ROSANA EL JURDI
R&D Engineer specializing in deep learning and medical image processing.
Salaire / Taux journalier
Melbourne Victoria, Australie
Freelance, ouvert au CDI
Peut venir sur site
Expertises
Langues
Expérience de travail
R&D Engineer (CDI)
Euranova
août 2023 - Présent
3 ans 3 mois
69340 Francheville, France
– Oncological event detection and patient timeline reconstruction from unstructured medical text documents. – Fair multi-modal learning in medical image processing. – Tracking and segmentation of metastatic lung tumor in FDG PET-CT data.
PostDoc in Deep Learning for Brain Imaging
Paris Brain Institute (ICM)
mars 2022 - juil. 2023
1 an 5 mois
Paris, France
– Validation of segmentation models in medical imaging. – Segmentation of lymphoma in clinical brain MRI datasets. – Brain vessel segmentation (SMILE-UHURA Challenge) in 7T MRAS. – Mentoring of a PhD student on prior-constrained losses for MIS. – Conferences & Workshops: – SPIE conference for medical imaging, San Diego, California. – ISBI (International Symposium on Biomedical Imaging) conference, Colombia. – Training: nnUnet, linux, HPC GPU (Jean Zay), prior-based losses, statistical validation
LITIS Lab, Université de Rouen
oct. 2018 - févr. 2022
3 ans 5 mois
61570 Francheville, France
PostDoc in Deep Learning for Fisheye Image Segmentation
oct. 2021 - févr. 2022
5 mois
61570 Francheville, France
– Project: Adaptation of segmentation models to Fisheye data
Ph.D. Researcher in Deep Learning
oct. 2018 - oct. 2021
3 ans 1 mois
61570 Francheville, France
– Project: Medical image segmentation using deep CNNs in fully and weakly supervised frameworks. – Research Activities: – High scale, multi-GPU neural networks training on TFlops cluster – Deep learning (deep model design, loss design...) – Preparation of seminars in Deep Learning for Master in data science – Participation in national and international conferences – Project management, time organization and problem solving skills – International collaboration at Eindhoven University of Technology – Visiting researcher (Feb.2020) – Awarded the PHC Van Gogh mobility scholarship – Research collaboration with Dr. Veronika Cheplygina – Team and Leadership Roles: – Ph.D. representative at the LITIS laboratory council – Co-advisor of two M1 students in Data Science, Université de Rouen – Founder & organizer of the doctoral seminars in Deep Learning at LITIS – Teaching at Institut Polytechnique UniLaSalle, Rouen
Research assistant
American University of Beirut
oct. 2018 - nov. 2018
2 mois
Beyrouth, Liban
– Project on multi-modal CNNs with text and image data
Research Intern
Lebanese University
mars 2018 - sept. 2018
7 mois
Beyrouth, Liban
– Twitter (text) Sentiment Analysis using Convolutional Neural Networks
Formation
Université de Rouen
Ph.D., Informatics and Deep Learning
2018 - 2021
3 ans 1 mois
Universté Technique de Compiègne and Lebanese University
M.Sc., Robotics and Intelligent Systems
2017 - 2018
1 an 1 mois
– Co-diplomation between the Universté Technique de Compiègne, France and Lebanese University, Beirut
Lebanese University, Faculty of Engineering
Engineer, Electrical and Electronics
2013 - 2018
5 ans 1 mois