computer engineering student, more than four years of R&D experience in embedded systems and telecommunications.
Here you can download my CV in Portuguese, English or French.
Experience
R&D Intern
LASSE - Telecommunications, Automation and Electronics Research and Development Center
Dec 2019 - Present Belém, Brazil
R&D Trainee Engineer
Alstom
Jun 2019 - Aug 2019 St-Ouen, France
- Development of an IoT network to collect data from railway systems. Mainly using 4G and MQTT
- Development of a time series database and interfaces for the analysis of time data
Research Assistant
LASSE - Telecommunications, Automation and Electronics Research and Development Center
Feb 2016 - Aug 2018 Belém, Brazil
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Designed and managed the project of an open source real time bus tracker
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Researched learning theories applied to engineering
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Worked in the development of IoT solutions for office automation
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Worked with ray-tracing simulators for mmWave and MIMO solutions in mobile scenarios
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Instructor in a mobile programming course
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Gave lectures about face recognition, IoT, GSM, embedded programming, etc.
Education
Federal University of Pará
BASc in Computer Engineering
2015 - 2020
ESIEA École Supérieure d’Informatique, Électronique, Automatique
MEng in Computer Engineering
2018 - 2019
Federal Institute of Educations, Science and Technologie of Pará
HND in Telecommunications
2012 - 2015
Publications
OPEN-BIKE: OPEN-SOURCE SYSTEM AND OPEN-HARDWARE FOR BICYCLE SHARING
Nov 6, 2018 - I CONGRESSO DE TECNOLOGIAS E DESENVOLVIMENTO NA AMAZÔNIA
Simulation Environment with ray-tracing for mmWave MIMO Applied to UAVs
Sep 24, 2018 - Brazilian Symposium on Telecommunications and Signal Processing (SBrT)
Some applications and use cases of unmanned aerial vehicle (UAV or drones) in 5G require communication channels with large capacities to transmit, for example, high-resolution videos in real-time. In this case, millimeter waves (mmWaves) are important given the large bandwidth and, consequently, potential to deliver very high bit rates especially when used together with multiple antenna MIMO systems. In order to enable UAVs communicating via mmWaves MIMO, it is important to have good channel models and radio propagation data to guide the system design. This paper presents a simulation environment that combines simulators of traffic, flight and ray tracing, to generate large amounts of propagation data between terrestrial transmitters and aerial vehicles in 5G networks. Preliminary results show that the proposed environment is flexible and allow for several specific investigations.