I am a post-doc working on the identification and analysis of markers and methods for the prediction
and classification of medical data. My post-doc is entitled "Towards a method for identifying markers for monitoring patients in immunotherapy". My phD work was about "Aggregated Search in Distributed Graph Databases".
My post-doc advisor is :
Mohand-Saïd HACID (Prof., Université de Lyon 1,
LIRIS, France).
My PhD was a joint doctoral thesis between the Université de Lyon 1
(France) & University of Carthage
(Tunisia Polytechnic School, Tunisia).
I am a member of DB (Database) research Group of
the LIRIS lab. My phD work was about "Aggregated Search in Distributed Graph Databases".
Mes two phD advisors :
-
Mohand-Saïd HACID (Prof., Université de Lyon 1, LIRIS, France)
- Abderrazek JEMAI (HDR, University of Carthage, SERCOM, Tunisia)
My post-doc concerns AI algorithms used for clustering, classification and predicting
symptoms that would affect the QoL (Quality of Life) of immunotherapy cancer patients.
In this context, we exploit data collection trigered from clinical data and questionnaires.
These data are provided by European Hospitals involved in the Qualitop Project.
We are more concretly interested in validating PhD approaches in our team with the Qualitop data.
Further, we are interested in proposing using these approaches a multi-criteria prediction of patient
symptoms that are dependent to adverse events.
In my PhD, we were interested in investigating issues related to query evaluation and optimization in the framework
of aggregated search.
Aggregated search is a paradigm to access massively distributed information. It aims to produce answers
to queries by combining fragments of information from several sources. The queries search for objects (documents) that do not
exist as such in the targeted sources, but are built from fragments extracted from the sources. The sources might
not be specified in the query expression, they are dynamically discovered at runtime.
In our work, we will consider data dependencies to design
a framework to optimize query evaluation over distributed
data sources.
My post-doc is part of the QUALITOP project.
My PhD work was part of the CAIR project
(Contextual Aggregated Information Retrieval), which one of its main goals is to propose a complete scenario of
an Aggregated Information Retrieval System.