Abdourrahmane ATTO

Abdourrahmane ATTO is a Professor at Polytech Annecy-Chambéry, part of Savoie Mont-Blanc University. His research focuses on advanced machine learning techniques, including deep learning theory, stochastic modeling of multi-fractal processes, and time series analysis of images. He specializes in applications such as SAR image processing, environmental monitoring, and geohazard prediction. His work integrates neural networks, wavelet analysis, and explainable AI methods.

Research Themes:

• Deep Learning Theories (Analysis, Explainability)
• Multi-Fractality and Stochastic Modeling
• Time Series of Images & Video Analysis
• Convolutional Neural Networks
• SAR and InSAR Image Processing

Key Contributions:

• Developed timed-image representations for action recognition in video sequences.
• Advanced fractional Brownian field models for texture synthesis and analysis.
• Created the ISSLIDE dataset for landslide detection using machine learning.
• Pioneered explainable AI methods for hydrological forecasting and SAR image classification.

Labs & Affiliations: Active member of LISTIC laboratory, focusing on interdisciplinary research in signal processing and computer science.