Contact: wajdidhifli{at}gmail{dot}com /wajdi{dot}dhifli{at}univ-lille{dot}fr

Address: 3, rue du Professeur Laguesse BP83 - 59006 - Lille Cedex, France.

I recently joined the University of Lille as an assistant professor (maître de conférences) in computer science by 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.


I'm co-chairing the Joint ICML and IJCAI 2018 Workshop on Computational Biology (WCB) @ Joint ICML/AAMAS/IJCAI-ECAI Conference (FAIM) 2018 (leading conferences in machine learning and artificial intelligence)

I joined the program committee of CIKM 2018 (leading conference in knowledge management, information retrieval, and databases) and the workshop Advances in Mining Large-Scale Time Dependent Graphs (TD-LSG) @ VLDB 2018 (leading conference in databases)

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 « An Evolutionary Scheme for Decision Tree Construction » in Knowledge-Based Systems, Elsevier 2017 has received an Honourable Mention in the Computer Science & Engineering category in the Algerian Paper of the Year Award Contest 2017!

Our paper « MR-SimLab: Scalable Subgraph Selection with Label Similarity for Big Data » has been accepted for publication in Information Systems, Elsevier 2017!

I'm co-chairing the workshop Bioinformatics and Artificial Intelligence (BAI) @ IJCAI 2017 (the leading conference in artificial intelligence)

Our paper « An Evolutionary Schema for Mining Skyline Clusters of Attributed Graph Data » has been accepted for publication in the IEEE Congress on Evolutionary Computation (CEC 2017).

Our paper « An Evolutionary Scheme for Decision Tree Construction » has been accepted for publication in Knowledge-Based Systems, Elsevier 2017!

Our paper « ProtNN: Fast and Accurate Protein 3D-Structure Classification in Structural and Topological Space » has been accepted for publication in BioData Mining, BMC 2016!

I'm making the NEWS with my best paper award at the University of Quebec At Montreal (the article is in french)

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)!

Academic Qualification

11/2010-12/2013: Ph.D in Computer Science

Topic: Topological and Domain Knowledge-based Subgraph Mining: Application on Protein 3D-Structures. (Thesis manuscript) (Examiners report)

Defended on: December, 11th 2013

Committee Members:

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