Mahmoudi, S. (25 November 2025). Hands on XAI and Edge AI [Paper presentation]. CloudTech'25, Rabat, Morocco. |
Mahmoudi, S. (November 2025). Key challenges of modern DNN models: compression, explainability and multimodal learning [Paper presentation]. CloudTech'25.  Editorial reviewed |
  | Khiat, S., MAHMOUDI, S., STASSIN, S., Boukerroui, L., Senaï, B., & MAHMOUDI, S. (09 April 2025). An Efficient Explainability of Deep Models on Medical Images. Algorithms, 18 (4), 210. doi:10.3390/a18040210 Peer Reviewed verified by ORBi |
Mahmoudi, S., & Benkedadra, M. (2025). L’IA au service de la sécurité des chantiers [Paper presentation]. Mobiwall. |
Mahmoudi, S. (2025). L'IA embarquée et explicable au service de l'industrie et la sécurité [Paper presentation]. Evenènement Technofutur : Transformez la construction routière avec l’IA : optimisez, innovez, réduisez les coûts, Charleroi, Belgium. |
  | Cools, A., Belarbi, M. A., & MAHMOUDI, S. (2025). CAReNet: A Promising AI Architecture for Low Data Regime Mixing Convolutions and Attention. In Lecture Notes in Networks and Systems. Springer Nature Switzerland. doi:10.1007/978-3-031-78698-3_3 Peer reviewed |
OUARDIRHI, Z., MAHMOUDI, S., & Zbakh, M. (2025). Holistic Approach for Enhanced Object Recognition in Complex Environments. In Lecture Notes in Networks and Systems. Springer Nature Switzerland. doi:10.1007/978-3-031-78698-3_14 Peer reviewed |
 | Mahmoudi, S., Gloesener, M., Benkedadra, M., & Lerat, J.-S. (2025). Edge AI System for Real-Time and Explainable Forest Fire Detection Using Compressed Deep Learning Models. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, 847-854. doi:10.5220/0013382500003912 Peer reviewed |
Mahmoudi, S., Gloesener, M., & Benkedadra, M. (2025). Edge AI for securing railway stations and construction sites [Paper presentation]. Hannover Messe, Hannover, Germany. |
 | Lerat, J.-S., & Mahmoudi, S. (2025). Scalable Deep Learning for Industry 4.0: Speedup with Distributed Deep Learning and Environmental Sustainability Considerations. In Lecture Notes in Networks and Systems. Switzerland: Springer Nature Switzerland. doi:10.1007/978-3-031-78698-3_10 Peer reviewed |
Mahmoudi, S. (2024). AI implementations in industry and logistics [Paper presentation]. Tracetebel Engie Seminar. |
 | Rahmani, T. A., Belalem, G., Mahmoudi, S., & Merad-Boudia, O. R. (25 October 2024). Equalizer: Energy-efficient machine learning-based heterogeneous cluster load balancer. Concurrency and Computation: Practice and Experience, 36 (23). doi:10.1002/cpe.8230 Peer Reviewed verified by ORBi |
Mahmoudi, S. (2024). Immersion dans le domaine d'intelligence artificielle embarquée [Paper presentation]. Ingénieur civil : d’une solution à l’autre. |
Benkedadra, M.* , & Mahmoudi, S.*. (2024). InnoTrans [Paper presentation]. Innotrans 2024, Berlin, Germany. * These authors have contributed equally to this work. |
 | Benkedadra, M., Rimez, D., Godelaine, T., Chidambaram, N., Khosroshahi, H. R., Tellez, H., Mancas, M., Macq, B., & Mahmoudi, S. (2024). CIA: Controllable Image Augmentation Framework Based on Stable Diffusion. IEEE Access, 600-606. doi:10.1109/mipr62202.2024.00102 Peer Reviewed verified by ORBi |
 | Amel, O., Siebert, X., & Mahmoudi, S. (12 June 2024). Comparison Analysis of Multimodal Fusion for Dangerous Action Recognition in Railway Construction Sites. Electronics (Switzerland), 13 (12), 2294. doi:10.3390/electronics13122294 Peer reviewed |
Amel, O., Mahmoudi, S., & Siebert, X. (29 May 2024). Multimodal Fusion for Dangerous Action Recognition in Railway Construction Sites [Paper presentation]. Infortech Day 2024, Mons, Belgium. Editorial reviewed |
Stassin, S.* , ENGLEBERT, A.* , Amel, O.* , Siebert, X., & Mahmoudi, S. (29 May 2024). Explaining Through Multimodal Transformer Input Sampling [Paper presentation]. Infortech Day 2024, Mons, Belgium. Editorial reviewed* These authors have contributed equally to this work. |
Ouardirhi, Z., Mahmoudi, S., & Mostapha Zbakh. (29 May 2024). FuDensityNet: A Fusion-Based Network for Density-Enhanced Occlusion Handling [Paper presentation]. INFORTECH Day 2024, Mons, Belgium. Editorial reviewed |
Mahmoudi, S., & Draye, J.-P. (2024). From Labs to Launch: How CTOs Can Leverage University Partnerships [Paper presentation]. VivaTech, Paris, France. |
 | Thiebaut, E., Lecron, F., & Mahmoudi, S. (21 May 2024). Vers un jeu plus responsable : Identifier les facteurs de risques d’addiction à l’aide de Machine Learning [Poster presentation]. 10e Journée scientifique du Pôle Hainuyer, Mons, Belgium. |
Benkedadra, M., & Mahmoudi, S. (22 April 2024). Project Field Worker Protection [Paper presentation]. Hannover Messe, Hannover, Germany. Editorial reviewed |
 | 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 verified by ORBi |
 | Ouardirhi, Z.* , Amel, O., Zbakh, M., & Mahmoudi, S. (28 February 2024). FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling. Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Volume 3, 3, 632-639. doi:10.5220/0012425400003660 Peer reviewed |
 | Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (February 2024). Enhancing Object Detection in Smart Video Surveillance: A Survey of Occlusion-Handling Approaches. Electronics, 13 (3), 541. doi:10.3390/electronics13030541 Peer Reviewed verified by ORBi |
 | 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 verified by ORBi |
 | Lessage, X., Hammas, B., Mahmoudi, S., Murgo, S., & Mahmoudi, S. (2024). Automatic anomalies detection and labeling from complete mammographies: a retrospective study. 2024 8th International Conference on Biomedical Engineering and Applications (ICBEA). doi:10.1109/ICBEA62825.2024.00010 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 verified by ORBi |
  | Lerat, J.-S., & Mahmoudi, S. (2023). Scalable Deep Learning for Industry 4.0: Speedup with Distributed Deep Learning and Environmental Sustainability Considerations. 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). doi:10.1007/978-3-031-78698-3_10 Peer reviewed |
 | 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. (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 verified by ORBi |
 | 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 verified by 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 verified by 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. ACM International Conference on Interactive Media Experiences 2023. 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. |
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. |
Stassin, S., Amel, O., Siebert, X., & Mahmoudi, S. (24 May 2023). Best Approaches for Customs Fraud Detection [Paper presentation]. Infortech Day. |
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. (13 May 2023). Transition digitale : opportunités et défis pour la sécurité alimentaire : IA au service de la sécurité alimentaire [Paper presentation]. Transition digitale : opportunités et défis pour la sécurité alimentaire. Editorial reviewed |
 | 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 verified by 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. 2023 International Conference on Smart Computing and Application (ICSCA). doi:10.1109/ICSCA57840.2023.10087604 Peer reviewed |
 | Amel, O., Stassin, S., Mahmoudi, S., & Siebert, X. (2023). Multimodal Approach for Harmonized System Code Prediction. In ESANN 2023 proceedings. Peer reviewed |
 | Englebert, A., Stassin, S., Nanfack, G., Mahmoudi, S., Siebert, X., Cornu, O., & De Vleeschouwer, C. (2023). Explaining through Transformer Input Sampling. ICCV Workshop on New Ideas in Vision Transformers. 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. ESANN. 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. BDIOT'22. doi:10.1007/978-3-031-28387-1_25 Peer reviewed |
 | Mahmoudi, S. (19 October 2022). Explainable Artificial Intelligence “XAI” [Paper presentation]. Industry meets Universities BIR&D, BRUXELLES, Belgium. Editorial 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 |
 | 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 verified by ORBi |
 | Doukha, R., Mahmoudi, S., Mostapha Zbakh, & Manneback, P. (2022). A comparative analysis of Convolution Neural Network models on Amazon Cloud Service. Preceedings of The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing. 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 verified by 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 verified by 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 |
Amel, O., Mahmoudi, S., Siebert, X., & Stassin, S. (30 March 2022). Review of multimodal approaches [Paper presentation]. Infortech day on Data science, Mons, Belgium. |
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 |
 | 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. |
 | 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. |
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. (22 November 2021). Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience, 35 (14). Peer Reviewed verified by ORBi |
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 verified by 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 verified by 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 verified by ORBi |
 | 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 |
 | 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 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 |
 | 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 verified by ORBi |
 | 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 verified by 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 |
 | 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 |
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. |
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. |
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 verified by 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., & 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 |
 | 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 |
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 verified by 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 verified by 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., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (21 February 2020). Multimedia processing using deep learning technologies, high-performance computing cloud resources, and Big Data volumes. Concurrency and Computation: Practice and Experience, 32 (17). doi:10.1002/cpe.5699 Peer Reviewed verified by ORBi |
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 verified by ORBi |
 | Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. Computers. Peer Reviewed verified by 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. |
 | 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 |
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. |
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. |
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 |
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. (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 verified by 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., & Manneback, P. (2017). Chapitre de cours d'Informatique Parallèle et Distribuée (I-INFO-009) : Programmation des processeurs graphiques: Chapitre 6 : Programmation des processeurs graphiques. |
 | 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. |
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. |
 | 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 |
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 verified by 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 verified by 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 verified by 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 verified by 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 |
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 verified by ORBi |
 | 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 verified by 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. |
