I’m a Ph.D. student at the École de Technologie Supérieure under the supervision of professor Georges Kaddoum. I come from Recife, Brazil, where I got my B.Sc. and M.Sc. degrees, both in electrical engineering.
My main research interest is the radio resource management (RRM) for future wireless networks. I’m currently investigating resource management algorithms for non-orthogonal multiple access (NOMA). I’m also looking into the development of a RRM framework based on reinforcement learning. Furthermore, I’m interested in:
- The modeling of massive wireless networks using stochastic geometry.
- Random access procedure in massively connected IoT networks.
- Machine learning applications in wireless networks.
- Deep learning.
- Programming in general.
Past Research Experience
I did some undergraduate research under the supervision of professors Daniel Chaves and Cecilio Pimentel. As an undergrad I designed a random sequence generator chaotic circuit based on the hyperbolic tangent chaotic map (see this) and assisted a Ph.D. student in coming up with signal processing methods to quantize and break the correlation of the output sequence (see this for more details). During my masters I designed a physical layer authentication scheme based on the transmission of low power superimposed chaotic signatures.