YOUNESS Genane

YOUNESS Genane is an Associate Professor affiliated with CESI's Engineering and Numerical Tools Research team. He has held roles including ex-Head of the Statistics Department at CNAM-Lebanon (2004-2021) and is currently an associate researcher at the MSDMA laboratory (CEDRIC-CNAM). His expertise spans Predictive Maintenance, Explainable AI, and advanced statistical methodologies.

• Education: PhD in Statistics (Pierre & Marie Curie University, 2004), DEA in Statistics (2000), Master of Applied Mathematics (Lebanese University, 1997)

Research interests focus on failure prognosis through data-driven approaches, trust in AI systems, and partition comparison techniques in machine learning. Recent work emphasizes XAI's role in predictive maintenance and bias mitigation in AI models.

Publications span over 20 years, with recent contributions exploring LSTM complexity effects on XAI, grid search optimization for MLP, and organizational culture impacts on mobility behaviors.

• Awards: HCIA-AI Huawei Certification (2020), Huawei ICT Academy Instructor (2020)

Supervision includes PhD candidates Lamine NDAO (XAI fairness) and Lola JOLY (higher education culture analysis), alongside master’s internships on PHM and hyperparameter optimization. He has contributed to European-funded projects like Conecte and FAO's Lebanon National Forest Assessment.

Expertise includes R training for digital transition initiatives and data analysis for Lebanese institutions. Active reviewer for RJCIA-PFIA and Communications in Statistics.