Difference between revisions of "People:Remi.Domingues"

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[[File:remi.jpeg||left|100px]] Rémi Domingues was intern with PEL for 3 months in 2013. He mainly worked on the CAR Demo, giving it some simulations capabilities. Rémi has achieved the research projects below:
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[[File:remi.jpeg||left|100px]] Rémi Domingues was intern with PEL for 3 months in 2013. He mainly worked on the [http://cardemo.ucd.ie CAR Demo], giving it some simulations capabilities. Rémi has achieved the research projects below:
 
* Research and development of clustering algorithms, applied to semantics analyses, in the context of events detection using social networks data.
 
* Research and development of clustering algorithms, applied to semantics analyses, in the context of events detection using social networks data.
 
* Development of ASTra, a Python API using the SUMO traffic simulation engine. This API provides a remote access to a traffic simulation at runtime using TCP/IP connections and high level calls. He published a paper at the [http://isuw2013.ucd.ie/ Irish SUMO Users Workshop 2013] on this topic.
 
* Development of ASTra, a Python API using the SUMO traffic simulation engine. This API provides a remote access to a traffic simulation at runtime using TCP/IP connections and high level calls. He published a paper at the [http://isuw2013.ucd.ie/ Irish SUMO Users Workshop 2013] on this topic.
 
The technologies he used are: Python, Java, SQL, SUMO, ESB, Web languages, Symfony, Knime
 
The technologies he used are: Python, Java, SQL, SUMO, ESB, Web languages, Symfony, Knime
 
You can find more info on his [http://www.linkedin.com/pub/rémi-domingues/3a/b35/9/en LinkedIn page].
 
You can find more info on his [http://www.linkedin.com/pub/rémi-domingues/3a/b35/9/en LinkedIn page].

Revision as of 18:25, 14 October 2013

Remi.jpeg

Rémi Domingues was intern with PEL for 3 months in 2013. He mainly worked on the CAR Demo, giving it some simulations capabilities. Rémi has achieved the research projects below:

  • Research and development of clustering algorithms, applied to semantics analyses, in the context of events detection using social networks data.
  • Development of ASTra, a Python API using the SUMO traffic simulation engine. This API provides a remote access to a traffic simulation at runtime using TCP/IP connections and high level calls. He published a paper at the Irish SUMO Users Workshop 2013 on this topic.

The technologies he used are: Python, Java, SQL, SUMO, ESB, Web languages, Symfony, Knime You can find more info on his LinkedIn page.