I'm an associate professor (maître de conférences) in computer science at the University of Lille since September 1st 2017. I worked previously as a postdoctoral research associate with the I3-bionet team at the Institute of Systems and Synthetic Biology (iSSB) - University of Évry-Val-d'Essonne, also as a postdoctoral research associate with the bioinformatics lab at the University of Quebec At Montreal (UQAM), and as a research engineer at LIMOS - Blaise Pascal University. I received a PhD in Computer Science from Blaise Pascal University in December 2013.
My research interests include theoretical and applied research in data mining, machine learning and big data analytics with a particular interest in graph mining and applications in bio- and health informatics.
Our paper « Latent network-based representations for large-scale gene expression data analysis » has been accepted for publication in BMC Bioinformatics, BMC, 2019!
Our paper « Evolutionary Mining of Skyline Clusters of Attributed Graph Data » has been accepted for publication in Information Sciences, Elsevier, 2018!
Our paper « Efficiently mining recurrent substructures from protein three-dimensional structure graphs » has been accepted for publication in the Journal of Computational Biology (JCB), Mary Ann Liebert, Inc., 2018!
Our paper « Latent network-based representations for large-scale gene expression data analysis » has been accepted for oral presentation in the International Conference on Bioinformatics (InCOB 2018).
Our paper « Efficiently mining recurrent substructures from protein 3D-structure graphs » has been accepted for publication in the Joint ICML and IJCAI Workshop on Computational Biology (WCB 2018).
I'm co-chairing the Joint ICML and IJCAI 2018 Workshop on Computational Biology (WCB) @ Joint ICML/AAMAS/IJCAI-ECAI Conference (FAIM) 2018
I joined the program committee of CIKM 2018, the workshop Advances in Mining Large-Scale Time Dependent Graphs (TD-LSG) @ VLDB 2018 and the workshop on Uncertainty in Cloud Computing (UCC) @ CloudCom 2018
I was invited to give 2 talks on machine learning at the 3rd édition of the school of Big Data (Big Data Services For Smart Cities)
Our paper « Improving Memory Based User Collaborative Filtering with Evolutionary Multi-Objective Optimization » has been accepted for publication in Expert Systems with Applications, Elsevier, 2018!
Our paper « Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining » has been accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017!
Our paper « MR-SimLab: Scalable Subgraph Selection with Label Similarity for Big Data » has been accepted for publication in Information Systems, Elsevier, 2017!
Our paper « An Evolutionary Scheme for Decision Tree Construction » has been accepted for publication in Knowledge-Based Systems, Elsevier, 2017!
Our paper « Toward an Efficient Multi-class Classification in an Open Universe » has received the BEST PAPER AWARD at the International Conference on Machine Learning and Data Mining (MLDM 2016)!
11/2010-12/2013: Ph.D in Computer Science
Defended on: December, 11th 2013
Prof. Mohammed Javeed Zaki (Rensselaer Polytechnic Institute, USA)
Prof. Abdoulaye Baniré Diallo (University of Quebec At Montreal, Canada)
DR. Jan Ramon (Katholieke Universiteit Leuven, Belgium)
DR. Jean-François Gibrat (INRA, Jouy-en-Josas, France)
DR. David W. Ritchie (INRIA, Nancy, France)
DR. Jean Sallantin (LIRMM, Montpellier, France)
Prof. Annegret Wagler (LIMOS, Clermont-Ferrand, France)
Prof. Engelbert Mephu Nguifo (LIMOS, Clermont-Ferrand, France)(Advisor)
Distinction: Very Honorable
University: Doctoral School of Engineering Sciences, University Clermont Auvergne (France)
Funding: PhD Grant From The Ministry of Higher Education and Research, France