Fatma KRIKID
AI Research Engineer | Deep Learning & Medical Imaging PhD in Neuroscience & Biomedical AI
Salaire / Taux journalier
43000 Le Puy-en-Velay, France
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
Deep learning researcher with 5+ years developing AI models for neuroimaging and microscopic biomedical analysis. Proven track record in segmentation architectures (U-Net, clDice) and EEG signal classification. Combining neuroscience domain knowledge with modern ML to solve real-world medical challenges.
Expérience de travail
Postdoctoral Researcher
Institut Pascal, University of Clermont Auvergne
juil. 2023 - Présent
3 ans 4 mois
Clermont-Ferrand, France
– Developing AI-based models for segmentation and quantification of microscopic biomedical images (e.g., vascular and tumor tissues). – Designing and evaluating topology-aware deep learning architectures for 3D image segmentation. – Conducting comparative analyses of model performance across datasets. – Participated in an experimental mission at the European Synchrotron Radiation Facility (ESRF, Grenoble) for 3D microscopic image acquisition.
LTSI, University of Rennes
oct. 2019 - juin 2023
3 ans 9 mois
Rennes, France
Postdoctoral Researcher
déc. 2022 - juin 2023
7 mois
Rennes, France
– Implemented convolutional autoencoders for unsupervised feature extraction from time-frequency images. – Classified epileptic biomarkers (high-frequency oscillations) using deep learning on intracranial EEG data. – Delivered practical courses on C/C++ programming, machine learning, and probability at ESIR Engineering School.
Doctoral Researcher
oct. 2019 - déc. 2022
3 ans 3 mois
Rennes, France
– Developed algorithms for automatic classification of neurophysiological biomarkers in epilepsy. – Conducted quantitative analysis of EEG signals using time-frequency and image-based methods. – Collaborated on the PHC Utique Project (France-Tunisia cooperation). – Ph.D. Thesis: Classification of High-Frequency Oscillations During Epileptic Seizures
Formation
University of Rennes
Ph.D., Biomedical Signal and Image Processing (Neuroscience & AI)
2019 - 2022
3 ans 1 mois
ENET'COM
Master of Research, Information and Communication Technologies (STIC)
2015 - 2018
3 ans 1 mois
ISBS
Professional Master, Biomedical Engineering
2013 - 2015
2 ans 1 mois
ISBS
Bachelor's Degree, Biomedical Engineering
2010 - 2013
3 ans 1 mois