My research interest is mainly related to data mining in complex data (which are voluminous, varied and rapidly generating). I am interested in prediction tasks especially early prediction and detection of events within complex sequences. One of my research contributions is to propose new supervised (classification) and non-supervised (patterns and rules mining) algorithms. I am also interested in stream mining techniques for emergent events detection using large-scale data processing models.
In 2016, I received my PhD thesis in Computer Science from Lorraine University (France), entitled “Prediction and influence of the occurrence of events in a complex sequence”, in LORIA
Laboratory (Lorrain Laboratory in computer science, researches and applications) within KIWI
research team (Knowledge, Information and Web Intelligence). I was a Full Temporary Lecturer and Research Assistant (ATER) at Lorraine University for the school year 2015-2016.
In 2012, I received my research Master degree in Computer Science, speciality “Software and Knowledge Engineering” from Strasbourg University (France).