Research Advising and Mentorship
Ph.D Supervision
Student: Sayeh Gholipour-Picha, Gipsa-Lab, École doctorale Électronique, Électrotechnique, Automatique, Traitement du Signal (ED EEATS)
Duration: 16 of November 2022 to 15 of Novemeber 2025
Subject: Explainable Deep Learning in Medical Imaging Diagnosis
Student: Fabian LEON, Between Gipsa-Lab and Centre Léon Bérard.
Duration: 06 of March 2024 to 05 of March 2027
Subject: Infrared imaging based on the selection of spectral biomarkers for the diagnosis of cancer of the oral cavity
Master and End of Engineering Supervision
Student: Iannis Pereuilhet, 2A Biomed (Phlema), Gipsa-Lab
Duration: : 6th of march to 31th of July, acedmic 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, acedmic 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, acedmic 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, acedmic year 2021-2022
Subject: Leveraging prior image captions information into anomaly and semantic scene segmentation.
Co-Supervision: Dr. Kai Wang (CNRS Researcher)
Student: Zaineb Chiha, 3A, Engineering, École Centrale de Nantes/ LS2N
Duration: 1st of February to end of July, acedmic 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, acedmic 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, acedmic year 2019-2020
Subject: Brain Tumor Segmentation using Classical Image Processing and Deep Learning Approach
Co-Supervision
Student: Sayeh Gholipour-Picha, M2, Gipsa-Lab
Duration: 1st of February to end of June, acedmic year 2021-2022
Subject: Does GAN-Based Image Data Augmentation provide New Information?
Main Supervisor: Pr. Alice Caplier
Internship Tutor, Phelma
Student: Loïc Pouvreau, 3A SICOM
Duration: 20/03/2023 to 25/08/2023
Subject: Concepteur logiciel – Intelligence Artificielle
Student: Julia Garriga Ferrer, M2 parcours SIGMA
Duration: 20/02/2023 to 18/08/2023
Subject: Machine learning for the automatic identification of dislocations in DFXM
Student: Clément Lambotin, 3A SICOM
Duration: 01/03/2023 to 30/08/2023
Subject: Stage ingénieur Traitement d'images / Deep learning
Student: Florian Sgard, 3A BIOMED
Duration: 14/02/2022 to 01/07/2022
Subject: Artificial Intelligence and NLP
Student: Youssef Boulkhir, 3A SEOC-PHELMA
Duration: 14/02/2022 to 15/08/2022
Subject: Design and production of a visual article recognitionvisual recognition tool.