Dawood AL CHANTI
Dawood AL CHANTI
Responsabilité(s)
Membre du Conseil de Laboratoire
Personnel G-INP Permanent
Computer vision, Machine learning, Deep learning, Medical image analysis, Explainable AI, Uncertainty quantification, Reliable AI, Learning with limited annotations, Active learning, Domain adaptation, Multimodal learning
Site Ampère
Bureau : B147
Téléphone : 04 76 82 64 86
Département Science des Données
PICSA
I am an Associate Professor at Grenoble INP – UGA and a member of the PICSA team in the Data Science Department at GIPSA-Lab. My research focuses on computer vision and machine learning for medical image analysis, particularly uncertainty quantification, explainable AI, and learning with limited annotations. I develop and evaluate methods to better understand model predictions and assess their reliability. I am the Principal Investigator of the ANR JCJC EQUR-XSM project, which investigates the reliability of visual explanations in medical imaging. My teaching covers machine learning, deep learning, and computer vision. I also coordinate industry relations for the final-year SICOM programme at Phelma–Ense3 and serve as an elected member of the GIPSA-Lab Conseil de laboratoire, since October 2026. Further information about my research, publications, and supervision is available on my personal website.
Restez Connectés
11 rue des Mathématiques
38402 Saint-Martin-d’Hères
Lun – Ven : 7:30 – 19:00
Liens Utiles
Newsletter du GIPSA-lab
La newsletter GIPSA-lab apporte des informations sur les activités et la vie du laboratoire (À venir).