Difference between revisions of "User:EwertonLopes"

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== PhD Research ==
 
== PhD Research ==
My [http://airwiki.ws.dei.polimi.it/index.php/Robogame_Strategy 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.
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My [http://airwiki.ws.dei.polimi.it/index.php/Robogame_Strategy| 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 16:26, 25 August 2015

Ewerton Lopes
Foto di EwertonLopes


E-Mail: ewerton.lopes@polimi.it
Advisor:
Research Areas:


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).

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;
  • Robogames


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.