Difference between revisions of "User:EwertonLopes"
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| + | Hi. I'm a PhD student from Politecnico di Milano (POLIMI). I have a Master of Science degree in informatics from [http://www.ufpb.br Universidade Federal da Paraíba], in Brazil (2015). I got my major degree (licentiate) in Computer Science from the same university in 2013. Currently at POLIMI, I have the support from the [http://www.cnpq.br Brazilian National Council for Scientific and Technological Development (CNPq)]. | ||
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| + | == Research Interests == | ||
| + | My main research interests are: | ||
| + | *Artificial Intelligence and bio-inspired computational models; | ||
| + | *Probabilistic reasoning and Machine Learning (specially classification models); | ||
| + | *Intelligent autonomous agents; | ||
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| + | |||
| + | == PhD Research == | ||
| + | My PhD research project proposes to investigate how to develop complex strategy-based abilities in autonomous robots for the purpose of designing better Physically Interactive Robogames (PIRG) by the use of machine learning (ML) techniques. Specifically, I tackled the development of an ability of intention detection for strategy adjustment with the aim of keeping (or raising) the human player engagement. | ||
Revision as of 16:39, 25 August 2015
Ewerton Lopes
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| E-Mail: | ewerton.lopes@polimi.it |
| Advisor: | |
| Research Areas: |
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| Project page(s): | |
| Status: | active |
Hi. I'm a PhD student from Politecnico di Milano (POLIMI). I have a Master of Science degree in informatics from Universidade Federal da Paraíba, in Brazil (2015). I got my major degree (licentiate) in Computer Science from the same university in 2013. Currently at POLIMI, I have the support from the Brazilian National Council for Scientific and Technological Development (CNPq).
Contents
Research Interests
My main research interests are:
- Artificial Intelligence and bio-inspired computational models;
- Probabilistic reasoning and Machine Learning (specially classification models);
- Intelligent autonomous agents;
PhD Research
My PhD research project proposes to investigate how to develop complex strategy-based abilities in autonomous robots for the purpose of designing better Physically Interactive Robogames (PIRG) by the use of machine learning (ML) techniques. Specifically, I tackled the development of an ability of intention detection for strategy adjustment with the aim of keeping (or raising) the human player engagement.
