Resume

Education

Ph.D in Computer Science, École de technologie supérieure (ÉTS Montreal), 2021-2024 (expected)
M.S. in Computer Science (GPA 10.0/10.0), Universidade Federal de Pernambuco (UFPE), 2018-2020
B.S. in Computer Engineering (GPA 7.7/10.0), Universidade Federal de Pernambuco (UFPE), 2012-2017

Neurotech (Junior Data Engineer at Neurolake) - September 2020 - April 2021
- Work with Extract, Transform and Load - ingest/consumption in the data lake with SQL/PySpark.
- Create variables and data books to be used by all Neurolake squads.
- Supervisor: Petrônio L. Braga
Centro de Tecnologias Estratégicas do Nordeste (CETENE) (Deep Learning Researcher) - January 2018 - November 2019
- Developing Deep Learning models for embedded systems using Genetic Programming
- Supervisor: Professor Dr. Edna Barros
Motorola Brazil Research (BRRES) (Software Engineering) - June 2016 - February 2017
- Developed BRRES log-base simulation system to simulate 4G indoor networks using intern tools.
- Supervisor: Professor Dr. Kelvin Lopes Dias

Medeiros, H. R, Braga, P. H.., & Bassani, H. F. Deep Clustering Self-Organizing Maps with Relevance Learning (LatinX/ICML), 2020.
Braga, P. H., Medeiros, H. R., & Bassani, H. F. Deep Categorization with Self-Supervised Self-Organizing Maps (IJCNN), 2020.
Braga, P. H., Medeiros, H. R., & Bassani, H. F. Backpropagating the Unsupervised Error of Self-Organizing Maps to Deep Neural Networks. (LatinX/NeurIPS), 2019.
Bassani, H. F., Delgado, R. A., Junior, J. N. D. O. L., Medeiros, H. R., Braga, P. H., & Tapp, A. (2019). Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World. (LatinX/NeurIPS), 2019.
Medeiros, H. R., de Oliveira, F. D., Bassani, H. F., & Araujo, A. F. (2019). Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks. Computer Vision and Image Understanding, 179, 19-30. (CVIU), 2019.
de Oliveira Junior, L. A., Medeiros, H. R., Macêdo, D., Zanchettin, C., Oliveira, A. L., & Ludermir, T. (2018, July). SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. In 2018 International Joint Conference on Neural Networks (pp. 1-6). IEEE. (IJCNN), 2018.

RobôCIn - A research team that creates robots that play soccer autonomously. Recife, Pernambuco, BRA (November 2015 - 2020)
- Designed and developed the computer vision system of VSSS IEEE team.
- Awarded with fifth place in Latin American IEEE Soccer among 23 teams (2017).
Healthy Life System - Indoor System to measure quality of air Recife, Pernambuco, BRA (March 2016 - September 2016)
- Developed the mapping algorithm to measure CO, CO2, and dust sensor.
- Project under National Patent: BR102016024721-7
Handy System - Wearable system to assist the mobility impaired Recife, Pernambuco, BRA (March 2015 – December 2015)
- Developed the control system of the wearable system and each sensor embedded.
- Project finalist in the Intel Embedded Systems among 100 teams (2015).

Git, Unix/Bash, PyTorch, PyTorch Lightning, Keras, OpenCV, SQL, Arduino.

Top 9% (381st of 4373 teams) at Mechanisms of Action (MoA) (Kaggle/2020).
Top 6% (112th of 2172 teams) at H. P. A. Image Classification (Kaggle/2019).
Third place in SSL RoboCup Sydney/Australia (2019).
First place in Microsoft Bot-ando a mão na massa at CIn/UFPE (2019).
Third place from Brazil at Google Hash Code (2019).