Current PhD Students
PhD Student: Amrin Akter, Gipsa-Lab, PICSA Team, Data Science Department
Collaborators: Gipsa-Lab and LS2N Nantes
Duration: 2025 t o 2028
Subject: Machine learning for medical imaging: uncertainty quantification & explainable AI
Finance: ANR-JCJC EQUR-XSM Project
PhD Student: Rogerio Bombardelli,
Collaborators: Gipsa-Lab and Schneider Electric Grenoble
Duration: 2025 to 2028
Subject: Adaptive Computer Vision Solutions for Heterogeneous Quality Control.
Finance: ANRT-CIFRE,
Current Postdoctoral Researchers
Researcher (PostDoc): Oussama Messai, Deep learning for the prevention, diagnosis, and monitoring of knee injuries in athletes.
Duration: 2024 to 2027
Subject: Deep learning for the prevention, diagnosis, and monitoring of knee injuries in athletes.
Defended PhD Theses
PhD Student: Dr. Sayeh Gholipour-Picha, Gipsa-Lab, École doctorale Électronique, Électrotechnique, Automatique, Traitement du Signal (ED EEATS)
Subject: Explainable Deep Learning in Medical Imaging Diagnosis.
Defended on 16 December 202
Current Master’s and Final Year Engineering Supervision
Student: Muhammad Fazeel, M2 SIGMA, Grenoble INP Phelma, Université Grenoble Alpes..
Duration: : 3rd of march to end of August, academic year 2025-2026
Subject: Under the project QUAMS, this internship tackle: Automatic Quantification of Skeletal Muscle,
Collaborators: Hôpital Couple Enfant, CHU Grenoble Alpes, Dr. Klaus Dieterich
Supervisors: Dawood Al Chanti, PICSA Team, Data Science department, GIPSA lab, Sergi Pujades INRIA-Morpheo team.
Student: Marwa Saighi, M2 Artificial Intelligence for Health, Université Grenoble Alpes.
Duration: : 23rd of march to mid September, academic year 2025-2026
Subject: Under the project CORAL, this internship tackle: Automated Angiography Based Microvascular Perfusion Assessment, towards pressure wire free microvascular quantification.
Collaborators: CHU Grenoble Alpes, Cardiologt Department, INSERM UMR 1039, Pr. Gilles Barone Rochette
Supervisors: Dawood Al Chanti, PICSA Team, Data Science department, GIPSA lab.
Student: Mounzer El Merheb, M2 Artificial Intelligence , Grenoble INP Ensimag , Université Grenoble Alpes.
Duration: : 16th of march to end of Augus, academic year 2025-2026
Subject: Segmentation of infarction and microvascular obstruction, active learning guided by uncertainty.
Supervisors: Anastasia Konik, Dawood Al Chanti, PICSA Team, Data Science department, GIPSA lab.
Defended Master’s and Engineering Degree Projects
Student: Amrin Akter, M2 TSI (Phlema), Gipsa-Lab
Duration: : 3rd of march to end of August, academic year 2024-2025
Subject: Quantitative Evaluation of Saliency Based Methods for Medical Image Analysis.
Student: Iannis Pereuilhet, 2A Biomed (Phlema), Gipsa-Lab
Duration: : 6th of march to 31th of July, academic year 2023-2024
Subject: Towards Explainable Artificial Intelligence XAI for medical Image Analysis.
Student: Maria Fernandes, 2A génie de l’énergie électrique (ENSE3), Gipsa-Lab
Duration: : 5th of June to 5th of September, academic year 2022-2023
Subject: Guided Semi-Supervised Learning Model with Uncertainty Measure.
Student: Ali Moufid, 3A Engineering (Phlema) Gipsa-Lab
Duration: : 4th of July to 23rd of September, academic year 2021-2022
Subject: Guided Semi-Supervised Semantic Segmentation with Uncertainty Measure
Student: Samer Saleh, 2A Engineering (Phlema) Gipsa-Lab
Duration: : 1st of March to 29th of July, academic year 2021-2022
Subject: Leveraging prior image captions information into anomaly and semantic scene segmentation.
Co-Supervision: Dr. Kai Wang (CNRS Researcher)
Student: Sayeh Gholipour-Picha, M2, Gipsa-Lab
Duration: 1st of February to end of June, academic year 2021-2022
Subject: Does GAN-Based Image Data Augmentation provide New Information?
Main Supervisor: Pr. Alice Caplier
Student: Zaineb Chiha, 3A, Engineering, École Centrale de Nantes/ LS2N
Duration: 1st of February to end of July, academic year 2020-2021
Subject: Deep Learning based Low-limb Muscle Segmentation for Reproducible Volume Quantification
Co-Supervision: Pr. Diana Mateus
Student: Elice Roy Kanjamala, M2, École Centrale de Nantes/ LS2N
Duration: 3 months, academic year 2020-2021
Subject: Active Learning for Smart Sampling
Students: Valentin NOEL, Giorgi Gelovani and Kai Huang, M1, École Centrale de Nantes/ LS2N
Duration: 3 months, academic year 2019-2020
Subject: Brain Tumor Segmentation using Classical Image Processing and Deep Learning Approach