Raul Sena Ferreira
raul.ferreira at conti-engineering.com>
About me
I'm a computer scientist with 9 years of experience in academia and industry. Currently, I work as Artificial Intelligence Engineer at Continental Engineering Services. I obtained my PhD at LAAS/CNRS, in Toulouse France, which I worked for the European project ETN-SAS in the intersection of three domains: computer vision, safe AI, and autonomous vehicles. Before it, I obtained a master’s degree in Systems Engineering and Computing at Universidade Federal do Rio de Janeiro (2018), working with machine learning (ML) applied to dynamic environments. I also have a Bachelor's degree in Computer Science at Universidade Federal Rural do Rio de Janeiro (2014).
Research
- Safe AI for Autonomous Vehicles: (more details)
- Machine Learning in Dynamic Environments: (more details)
- Applied Computing for Social Good: (more details)
- GPU and parallel processing: (more details)
A list of my publications is available at Google Scholar or Research gate.
Awards
- Marie Sklodowska-Curie Actions (MSCA) PhD Scholarship - European Union's Commission, 2019.
- Best Conference Paper Award - Escola Regional de Sistemas de Informação (UFRJ), 2017.
- First place in open call for Lecturer in Computer Science - Federal Rural University of Rio de Janeiro (UFRRJ), 2017.
- First place in open call for researcher II - Research Institute of Economic and Applied (IPEA), 2016.
- First place in open call for researcher assistant II - Research Institute of Economic and Applied (IPEA), 2015.
- Winner of the 1º Big Data Challenge - Big Data Reference Centre, PPGI/UFRJ and EMC², 2014.
- Selected for II Hackathon of Educational Data - INEP, Brasília, 2014.
- Honor mention in XIX ACM Programming Marathon - ACM/ICPC, 2014.
Experience
PROFESSIONAL
Here you can find my Resumee (English) or my Curriculum Lattes (Portuguese)
TEACHING
- C/C++ programming at IUT/University of Paul Sabatier (Electrical Engineering department, 2019)
- Machine learning at Infnet institute (MBA in Big Data, 2018)
- Information Retrieval at Infnet institute (MBA in Big Data, 2018)
- Scientific Programming at Infnet institute (MBA in Big Data, 2017)
- Computer Architecture at UFRRJ (Computer science department, 2017)
- Data Structure II at UFRRJ (Computer science department, 2017)
- Operating Systems at UFRRJ (Computer science department, 2017)
- Parallelism at UFRRJ (Computer science department, 2017)
- Computer Architecture II at UFRRJ (Computer science department, 2017)
SUPERVISED STUDENTS
(2020) BSc.: Samara Almendane and Andressa Oliveira. Image classification applied to missing people problem. (co-supervised with Dr. Leandro Alvim)(2019) BSc.: Bruno Accioli. Seleção dinâmica de instâncias em dados não estacionários em cenários de latência de verificação extrema. (co-supervised with Dr. Luciana Faletti)
(2018) BSc.: Renan Procopio. Handshake: classificador para streams de dados em ambientes não estacionários com latência extrema de verificação. (co-supervised with Dr. Leandro Alvim)