UMR CNRS 7253

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en:bio [2020/07/20 14:54] alhagejoen:bio [2023/02/23 15:24] alhagejo
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-**Joelle Al Hage** received the **engineer degree** in electrical and electronic engineering and the **Master degree** in Reliability, Identification and Diagnosis from the Lebanese university in **2013**. \\+**Joelle Al Hage** received the **engineer degree** in electrical and electronic engineering and the **Master degree** in Reliability, Identification and Diagnosis in **2013**. \\
  
-She received the **Ph.D. degree** in automatic and computer science from university of Lille (CRIStAL laboratory), France in **2016**. [[https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/bf9a8698-e795-43d2-8623-3934068a6ca1|PhD document]]\\+She received the **Ph.D. degree** in automatic and computer science from university of Lille (CRIStAL laboratory), France in **2016**. [[https://pepite-depot.univ-lille.fr/LIBRE/EDSPI/2016/50376-2016-Al-Hage_10.pdf|PhD document]]\\
  
 In 2016/2017, she was an assistant lecturer and researcher at the University of Lille.\\ In 2016/2017, she was an assistant lecturer and researcher at the University of Lille.\\
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  From October 2017 to September 2019, she was a researcher at SIVALab laboratory, a joint laboratory between Renault/Heudiasyc/CNRS France.\\  From October 2017 to September 2019, she was a researcher at SIVALab laboratory, a joint laboratory between Renault/Heudiasyc/CNRS France.\\
  
-Since September 2019 she'an Associate Professor at the University of Technology of Compiègne (Heudiasyc laboratory), France. She is also member of the SIVALab laboratory. \\+Since September 2019 she has been an Associate Professor at the University of Technology of Compiègne (Heudiasyc laboratory), France. She is also member of the SIVALab laboratory. \\
  
 Her current **research interests** include the multi-sensor data fusion,  the integrity  of  localization  and  perception  methods  for  autonomous vehicle and the collaborative localization. ====== Her current **research interests** include the multi-sensor data fusion,  the integrity  of  localization  and  perception  methods  for  autonomous vehicle and the collaborative localization. ======

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