Benoît Frénay

Benoît Frénay is a Professor at the Faculty of Computer Science of the University of Namur (UNamur), affiliated with the Namur Digital Institute and the Research Institute in Didactic and Education. He holds a Doctor of Science in 'Uncertainty and Label Noise in Machine Learning' from Université Catholique de Louvain (2013). His research focuses on machine learning, data analysis, and their applications in domains like sign language recognition, environmental monitoring, and medical imaging.

He leads major projects such as SMARTSENS (sensors and machine learning for environmental monitoring) and VAMOS (Venus atmospheric exploration). His work bridges theoretical advances with real-world applications, including healthcare, industrial anomaly detection, and open government data systems. Notable contributions include developing robust clustering algorithms, energy-efficient neural networks, and interactive visualization tools for dimensionality reduction.

• Education: Ph.D. in Machine Learning (2013, UCLouvain)
• Key Projects: SMARTSENS, VAMOS, SafeTransRNN
• Research Themes: Explainable AI, Computer Vision, Sign Language Processing

His publications span over 127 articles, emphasizing interdisciplinary collaborations. He actively participates in conferences and workshops, contributing to the AI ethics discourse and educational outreach initiatives like School-IT for computer science education.