معرفی
Ahed ALBOODY is a Researcher (IR) working with the SPECIFI team, specializing in Machine Learning and Deep Learning applications for computer vision and remote sensing. With a research focus spanning from 2008 to the present, their work bridges the gap between theoretical computer vision techniques and practical applications in environmental monitoring, agriculture, and disaster response.
Their primary research interests include:
- Machine Learning & Deep Learning for High Level Computer Vision
- Deep Learning & Big HyperSpectral and Multispectral Satellite Data Fusion
- Remote Sensing Image Analysis for Ocean Color Extraction
- Smart Agriculture Applications using Hyperspectral Imaging
- Qualitative Spatial Reasoning Systems for Change Detection in Satellite Images
Recent work has focused on 3D hand gesture recognition using Graph Transformer Mixture-of-Experts, efficient parallel transformers, and applications of hyperspectral imaging for fire detection through smoke. Earlier research concentrated on spatial reasoning systems, particularly enriching the RCC8 model for topological relations in geospatial databases.
Scientific contributions span multiple domains:
- Remote sensing and satellite image processing
- Computer vision and deep learning architectures
- Environmental monitoring applications
- Agricultural technology and precision farming
- Disaster response systems
As a researcher, ALBOODY has collaborated extensively with colleagues across multiple institutions, with notable collaborations with Rim Slama on gesture recognition, Matthieu Puigt and Gilles Roussel on satellite image fusion, and Florence Sèdes and Jordi Inglada on spatial reasoning systems. Their work demonstrates a consistent trajectory from foundational research in spatial reasoning to applied work in remote sensing and computer vision.
