À propos de moi
I am a Professor of Computer Science at the University of Sciences, Toulouse 3, in the research area of data science. I have been active in database and information system research since my PhD in 1987. I have published over one hundred papers, books and book chapters since 2000 and advised more than 30 PhD. I have been leading international, European and national projects on personal (meta)data privacy and management, CCTV and forensic, IoT and security, geospatial and indoor/outdoor data, and social networks, with applications via deep/machine learning for alert, spam and rumors detection, social emotion and interaction,…
My research interests include modelling, developing, evaluating, and characterizing (big) data systems and techniques from both problem-driven and technique-driven perspectives.
I have been heavily involved in designing data sets and platforms in order to enable assessment of the various contributions, software and systems of our community.
Femme Cyber Chercheuse !!! #EuropeanCyberWomanDay : https://cyberwomenday-cefcys.com/wp-content/uploads/2021/10/liste_FR_VF.pdf
I head the french IFIP (International Federation for Information Processing) committee. I founded the “femmes&Informatique” initiative of the French Informatics Society, and the WIE French chapter of IEEE. I have been nominated to the National Council of Universities by the French Ministry of Higher Education and Research.
Board member! https://www.femmesetsciences.fr/
Is it a sign? https://www.mcgill.ca/equity/sede Social Equity and Diversity Education, McGillUNiversity
Revue de presse
International collaborations with India, Malaysia, Tunisia, Mexico,…
LIA CNRS Kuala Lumpur
Member of section 06 CoNRS (2000-2004) and CID 41.
I was deputy director of the IRIT lab (2010-2013) and head of the national research network GDR i3 (information Interaction artificial Intelligence) of the french national research center CNRS (2000-2012).
My research concerns data science, with strong contributions to data variety and velocity (heterogeneity, dynamicity). Our integrating and aggregating (meta)data model and framework has been validated in applications dedicated to multimedia, social interaction analysis, CCTV, social media, security and IoT.
Data analytics and management is the process of turning data into meaningful information that humans can use to make effective decisions. Raw data is only the starting point. The data need to be analyzed, turned into information and made accessible to users, and the data also needs to meet varying needs and profiles, and be understandable to different audiences. The value of the data comes from the stories it tells…