Matheus Ribeiro Furtado de Mendonça

Position Held
University graduate / Profession
Ph.D Student
+55 32 98862-5597

Matheus R. F. Mendonça is currently a Phd candidate in Computational Modeling at the National Laboratory for Scientific Computing (LNCC), located in the city of Petrópolis, RJ, Brazil. In 2013, he received a B.Sc. degree in Exact Sciences, followed by a B.Sc. degree in Computer Science in 2014 and a M.Sc. degree in Computer Science in 2016, all obtained at the Federal University of Juiz de Fora (UFJF), located in the city of Juiz de Fora, MG, Brazil. His research is focused mainly in the application of Machine Learning methods for solving problems from the Network Science research area. The main focus of my current research are: Reinforcement Learning, Supervised Learning (Neural Networks and Deep Learning models) and Network Centrality analysis.

Areas of Interest

My main interests are Network Science and Machine Learning, with a focus on Reinforcement Learning (RL) and Artificial Neural Networks (ANN). More specifically, in RL, I am interested in (i) applying RL to real world problems, (ii) studying and developing methods for identifying macro-actions in RL, and (iii) developing RL architectures that work well with deep neural networks (deep learning). I am also interested in using supervised learning for graph analysis, such as node embedding and predicting node features in large complex networks.

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