Ariel Basso Madjoukeng

Ariel Basso Madjoukeng is a researcher at the Research Center on Information Systems Engineering within the Namur Digital Institute. His work focuses on advancing machine learning techniques for computational challenges in data analysis and sign language recognition.

Research Interests

• Development of contrastive learning frameworks for sign language recognition
• Optimization of clustering algorithms (e.g., k-means) with robustness to anomalies
• Data augmentation strategies for improving model generalization
• Efficient convergence methods in unsupervised learning

Recent Contributions include benchmarking augmentation techniques in contrastive learning and enhancing clustering stability. He actively presents at international conferences like ESANN and IJCNN, with outputs spanning 2024-2025.