KEYNOTE SPEAKERS​

Keynote Speakers​

Dr. Leandros A. Maglaras is a highly cited cybersecurity researcher and Professor of Cybersecurity in the School of Computing at Edinburgh Napier University, also serving as Visiting Professor at De Montfort University, with extensive research and leadership experience in cyber-physical systems, intrusion detection, and secure networks. He conducts internationally recognized work on machine learning and deep learning for intrusion detection, particularly in SCADA and IoT systems, and has co-authored influential studies on cybersecurity frameworks, authentication protocols, and adversarial detection methods. His research outputs are widely cited in the cybersecurity community, and he is listed among the top 0.1% of highly cited researchers globally according to Clarivate and among the top 2% of scientists worldwide according to Stanford University data. Dr. Maglaras has held significant leadership roles, including Director of the National Cyber Security Authority of Greece, and contributes to several editorial boards of major peer-reviewed journals while maintaining active participation in international research projects and academic service.

Dr. Mohamed Quafafou is a professor of computer science at Aix-Marseille University. His main research interests are in Data Mining theory and applications.  Prior to joining Aix-Marseille University at 2005, he served as Professor at Avignon University from 2002 to 2004 and as Assistant Professor at University of Nantes from 1995 to 2001. Mohamed Quafafou received his Habilitation Ph.D. in 2000 on Rough sets Theory and Data mining and a Ph.D. in Computer Science from INSA Lyon, in 1992. He received a M.Sc. in computer science from Paul Sabatier University (Toulouse), a M.Sc. in mathematics from Pau University and the B.Sc. degree in Mathematics from the Cadi Ayyad University (Marrakech).

For about 20 years, he developed research on Rough Set Theory, data mining, web information extraction, etc. In partnership with France Telecom, he developed one of the first web mining systems, whichis dedicated to the analysis of French web to discoveremergent web communities. He headed the Geobs Data Analyzer project which aimed to provide a theoretical foundation for spatial data mining systems covering a large area of applications, e.g., environment, marketing, social analysis, etc. He is currently leading research on data mining especially when data are generated by human activities. His research has a broader scope including personalization and recommendation, data science, web services; social network analysis, etc.He has supervised more than 15 Ph.D. thesis and more than 30 M.Sc. student research projects. He has been expert for a number of French National and International projects.

He is a teacher at Polytech’Marseille School, where he leads the Information System Engineering. He has also other teaching activities in M.Sc level in both Aix-Marseille University and University of Science and Technology of Hanoi. His website is http://www.quafafou.com

Dr. Nazha Selmaoui is a prominent academic and researcher specializing in computer science, specifically data mining and artificial intelligence. She is currently a Full Professor at the University of New Caledonia within the Institute of Exact and Applied Sciences (ISEA).

Academic Profile and Research

Her career is characterized by the application of advanced computational methods to environmental and ecological challenges.

  • Specializations: Pattern recognition, signal and image processing, spatial analysis, and machine learning.
  • Key Projects: She has led several high-impact projects, such as using AI for monitoring soil erosion, tracking dengue epidemics in New Caledonia, and analyzing benthic habitats (sea floor) in coral reefs.
  • Mentorship: Dr. Nezha Selmaoui has supervised numerous doctoral theses focused on big data, remote sensing for aquaculture, and spatio-temporal data mining.