EL JURDI, ROSANA R&D Engineer in Deep Learning
CONTACT
rosana.el-jurdi@univ-rouen.fr
+33 0763857196
23 Avenue de la mare aux Daims, 76800, France
Google Scholar
0000-0003-0509-9620
SKILLS
Programming
Python ○ ○ ○ ○ ○
MATLAB ○ ○ ○ ○○
Slurm ○ ○ ○ ○○
C++ ○ ○ ○○ ○ HTML ○ ○○ ○ ○ JavaScript ○ ○○ ○ ○ Operating Systems
Linux ○ ○ ○ ○○
Windows ○ ○ ○ ○○ Software & Tools
Parallel Computing
○ ○ ○ ○ ○ Data Handling & Analysis
○ ○ ○ ○ ○ (eg. NumPy, SciPy, pandas) Visualisation
○ ○ ○ ○ ○ (eg. Matplotlib, gnuplot)
PyTorch ○ ○ ○ ○ ○
LaTeX ○ ○ ○ ○○
TensorFlow ○ ○ ○○ ○
MySQL ○ ○○ ○ ○
Languages
English ○ ○ ○ ○ ○
French ○ ○ ○○ ○
Arabic ○ ○ ○ ○ ○
(Native Language)
PROFESSIONAL EXPERIENCE
• R&D Engineer (PhD) in Deep Learning (2018-Present) LITIS Lab, Université de Rouen, Normandie
Directors: Paul Honeine, Caroline Petitjean, Fahed Abdallah – Research Activities:
· Project: Medical Image Segmentation using Deep CNNs in Fully and Weakly Supervised Frameworks.
· Code development in Python via PyTorch and TensorFlow
· Multi-GPU processing via CUDA and SLURM (CRIANN servers)
· Data processing and analysis (.npy , HDF5, NIFTY Format... )
· Deep learning (deep model design, loss design, meta-learning)
· Simulation of code and benchmarking state-of-the-art models
· Article and report reduction
· Participation in national and international conferences – Teaching at Institut Polytechnique UniLaSalle, Rouen
· Preparation of courses, TD,and TP: first year engineering cycle, interna- tional formation
· Preparation of seminars in Deep Learning: Master in Data Science – Other Activities:
· Research visit to Eindhoven University of Technology (TU/e) - awarded the PHC Van Gogh scholarship
· Research collaboration with Dr. Veronika Cheplygina at TU/e
· PhD representative at the LITIS laboratory council
· Co-supervision of two students enrolled into the 1st year of the Data Science and Engineering Master Program, Université de Rouen
· Organizer of the Doctoral Seminars in Deep Learning at the LITISLAB
• Research Assistant at the American University of Beirut (Oct-Nov 2018) – Simulation of code on multi-modal CNNs with text and image data
• Research (Master) Project on Twitter Sentiment Analysis using Convolutional
Neural Networks (2017-2018)
– Annotation of a novel multi-label twitter dataset – Code development in Python via Keras and Tensorflow
• R&D Engineering Internship at AIIA Solutions, Forward Technologies, Beirut,
Lebanon (July-Aug 2017)
– Route Optimization via heuristic algorithms
– Data Analysis via python, MySQL, eclipse and Django – Web Development via JavaScript and HTML
– Team project and communication via Bitbucket
• Industrial Internship at Meico Power Generators, Lebanon (Aug-2016)
EDUCATION
2018-Present Ph.D. candidate in Informatics and Deep Learning LITIS Lab, Université de Rouen, Normandie
2017-2018 M.Sc. in Robotics and Intelligent Systems
Co-diplomation between the Universté de Compiegne, France and Lebanese University, Beirut
2013-2018 B.Sc. in Electrical and Electronics Engineering Lebanese University, Faculty of Engineering, Beirut
PUBLICATIONS
• Journals:
– BB-UNet: U-Net with Bounding Box Prior. in IEEE Journal of Selected Topics in Signal Processing, 14(6): 1189-1198. October 2020
• Conferences:
– Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmenta- tion in Proceedings of the 10th International Conference on Image Processing The- ory, Tools and Applications (IPTA), Paris, France, 9 - 12 November 2020.
– Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study. in Actes du 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Lille, France, 26 - 29 August 2019.
• Workshops
– Towards semi-supervised segmentation of organs at risk using deep con- volutional neural networks. GdR-ISIS workshop: Apprentissage faiblement supervisé ou nonsupervisé pour l’analyse d’images et de video, 05 2019
