  | Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (In press). Explainable Deep Learning for Covid-19 detection using chest X-ray and CT images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. doi:10.1007/978-3-030-72752-9_16  Peer reviewed |
 | Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (In press). Multimedia Processing using Deep Learning Technologies, HPC, Cloud Resources and Big Data Volumes. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
 | Andrianandrianina johanesa, T. V., EQUETER, L., & MAHMOUDI, S. (04 March 2024). Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0. Electronics, 13 (5), 976. doi:10.3390/electronics13050976 Peer reviewed vérifié par ORBi |
Ouardirhi, Z.* , Amel, O., Zbakh, M., & Mahmoudi, S. (28 February 2024). FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling [Paper presentation]. VISAPP 2024, Rome, Italy. |
 | Rahmani, T. A., Belalem, G., Mahmoudi, S., & Merad-Boudia, O. R. (2024). Machine learning-driven energy-efficient load balancing for real-time heterogeneous systems. Cluster Computing. doi:10.1007/s10586-023-04215-3 Peer reviewed vérifié par ORBi |
 | Lerat, J.-S., & Mahmoudi, S. (2024). Architecture to Distribute Deep Learning Models on Containers and Virtual Machines for Industry 4.0*. CloudTech'23. Peer reviewed |
 | Stassin, S., Corduant, V., MAHMOUDI, S., & Siebert, X. (30 December 2023). Explainability and Evaluation of Vision Transformers: An In-Depth Experimental Study. Electronics, 13 (1), 175. doi:10.3390/electronics13010175 Peer reviewed vérifié par ORBi |
  | Lerat, J.-S., & Mahmoudi, S. (2023). Architecture to Distribute Deep Learning Models on Containers and Virtual Machines for Industry 4.0*. IEEE Cloud Computing. doi:10.1109/cloudtech58737.2023.10366111 Peer reviewed vérifié par ORBi |
 | Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (2023). A Novel Approach for Recognizing Occluded Objects Using Feature Pyramid Network Based on Occlusion Rate Analysis. 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). doi:10.1109/cloudtech58737.2023.10366103 Peer reviewed |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (25 June 2023). Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience, 35 (14). doi:10.1002/cpe.6730 Peer reviewed vérifié par ORBi |
  | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2023). Single Node Deep Learning Frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
 | Mahmoudi, S. (23 June 2023). Review of DNN optimization and compression methods for Edge AI systems [Paper presentation]. Trail Seminars, Belgium. |
BENKEDADRA, M., Mancas, M., & Mahmoudi, S. (2023). Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis. In IMX '23: Proceedings of the 2023 ACM International Conference on Interactive Media Experiences. ACM. doi:10.1145/3573381.3597220 Peer reviewed |
Benkedadra, M., Mahmoudi, S., & Mancas, M. (2023). MLOps for Edge deployment of a Real Time Danger Detection AI [Paper presentation]. INFORTECH Day 2023, Mons, Belgium. |
Stassin, S., Amel, O., Siebert, X., & Mahmoudi, S. (24 May 2023). Best Approaches for Customs Fraud Detection [Paper presentation]. Infortech Day. |
Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (2023). Artificial Intelligence and Deep Learning for 2D/3D object detection with the presence of occlusion [Paper presentation]. INFORTECH Day 2023, Mons, Belgium. |
Andrianandrianina johanesa, T. V., Equeter, L., & Mahmoudi, S. (24 May 2023). Product Quality Optimization through Production Line Analysis using AI in Industry [Paper presentation]. Infortech Day, Mons, Belgium. |
Mahmoudi, S. (18 May 2023). Edge AI for smart agriculture [Paper presentation]. Transition digitale : opportunités et défis pour la sécurité alimentaire. |
 | Mahmoudi, S. (06 May 2023). AI and Deep Learning challenges XAI and Edge AI [Paper presentation]. INDABA x Algeria. |
 | Mahmoudi, S., Amel, O., Stassin, S., Liagre, M., Benkedadra, M., & Mancas, M. (May 2023). A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time. Electronics, 12 (9), 2027. doi:10.3390/electronics12092027 Peer reviewed vérifié par ORBi |
Benkedadra, M., & Mahmoudi, S. (2023). InfraSecure : a Danger Detection Solution for Construction Sites [Paper presentation]. Hannover Messe 2023, Hannover, Germany. |
 | Rahmani, T. A., Belalem, G., & Mahmoudi, S. (2023). RTLB_Sched: Real Time Load Balancing Scheduler for CPU-GPU Heterogeneous Systems. In International Conference on Smart Computing and Application, ICSCA 2023. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICSCA57840.2023.10087604 Peer reviewed |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (01 February 2023). Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience, 35 (14). Peer reviewed vérifié par ORBi |
 | Englebert, A., Stassin, S., Nanfack, G., Mahmoudi, S., Siebert, X., Cornu, O., & De Vleeschouwer, C. (2023). Explaining through Transformer Input Sampling. In Proceedings of the IEEE/CVF International Conference on Computer Vision. IEEE Xplore. doi:10.1109/ICCVW60793.2023.00088 Peer reviewed |
 | Stassin, S., Amel, O., Mahmoudi, S., & Siebert, X. (2023). Similarity versus Supervision: Best Approaches for HS Code Prediction. In ESANN 2023 proceedings (31st). i6doc.com. Peer reviewed |
 | Amel, O., Stassin, S., Mahmoudi, S., & Siebert, X. (2023). Multimodal Approach for Harmonized System Code Prediction. In ESANN 2023 proceedings (31st). i6doc.com. Peer reviewed |
 | Lessage, X., Michal, N., Mahmoudi, S., Lilian, M., Debauche, O., & Mahmoudi, S. (2022). A new coronary artery stenosis detection method with a Hybrid LSTM-CNN model. Lecture Notes in Networks and Systems. Peer reviewed |
 | Rahmani, T. A., Daham, F., Belalem, G., & Mahmoudi, S. (2022). HBalancer: A machine learning based load balancer in real time CPU-GPU heterogeneous systems. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). doi:10.1109/3ict56508.2022.9990623 Peer reviewed |
 | Ouardirhi, Z.* , Mahmoudi, S., Zbakh, M., El Ghmary, M., Benjelloun, M., Ait Abdelali, H., & Derrouz, H. (2022). An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. In An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. Springer. Peer reviewed |
Mahmoudi, S. (19 October 2022). CLEO : Computer-aided Low-dose Estimation of Osteoarticular Diseases [Paper presentation]. Industry meets Universities BIR&D, Bruxelles, Belgium. Editorial reviewed |
 | Mahmoudi, S. (19 October 2022). Explainable Artificial Intelligence “XAI” [Paper presentation]. Industry meets Universities BIR&D, BRUXELLES, Belgium. Editorial reviewed |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (06 September 2022). Apprentissage profond distribué : d’un seul nœud vers plusieurs nœuds de calcul [Poster presentation]. Mardi des chercheurs, Mons, Belgium. |
 | Amel, O., Mahmoudi, S., Siebert, X., & Hadjila fethallah. (24 August 2022). Multimodal learning for action recognition and customs fraud detection [Poster presentation]. deep learning indaba 2022, Tunis, Tunisia. Editorial reviewed |
 | Amel, O., Mahmoudi, S., & Siebert, X. (28 July 2022). Multimodal learning for customs fraud detection and action recognition [Paper presentation]. Deeplearn summer school 2022. Editorial reviewed |
Cools, A.* , & Mahmoudi, S. (26 July 2022). Towards less dependent deep learning models in terms of input data, labels and output descriptors [Paper presentation]. DeepLearn 2022 Summer, Gran Canaria, Spain. |
 | Lessage, X., Benzaouia, H., Murgo, S., Mahmoudi, S., Mahmoudi, S., & Guessoum, Z. (2022). Deep Convolutional Neural Networks (CNN) for lesions localization of in mammograms. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Doukha, R., Mahmoudi, S., Mostapha Zbakh, & Manneback, P. (2022). A comparative analysis of Convolution Neural Network models on Amazon Cloud Service. In Yu-Dong Zhang, AIIPCC 2022. VDE VERLAG. Peer reviewed |
Mahmoudi, S. (June 2022). Webinaire sur les opportunités de coopération en intelligence artificielle : Formations IA à l'UMONS [Paper presentation]. Webinaire sur les opportunités de coopération en intelligence artificielle, Berne, Switzerland. Editorial reviewed |
 | Belarbi, M. A., Mahmoudi, S., Belalem, G., Mahmoudi, S., & Cools, A. (June 2022). A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval. Big Data and Cognitive Computing, 6 (2), 54. doi:10.3390/bdcc6020054 Peer reviewed vérifié par ORBi |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2022). Distributed Deep Learning: From Single-Node to Multi-Node Architecture. Electronics. doi:10.3390/electronics11101525 Peer reviewed vérifié par ORBi |
 | Cools, A., Belarbi, M. A., & Mahmoudi, S. (27 April 2022). A Comparative Study of Reduction Methods applied on a Convolutional Neural Network. Electronics, 11 (9). Peer reviewed |
Stassin, S.* , Amel, O., Mahmoudi, S., & Siebert, X. (30 March 2022). Artificial Intelligence and Natural Language Processing for Customs Fraud Prediction [Paper presentation]. InforTech Day, Mons, Belgium. Editorial reviewed |
Amel, O., Mahmoudi, S., Siebert, X., & Stassin, S. (30 March 2022). Review of multimodal approaches [Paper presentation]. Infortech day on Data science, Mons, Belgium. |
 | Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium. |
 | Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium. |
 | Cools, A., & Mahmoudi, S. (30 March 2022). Reduction of dimension applied to convolutional neural networks applied for content-based image retrieval engines [Paper presentation]. Infortech Day, Mons, Belgium. |
Mahmoudi, S. (02 February 2022). Edge AI & Deep Learning [Paper presentation]. Kick-off TRAIL/WP4, Mons, Belgium. Editorial reviewed |
 | Hammou, D. R., Mahmoudi, S., & Adjoudj, R. (01 January 2022). Multi-Biometric Iris Recognition System Using Consensus Between Convolutional Neural Network Architectures. International Journal of Organizational and Collective Intelligence, 12 (1), 1-30. doi:10.4018/ijoci.305210 Peer reviewed |
Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (27 July 2021). Deep Learning Frameworks: Performances Analysis [Paper presentation]. DeepLearn, Las Palmas de Gran Canaria, Spain. |
 | Mahmoudi, S., Lessage, X., Giudice, F., Murgo, S., & Mahmoudi, S. (24 June 2021). Breast cancer detection in digital mammography with convolutional neural network: retrospective study in Belgium. International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 69-70. Peer reviewed vérifié par ORBi |
 | Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (2021). Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 323-338). Springer. |
 | Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (21 June 2021). Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI). International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 64-65. Peer reviewed vérifié par ORBi |
 | Debauche, O., Trani, J.-P., Mahmoudi, S., Manneback, P., Bindelle, J., Mahmoudi, S., Guttadauria, A., & Lebeau, F. (09 June 2021). Data Management and Internet of Things : A Methodological Review in Smart Farming. Internet of Things, 14. Peer reviewed |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (30 March 2021). Comparaison des frameworks d'apprentissage profond sur un seul noeud de calcul [Poster presentation]. Mardi des Chercheurs, Virtual Meeting, Unknown/unspecified. |
 | Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (2021). Chest X-ray images analysis with Deep Convolutional Neural Networks (CNN) for COVID-19 detection. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 405-425). Springer. doi:10.1007/978-3-030-72752-9_21 |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (2021). A new Collaborative Platform for Covid-19, Benchmark Datasets. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. doi:10.1007/978-3-030-72752-9_12 |
 | El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Guttadauria, A., Manneback, P., & Lebeau, F. (10 March 2021). Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence. International Journal of Ubiquitous Systems and Pervasive Networks, 15 (5), 11-17. Peer reviewed |
 | Laabassi, K., Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Ferhat, K. (01 March 2021). Wheat varieties identification based on a deep learning approach. Journal of the Saudi Society of Agricultural Sciences, 20 (5), 281-289. Peer reviewed vérifié par ORBi |
El Habib Daho, M., Khouani, A., Lazouni, M. E. A., & Mahmoudi, S. (2021). Explainable Deep Learning Model for COVID-19 Screening in Chest CT Images [Paper presentation]. International Conference on Digital Technologies and Applications, Fez, Mar. doi:10.1007/978-3-030-73882-2_89 |
 | Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (21 December 2020). Multimedia processing using deep learning technologies, highperformance computing cloud resources, and Big Data volumes. Concurrency and Computation: Practice and Experience, 32 (17). Peer reviewed vérifié par ORBi |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., Mahmoudi, S., & Debauche, O. (2020). Toward a Big Data Knowledge-Base Management System for Precision Livestock Farming. Procedia Computer Science. Peer reviewed |
Nolack Fote, F., Mahmoudi, S., Mahmoudi, S., & Roukh, A. (2020). Big Data Storage and Analysis for Smart Farming [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
Doukha, R., Mahmoudi, S., Mostapha, Z., & Manneback, P. (2020). Deployment of Containerized Deep Learning Applications in the cloud [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
Hammou, D. R., Mahmoudi, S., Adjoudj, R., & Mechab, B. (2020). A Model Of A Biometric Recognition System Based On The Hough Transform Of Libor Masek and 1-D Log-Gabor Filter [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
Djalal Rafik, H., Mahmoudi, S., Reda, A., & Boubaker, M. (24 November 2020). A Model of A Biometric Recognition System Based on the Hough Transform of Libor Masek and 1-D Log-Gabor Filter [Paper presentation]. 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), Marrakesh, Mar. doi:10.1109/CloudTech49835.2020.9365917 |
 | Debauche, O., Mahmoudi, S., De Cock, N., Mahmoudi, S., Manneback, P., & Lebeau, F. (15 November 2020). Cloud Architecture For Plant Phenotyping Research. Concurrency and Computation: Practice and Experience, 32 (17). doi:10.1002/cpe.5661 Peer reviewed vérifié par ORBi |
 | El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 November 2020). Edge Computing and Artificial Intelligence for Landslides Monitoring. Procedia Computer Science, 177, 480-487. doi:10.1016/j.procs.2020.10.066 Peer reviewed |
 | Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). Big Data Processing Architecture for Smart Farming. Procedia Computer Science. doi:10.1016/j.procs.2020.10.014 Peer reviewed |
 | Bornia, J., Frihida, A., Debauche, O., Mahmoudi, S., & Manneback, P. (2020). Deep Learning and Tensorflow for Tracking People's Movements in a Video [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (02 November 2020). A new Collaborative Platform for Research in Smart Farming. Procedia Computer Science, 177, 450-455. doi:10.1016/j.procs.2020.10.061 Peer reviewed |
 | Khouani, A., Daho, M. E. H., Mahmoudi, S., Chikh, M. A., & Benzineb, B. (2020). Automated recognition of white blood cells using deep learning. Biomedical Engineering Letters. Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure. Procedia Computer Science, 175, 542-547. doi:10.1016/j.procs.2020.07.077 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence for Real-time Poultry Monitoring. Procedia Computer Science, 175, 534-541. doi:10.1016/j.procs.2020.07.076 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge AI-IoT (AIoT) Architecture. Procedia Computer Science, 175, 10-19. doi:10.1016/j.procs.2020.07.006 Peer reviewed |
Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). WALLeSMART: Cloud Platform for Smart Farming [Paper presentation]. International Conference on Statistical and Scientific Database Management, 2020, Austria. |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., El Moulat, M., Manneback, P., & Lebeau, F. (02 July 2020). Edge AI-IoT Pivot Irrigation, Plant Diseases and Pests Identification. Procedia Computer Science, 177. doi:10.1016/j.procs.2020.10.009 Peer reviewed |
 | Lessage, X., Nedoszytko, M., Piussi, C., Mahmoudi, S., & Mahmoudi, S. (2020). Deep Convolutional Neural Networks (CNN) for classification of coronary arteries. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Giudice, F., WEBER, T., Lessage, X., Mahmoudi, S., Mahmoudi, S., & Siebert, X. (2020). Deep Convolutional Neural Networks (CNN) for mammographic abnormalities detection and segmentation. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (2020). Edge Computing for Cattle Behavior Analysis [Paper presentation]. Second international conference on Embedded & Distributed Systems, EDiS'2020, Oran, Algeria. doi:10.1109/EDiS49545.2020.9296471 |
Mahmoudi, S. (16 November 2019). IA et calcul à haute performance (HPC) [Paper presentation]. Séminaire 'Professeur invité', Université Mohammed V, Rabat, Morocco. |
Mahmoudi, S., & Doukha, R. (2019). Protocole de TP Cloud Computing. |
Mahmoudi, S. (28 August 2019). IA and Deep Learning for computer vision and multimedia retrieval [Poster presentation]. Deep Learning Academy, Université de Louvain La Neuve, Belgium. |
 | El Adoui, M., Mahmoudi, S., LARHMAM, M. A., & Benjelloun, M. (29 June 2019). MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. Computers, 8 (3), 52-63. doi:10.3390/computers8030052 Peer reviewed vérifié par ORBi |
 | Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. Computers. Peer reviewed vérifié par ORBi |
Mahmoudi, S. (13 June 2019). L'apprentissage profond (Deep Learning) au service de la vision par ordinateur et vidéo surveillance [Paper presentation]. Journée des doctorants, Université de Tlemcen, Algeria. |
Mahmoudi, S. (07 June 2019). Embedded System for Computer Vision and Video surveillance using Deep Learning Technologies [Paper presentation]. ID2Move Belgian Academic Seminar Autonomous Systems, Nivelles, Belgium. |
 | Debauche, O., & Mahmoudi, S. (2019). LE PIVOT INTELLIGENT SURVEILLE ET OPTIMISE LES BESOINS DES CULTURES. Polytech News. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (20 May 2019). Dimensionality Reduction in Large Scale Image Databases [Poster presentation]. Infortech Day, Mons, Belgium. |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (20 May 2019). IoT Data Analysis for Smart Farming : The Wallesmart Project [Poster presentation]. Infortech Day, Mons, Belgium. |
 | Benjelloun, M., El Adoui, M., LARHMAM, M. A., & Mahmoudi, S. (2019). Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning [Paper presentation]. The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. |
Bornia, J., Mahmoudi, S., Frihida, A., & Manneback, P. (2019). Towards a Semantic Video Analysis using Deep Learning and Ontology [Paper presentation]. The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. |
Gafour, Y., Berrabah, D., & Mahmoudi, S. (2019). Robust Facial Recognition Using Extended Local Binary Patterns [Paper presentation]. The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. |
 | Debauche, O., Mahmoudi, S., & Mahmoudi, S. (2019). Internet of Things: learning and practices. Application to Smart City [Paper presentation]. The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. doi:10.1109/CloudTech.2018.8713337 |
Bornia, J., Frihida, A., Mahmoudi, S., & Manneback, P. (2019). Towards a Semantic Video Analysis using Deep Learning and Ontology [Paper presentation]. IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET'2019), Hammamet, Tunisia. |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (15 March 2019). WALLESMART : Enter wallon rearing into the 4.0 digital revolution [Poster presentation]. Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2019). A New Parallel and Distributed Approach for Large Scale Images Retrieval. Lecture Notes in Network and Systems. Intelligent Technologies and Robotics. Peer reviewed |
Mahmoudi, S., Belarbi, M. A., & Manneback, P. (2019). Towards a Smart Exploitation of GPUs for Low Energy Motion Estimation Using Full HD and 4K Videos. Lecture Notes in Network and Systems. Intelligent Technologies and Robotics. Peer reviewed |
Mahmoudi, S. (2018). Vers une approche intelligente et à faible énergie consommée pour le traitement d'objets multimédia. Polytech News 57. |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (05 November 2018). Cloud Platform using Big Data and HPC Technologies for Distributed and Parallels Treatments. Procedia Computer Science, 141, 112-118. doi:10.1016/j.procs.2018.10.156 Peer reviewed |
 | Mahmoudi, S., Belarbi, M. A., El Adoui, M., Larhmam, M., & Lecron, F. (2018). Real Time Web-based Toolbox for Computer Vision. Journal of Science and Technology of the Arts. Peer reviewed vérifié par ORBi |
 | Debauche, O., Mahmoudi, S., Belarbi, M. A., El Adoui, M., & Mahmoudi, S. (2018). Internet of Things: learning and practices: Application to Smart Home [Paper presentation]. International Conference on Advanced Communication Technologies and Networking (CommNet'18), Marrakech, Morocco. doi:10.1109/COMMNET.2018.8360247 |
Mahmoudi, S., Belarbi, M. A., Ammar, M., Abbou, A., & Mahmoudi, S. (2018). GPU-Low-Energy Tracking of the Left Ventricle in the Cloud. Lecture Notes in Computer Science. Peer reviewed |
 | Kasmi, N., Mostapha, Z., Mahmoudi, S., & Manneback, P. (2018). WT_ DMDA New Scheduling strategy for Conjugate Gradient Solver on Heterogeneous. International Journal of Autonomic Computing. Peer reviewed |
 | Mahmoudi, S. (09 April 2018). The use of HPC and Cloud resources for Deep Learning [Paper presentation]. Deep Learning INDABA, Tlemcen, Algeria. |
 | Mahmoudi, S., & Belarbi, M. A. (01 March 2018). Multimedia Indexation using Deep Learning in Big Data (MIDL) [Paper presentation]. eNTERFACE'18: eNTERFACE Summer Workshops, Louvain-la-Neuve, Belgium. |
 | Mahmoudi, S., & Belarbi, M. A. (2018). Towards a Smart Selection of Cloud Resources for Multimedia Big Data Computing. In 3rd NESUS Winter School and PhD Symposium on Data Science and Heterogeneous Computing. COST IC 1305. |
 | Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2018). CBIR in cloud with large scale images. In 3rd NESUS Winter School and PhD Symposium on Data Science and Heterogeneous Computing. COST IC 1305. |
Mahmoudi, S. (2017). Real Time Web-based Toolbox for High Performance Computer Vision. Polytech News. |
 | Mahmoudi, S., & Manneback, P. (2017). Chapitre de cours d'Informatique Parallèle et Distribuée (I-INFO-009) : Introduction au Cloud Computing: Chapitre 7: Introduction au Cloud Computing. |
 | Mahmoudi, S., & Benjelloun, M. (2017). Chapitre de cours de bases de données (I-INFO-024) : Technologies du Big Data. |
 | Mahmoudi, S., & Mahmoudi, S. (2017). Chapitre de cours de Multimedia Rertrieval and Indexation (I-INFO-014) : Cloud and GPU for Multimedia Retrieval: Chapitre 7 : Cloud & GPU for Multimedia Retrieval. |
 | Mahmoudi, S., Manneback, P., Bagein, M., & Roland, F. (2017). Notes de laboratoire. Informatique Parallèle et Distribuée. |
 | Mahmoudi, S., & Manneback, P. (2017). Chapitre de cours d'Informatique Parallèle et Distribuée (I-INFO-009) : Programmation des processeurs graphiques: Chapitre 6 : Programmation des processeurs graphiques. |
 | Debauche, O., Mahmoudi, S., Manneback, P., Massinon, M., Tadrist, N., Lebeau, F., & Mahmoudi, S. (2017). Cloud architecture for digital phenotyping and automation [Paper presentation]. CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco. doi:10.1109/CloudTech.2017.8284718 |
Belarbi, M. A., Mahmoudi, S., Belalem, G., & Mahmoudi, S. (2017). Web-based Multimedia Research and Indexation for Big Data Databases [Paper presentation]. CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco. |
Mahmoudi, S. (2017). Parallel and Distributed solutions using GPU and Cloud platforms (PDGC). |
Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2017). Towards a Smart Selection of Resources in the Cloud for Low-energy Multimedia Processing. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
 | Kasmi, N., Mostapha, Z., Mahmoudi, S., & Manneback, P. (31 August 2017). Performance Evaluation and Analysis for Conjugate Gradient Solver on Heterogeneous (Multi-GPUs/Multi-CPUs) platforms. International Journal of Computer Science and Network Security, 17 (8), 206-215. Peer reviewed |
Mahmoudi, S., El Adoui, M., Belarbi, M. A., Larhmam, M., & Lecron, F. (2017). Cloud-based Platform for Computer Vision Applications [Paper presentation]. International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco. |
Mahmoudi, S., Lecron, F., Wilmet, V., & Mahmoudi, S. (2017). Fusion based computer-aided biopsy for early diagnosis of liver cancer. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
Mahmoudi, S. (2017). Cloud-based Toolbox for Medical Imaging & Computer Vision Applications. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (07 March 2017). Dimensionality Reduction in Large Scale Image Databases [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgique, 2017, Mons, Belgium. |
Mahmoudi, S., & Belarbi, M. A. (24 February 2017). Cloud-based High Performance Multimedia Processing [Paper presentation]. Second NESUS Winter School & PhD Symposium 2017, . |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (01 February 2017). Dimensionality Reduction in Large Scale Image [Paper presentation]. Second NESUS Winter School & PhD Symposium 2017, . |
Mahmoudi, S. (2016). Reconstruction de densité et de microarchitecture osseuses en 3D à partir de simples radiographies. |
 | Mahmoudi, S. (2016). Towards a Smart Selection of Resources for Low-energy Multimedia Processing [Paper presentation]. The 2nd International Conference on Cloud Computing Technologies and Applications - CloudTech'16, Marrakech, Morocco. |
 | Mahmoudi, S., Ammar, M., Luque Joris, G., & Abbou, A. (2016). Real Time GPU-Based Segmentation and Tracking of the Left Ventricle on 2D Echocardiography. In International work-conference on bioinformatics and bimedical engineering. Springer. |
 | Mahmoudi, S., Ammar, M., Luque Joris, G., & Abbou, A. (2016). Real Time GPU-Based Segmentation and Tracking of the Left Ventricle on 2D Echocardiography. Bioinformatics and Biomedical Engineering. Peer reviewed |
 | Mahmoudi, S., & Manneback, P. (2016). Towards a Smart Selection of Hybrid Platforms for Multimedia Processing. In Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems. |
 | Kasmi, N., Mostapha, Z., Mahmoudi, S., & Manneback, P. (2015). Taking Advantage of GPU/CPU Architectures for Sparse Conjugate Gradient Solver Computation [Paper presentation]. Third World Conference on Complex Systems, Marrakech, Morocco. |
 | Mahmoudi, S., Da Cunha Possa, P., Ravet, T., Drugman, T., Chessini Bose, R., Dutoit, T., & Valderrama, C. (01 October 2015). Sensor-based Framework for Automatic Cough Detection and Classification. Advances in Intelligent Systems and Computing, 7 (2015). |
Mahmoudi, S., & Manneback, P. (31 May 2015). Traitement Temps Réel d'Images et de Vidéos de Haute Définition sur GPU Multiples [Paper presentation]. Journée Calcul Intensif. Colloque sur l'Optimisation et les Systèmes d'Information COSI'2015, Oran, Algeria. |
Mahmoudi, S. (2015). Multi-CPU/Multi-GPU Based Framework for Multimedia Processing. In Computer Science and Its Applications. Springer. |
Mahmoudi, S., & Manneback, P. (15 May 2015). Multi-CPU/Multi-GPU Based Framework for Multimedia Processing. IFIP Advances in Information and Communication Technology, 456 (2015), 54-65. Peer reviewed vérifié par ORBi |
Kasmi, N., & Mahmoudi, S. (10 March 2015). Taking Advantage of Heterogeneous Architectures for Conjugate Gradient Solver Computation [Poster presentation]. 8ème édition de la Matinée des Chercheurs 2015 (MdC2015), Mons, Belgium. |
 | Mahmoudi, S. (27 February 2015). Multi-GPU based framework for real-time motion analysis and tracking in multi-user scenarios. EAI Endorsed Transactions. Creative Technologies, 2 (2), 1-10. Peer reviewed |
Dutoit, T., Valderrama, C., Drugman, T., & Mahmoudi, S. (2015). Vers une estimation qualitative et quantitative automatisée de la toux. Polytech News N° 51. |
Mahmoudi, S., & Manneback, P. (13 November 2014). Multi-CPU-GPU based Image and Video processing [Paper presentation]. Séminaire, Master 2 calcul scientifique, Lille, France. |
 | Larhmam, M., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (2014). A Portable Multi-CPU/Multi-GPU based Vertebra Localization in Sagittal MR Images. Lecture Notes in Computer Science, (2014), 209-218. Peer reviewed |
 | Kasmi, N., Mahmoudi, S., Zback, M., & Manneback, P. (2014). Performance evaluation of sparse matrix-vector product (SpMV) computation on GPU architecture [Paper presentation]. WCCS14, Agadir, Morocco. |
 | Possa, P., Mahmoudi, S., Harb, N., Valderrama, C., & Manneback, P. (10 October 2014). A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection. IEEE Transactions on Computers, 63 (10, Oct 2014), 2376-2388. doi:10.1109/TC.2013.130 Peer reviewed vérifié par ORBi |
 | Frisson, C., Riche, N., Coutrot, A., Delestage, C.-A., Dupont, S., Ferhat, O., Guyade, N., Mahmoudi, S., Mancas, M., Mital, P. K., Ech aniz, A. P., Rocca, F., Rochette, A., & Yvart, W. (2014). Auracle: how are salient cues situated in audiovisual content? The 10th International Summer Workshop on Multimedia Interfaces. |
 | Mahmoudi, S., & Manneback, P. (2014). Tutoriel : Traitement Temps Réel d'Images et de Vidéos de Haute Définition sur GPU Multiples [Paper presentation]. ComPas'2014. Conférence en Parallélisme, Architecture et Système, Neuchâtel, Switzerland. |
Mahmoudi, S., & Manneback, P. (2014). MultiGPU based Event Detection and Localization using High Definition Videos [Paper presentation]. The 4th International Conference on Multimedia Computing and Systems (ICMCS'14), Marrakech, Morocco. |
Mahmoudi, S., Ozkan, E., Manneback, P., & Tosun, S. (2014). Taking Advantage of Heterogeneous Platforms in Image and Video Processing. In Complex HPC book (pp. 429-450). Wiley. |
Mahmoudi, S., Kierzynka, M., Manneback, P., & Kurowski, K. (25 March 2014). Real-time motion tracking using optical flow on multiple GPUs. Bulletin de l'Académie polonaise des sciences. Série des sciences techniques, 62 (1), 139-150. doi:10.2478/bpasts-2014-0016 Peer reviewed vérifié par ORBi |
Mahmoudi, S., Kierzynka, M., & Manneback, P. (2014). Real-Time GPU-Based Motion Detection and Tracking Using Full HD Videos. In Intelligent Technologies for Interactive Entertainment (pp. 12-21). Springer. |
Mahmoudi, S., & Manneback, P. (2013). Real time Multi-GPU-based Event Detection in High Definition Videos [Paper presentation]. The 5th International Conference on Electronics Engineering, Oran, Algeria. |
 | Mahmoudi, S., Kierzynka, M., & Manneback, P. (02 July 2013). Real-Time GPU-Based Motion Detection and Tracking Using Full HD Videos. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 124, 12-21. Peer reviewed |
Mahmoudi, S. (2013). Traitement efficace d'objets multimédias sur architectures parallèles et hétérogènes. Polytech News N° 49. |
Mahmoudi, S., & Manneback, P. (15 April 2013). Optical flow based motion tracking on multiple GPUs [Paper presentation]. 4th st Workshop of COST 0805 action. Open Network for High-Performance Computing on Complex Environments, Madrid, Spain. |
 | Mahmoudi, S. (14 March 2013). Pour une meilleure exploitation des architectures Multi-CPU/Multi-GPU Application au traitement d'objets multimédias [Paper presentation]. Formations CISM/CÉCI, Université de Louvain La Neuve, UCL, Belgium. |
 | Mahmoudi, S. (10 March 2013). For a smart processing of Full HD images and videos on Parallel and Heterogeneous Platforms [Poster presentation]. La matinée des chercheurs 2013, Mons, Belgium. |
 | Mahmoudi, S. (2013). Traitement Efficace d'Objets Multimédias sur Architectures Parallèles et Hétérogènes [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/41496 |
 | Mahmoudi, S., & Manneback, P. (2012). Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction [Paper presentation]. International Conference on Image Processing Theory Tools and Applications, Istanbul, Turkey. |
 | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2012). Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images [Paper presentation]. Biomedical Engineering International Conference, Biomeic, Tlemcen, Algeria. |
 | Da Cunha Possa, P., Mahmoudi, S., Harb, N., & Valderrama, C. (29 August 2012). A New Self-Adapting Architecture for Feature Detection. Lecture Notes in Computer Science, 978-1-4673-2257-7 (2012(22) Oslo), 643 - 646. doi:10.1109/FPL.2012.6339230 Editorial reviewed |
 | Mahmoudi, S., Manneback, P., Augonnet, C., & Thibault, S. (21 June 2012). Traitements d'images sur architectures parallèles et hétérogènes : Traitement hétérogène d'images. Technique et Science Informatiques, 31/8-10 - 2012 (8-9-10/2012), 1183-1203. doi:10.3166/tsi.31.1183-1203 Peer reviewed |
Mahmoudi, S., & Manneback, P. (18 April 2012). GPU-based real time motion tracking in high definition videos [Paper presentation]. 3rd Workshop of COST action IC805. Open Network for High-Performance Computing on Complex Environments, Gênes, Italy. |
Mahmoudi, S., & Manneback, P. (26 January 2012). Image and Video Processing on Parallel (GPU) and Heterogeneous Architectures [Paper presentation]. 2nd Workshop of COST 0805 Open Network for High-Performance Computing on Complex Environments, Timisoara, Romania. |
 | Lecron, F., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (15 August 2011). Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images. International Journal of Biomedical Imaging, Volume 2011, (10.1155/2011), 1-12. doi:10.1155/2011/640208 Peer reviewed vérifié par ORBi |
Mahmoudi, S. (27 June 2011). Traitement d'Objets Multimédia sur Architectures Multi-coeurs Hétérogènes (Multi-CPU/Multi-GPU) [Paper presentation]. Séminaire en Informatique. Invité, INRIA Grenoble, France. |
 | Mahmoudi, S. (21 June 2011). Calcul Intensif sur GPU: Application au Traitement d'Objets Multimédia [Poster presentation]. Journée des doctorants GRASCOMP, Liège, Belgium. |
Bagein, M., fremal, S., Mahmoudi, S., Noël, S., & Manneback, P. (2011). GPU ? Vous avez dit GPU ? Polytech News N° 45. |
 | Mahmoudi, S., Manneback, P., Augonnet, C., & Thibault, S. (2011). Détection optimale des coins et contours dans des bases d'images volumineuses sur architectures multicoeurs hétérogènes [Paper presentation]. 20èmes Rencontres Francophones de l'Informatique Parallèle, Saint-Malo, France. |
Mahmoudi, S., & Manneback, P. (28 April 2011). Multimedia Processing on Parallel Heterogeneous Architectures (Multi-CPU/Multi-GPU) [Paper presentation]. Groupe de Contact FNRS 'Calcul Intensif ', Liège, Belgium. |
 | Mahmoudi, S., Fremal, S., Bagein, M., & Manneback, P. (2011). Calcul intensif sur GPU: exemples en traitement d'images, en bioinformatique et en télécommunication [Paper presentation]. CIAE 2011 : Colloque d'Informatique, automatique et electronique, Casablanca, Morocco. |
 | Dupont, S., Frisson, C., Urbain, J., Mahmoudi, S., & Siebert, X. (01 March 2011). MEDIABLENDER : INTERACTIVE MULTIMEDIA SEGMENTATION. Quarterly Progress Scientific Report of the Numediart Research Program, 4 (1), 1-6. |
 | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2010). GPU-based segmentation of cervical vertebra in X-Ray images [Paper presentation]. IEEE International Conference on Cluster Computing, Crete, Greece. |
 | Mancas, M., Ben Madhkour, R., Mahmoudi, S., & Ravet, T. (31 March 2010). VirTrack: Tracking for Virtual Studios: VirTrack: Tracking for Virtual Studios. Quarterly Progress Scientific Report of the Numediart Research Program, 3 (1), 1-4. |
Mahmoudi, S., & Manneback, P. (02 December 2009). Traitements d'images sur GPU sous CUDA et OpenGL: application à l'imagerie médicale [Paper presentation]. CIGIL09, Calcul intensif et grilles informatiques, USTL, Lille, France, Lille, France. |
Mahmoudi, S., Manneback, P., Lecron, F., Benjelloun, M., & Mahmoudi, S. (19 October 2009). Parallel image processing with CUDA and OpenGL [Paper presentation]. 1st scientific workshop, open network for high-performance computing on complex environments, action cost 805, Lisbon, Portugal, Lisbon, Portugal. |
Mahmoudi, S., & Manneback, P. (18 June 2009). Traitement d'images en parallèle avec cuda et opengl sur gpu [Poster presentation]. Nouveaux outils pour le traitement d'image et la vision par ordinateur, Figeac, France. |
Mancas, M., Ravet, T., Mahmoudi, S., Hidot, S., Tilmanne, J., Chessini Bose, R., & Machy, C. (31 March 2009). Natural interaction between real and virtual world. Quarterly Progress Scientific Report of the Numediart Research Program, 2 (1), 1-8. |
 | Mahmoudi, S. (17 March 2009). Calcul intensif Gpgpu [Poster presentation]. Matinée des chercheurs 2009, Mons, Belgium. |
 | Mancas, M., Bagein, M., Guichard, N., Hidot, S., Machy, C., Mahmoudi, S., & Siebert, X. (01 December 2008). Project # 4.3 : augmented virtual studio. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (4), 147-155. |
 | Mahmoudi, S., Haidar, S., Ihaddadene, N., & Djeraba, C. (2008). Abnormal Event Detection in Real Time Video [Paper presentation]. First International Workshop on Multimodal Interactions Analysis of Users in a Controlled Environment, Island of Crete, Greece. |
