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en:bio [2020/07/20 14:43] – créée alhagejoen:bio [2023/10/13 15:59] (current) alhagejo
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 +====== Biography ======
  
-**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. 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]]\\ 
  
-In 2016/2017, she was an assistant lecturer and researcher at the University of Lille. From October 2017 to September 2019, she was a researcher at SIVALab laboratory, a joint laboratory between Renault/Heudiasyc/CNRS France. +**Joelle Al Hage** received the **engineer's degree** in electrical and electronic engineering and the **Master'degree** in ReliabilityIdentification and Diagnosis in **2013**\\
-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 +
  
-Her current research interests include the multi-sensor data fusion,  the integrity  of  localization  and  perception  methods  for  autonomous vehicle and the collaborative localization. ======+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.\\ 
 + 
 + 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 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. ======

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