Researcher-lecturer

MOURCHID Youssef

All resumes of CESI LINEACT researchers

Research team

Engineering and Numerical Tools

Educational activities

Disciplines : Computer science
Modalities : Courses, TP, Active pedagogy
Level : Engineers from 2nd to 5th year, Job applicants
Specialities : Programming (C, JAVA, Python), Artificial Intelligence, NLP

Background

Post-Doctoral
Thales & IMS Lab, Bordeaux INP, 2019 - 2020
Research Field : SAR image colorization using deep learning approaches: Application on Sentinel 1 and Sentinel 2 images.
PhD Computer Science
LRIT, Mohammed V University & Bourgogne University & Osaka University, 2014 - 2019
Subject : Complex Networks for image and video analysis
Master en Informatique et Télécommunications
LRIT, Université Mohammed V, 2012 - 2014
Sujet : Comparative study between different bases of transformation for compressive sensing of images

Research interest

Computer Vision
Machine/Deep Learning
Complex Networks
Digital Healthcare

Scientific animation

Head of the Building-Environment Chair
Student committee: International Conference on Advanced Technologies for Signal and Image Processing (ATSIP 2017)
Scientific committee: Sciences of Electronics, Technologies of Information and Telecommunications (SETIT 2016)
Subreviewer: ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2016)
Reviewer : the 2020 IEEE International Conference on Image Processing, Computer Vision and Image Understanding Journal, Optic Express
C-Chair of AI for Healthcare Workshop at EGC Conference 2024
Subreviewer: The 2024 IEEE International Conference on Signal, Image, Video and Communications (ISIVC 2024) on May 21-23, 2024, Marrakech, Morocco.

Supervising internship

Mohamed BOUBRED (Engineer) : Development of a tool for extracting data from Google Earth Engine
Samuel Soares Santo (Engineer) : GANS for Image Super-Resolution
Majda Lafhel (Master) : Movies Similarity using Multilayer Networks

Supervising thesis

Trésor YAO KOFF(Thesis) : Towards a multimodal approach using machine/deep learning: Application for patient monitoring in a connected space

Publications

Synthèse (2015-2024)

ACL : 6
C-ACTI : 13
C-ACTN : 2
C-COM : 1

ACL : International Journals

M. Chekroun, Y. Mourchid, I. Bessières, A. Lalande. “Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System“. Algorithms 2023, 16(12), 564. [PDF]
Y. Mourchid, R. Slama. “D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation”. Computers in Biology and Medicine, 165, 107420 (2023). [PDF]
Y. Mourchid, M. Donias, Y. Berthoumieu, M. Najim. “SPDGAN: a generative adversarial network based on SPD manifold learning for automatic image colorization”. Neural Computing and Applications, 1-17 (2023). [PDF]
Y. Mourchid, B. Renoust, O.Roupin, L.Văn, H.Cherifi, & M.El Hassouni. “Movienet: a movie multilayer network model using visual and textual semantic cues”. Applied Network Science (2019), 4(1), 1-37. [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi. “A general framework for complex network-based image segmentation”. Multimedia Tools and Applications (2019) : 1-26. [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi. “Image segmentation based on community detection approach”. The International Journal of Computer Information Systems and Industrial Management Applications. ISSN, 2150-7988 (2016). [PDF]

C-ACTI : International Conferences

I. Abouelaziz, Y. Mourchid. “A Framework for Building Point Cloud Cleaning, Plane Detection and Semantic Segmentation”. 20th ACS/IEEE International Conference on Computer Systems and Applications (AICSSA 2023)
Y. Mourchid, R. Slama. “MR-STGN: Multi-Residual Spatio Temporal Graph Network using Attention Fusion for Patient Action Assessment”. The IEEE International Workshop on MultiMedia Signal Processing (MMSP 2023).
TY. Koffi, Y. Mourchid, M. Hindawi, Y. Dupuis. “Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data”. The IEEE International Workshop on MultiMedia Signal Processing (MMSP 2023).
H. Benallal, Y. Mourchid, I. Abouelaziz, A. Al Falou, H. Tairi, J. Riffi, M. El Hassouni, “A new approach for removing point cloud outliers using box plot” Pattern Recognition and Tracking XXXIII 12101, 63-69 (2022) [PDF]
H. Benallal, I. Abouelaziz, Y. Mourchid, A. Al Falou, H. Tairi, J. Riffi, M. El Hassouni, “A new approach for removing point cloud outliers using the standard score” Pattern Recognition and Tracking XXXIII 12101, 56-62 (2022) [PDF]
Y. Mourchid, M. Donias, Y.Berthoumieu, “Automatic Image Colorization based on Multi-Discriminators Generative Adversarial Networks “, 28th European Signal Processing Conference (2021) [PDF]
M. Lafhel, H. Cherifi, B. Renoust, M. El Hassouni, and Y. Mourchid, “Movie Script Similarity using Multilayer Network Portrait Divergence “, In the 9th International Conference on Complex Networks and their Applications (2020). [PDF]
Y. Mourchid, M. Donias, Y.Berthoumieu, “Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images⋆”, MACLEAN ECML/PKDD (2020) [PDF]
Y. Mourchid, B. Renoust, M. El Hassouni, H. Cherifi , “Multilayer Network Model of Movie Script”, In International Conference on Complex Networks and their Applications (pp. 782-796). Springer, Cham (2018, December). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, “Image Segmentation by Deep Community Detection Approach”, In International Symposium on Ubiquitous Networking (pp. 607-618). Springer, Cham (2017, May). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, “An image segmentation algorithm based on community detection”, In International Workshop on Complex Networks and their Applications (pp. 821-830). Springer, Cham (2016, November). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, “A new image segmentation approach using community detection algorithms”, 15th International Conference on Intelligent Systems Design and Applications (ISDA) (pp. 648-653). IEEE (2015). [PDF]
Y. Mourchid, M. El Hassouni, “Comparative study between different bases of transformation for compressive sensing of images “, 2015 Intelligent Systems and Computer Vision, ISCV (2015). [PDF]

C-ACTN : National Conferences

M. Lafhel, Y. Mourchid, H. Cherifi, B. Renoust, M. EL Hassouni, “Assessing movie similarity using a multilayer network model”, French Regional Conference on Complex Systems, May 2021, DIJON, France.
M. Lafhel, Y. Mourchid, H. Cherifi, B. Renoust, M. EL Hassouni, “Ranking movies using multilayer networks”, The 10th Conference on Network Modeling and Analysis November 06 – 08, 2019 Dijon, France, MARAMI 2019.

C-COM : Séminaire and other communications

Y. Mourchid, M. El Hassouni, H. Cherifi, “La Segmentation des Images par Les Reseaux Complexes”, Journee URAC-Maroc, Rabat, 28 Novembre 2015.

Thesis

Y. Mourchid, Complex Networks for Image and Video Analysis, 2019