2024

• 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
  • electronics-13-00976-v2.pdf
• Ouardirhi, Z., Mahmoudi, S., & Zbakh, M. (February 2024). Enhancing Object Detection in Smart Video Surveillance: A Survey of Occlusion-Handling Approaches. "Electronics (Switzerland), 13" (3), 541. doi:10.3390/electronics13030541
  • electronics-13-00541.pdf
• 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
  • LeastLD_Reviewed_Clean_Final.pdf
• Lerat, J.-S., & Mahmoudi, S. (2024). Architecture to Distribute Deep Learning Models on Containers and Virtual Machines for Industry 4.0*. "CloudTech'23".
  • _CloudTech23_paper_8309.pdf

• 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
  • 2024172918.pdf

• 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.
  • 124254.pdf

2023

• 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
  • electronics-13-00175.pdf
• 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
  • CloudTech23_paper_5320.pdf
• 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".
  • Lerat.pdf
• 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
  • electronics-12-02027.pdf
• 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).
  • Lerat.pdf

• 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
• 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
  • ICSCA.pdf
• 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.
  • _ES2023-163.pdf
  • ESANN_HSSIM (2).pdf
• Amel, O., Stassin, S., Mahmoudi, S., & Siebert, X. (2023). Multimodal Approach for Harmonized System Code Prediction. In "ESANN 2023 proceedings" (31st). i6doc.com.
  • _ES2023-165.pdf
  • ES2023_WED_16_34_165_Amel_poster (1) (1).pdf
• 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
  • _Englebert_Explaining_Through_Transformer_Input_Sampling_ICCVW_2023_paper.pdf
  • TiS__Transformer_Input_Sampling (3).pdf

• 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
  • Architecture_to_Distribute_Deep_Learning_Models_on_Containers_and_Virtual_Machines_for_Industry_4_0.pdf
• 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
  • Distributed_Deep_Learning__From_Single_Node_to_Multi_Node_Architecture.pdf

• Benkedadra, M., & Mahmoudi, S. (2023). "InfraSecure : a Danger Detection Solution for Construction Sites" [Paper presentation]. Hannover Messe 2023, Hannover, Germany.

• 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.

• Mahmoudi, S. (23 June 2023). "Review of DNN optimization and compression methods for Edge AI systems" [Paper presentation]. Trail Seminars, Belgium.
  • mahmoudi.pdf
• 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. (06 May 2023). "AI and Deep Learning challenges XAI and Edge AI" [Paper presentation]. INDABA x Algeria.
  • IndabaxAlgeria_Presentation_Sidi_2023 (1).pdf

2022

• 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
  • ICSCA.pdf
• 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".
  • Deep Convolutional Neural Networks (CNN) for lesions localization of in mammograms - XavierLessage.pdf
• 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
  • BDCC-06-00054.pdf
• Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2022). Distributed Deep Learning: From Single-Node to Multi-Node Architecture. "Electronics". doi:10.3390/electronics11101525
  • _electronics-11-01525.pdf
• 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).
  • electronics-11-01422.pdf
• 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
  • Artcile IJOCI.pdf

• Mahmoudi, S. (19 October 2022). "Explainable Artificial Intelligence “XAI”" [Paper presentation]. Industry meets Universities BIR&D, BRUXELLES, Belgium.
  • AI_XAI_Sidi_Mahmoudi_BiRD.pdf
• Mahmoudi, S. (19 October 2022). "CLEO : Computer-aided Low-dose Estimation of Osteoarticular Diseases" [Paper presentation]. Industry meets Universities BIR&D, Bruxelles, Belgium.
• Amel, O., Mahmoudi, S., & Siebert, X. (28 July 2022). "Multimodal learning for customs fraud detection and action recognition" [Paper presentation]. Deeplearn summer school 2022.
  • presentation_opensession_deeplearn2022.pdf
• 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.
• 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.
• Amel, O., Mahmoudi, S., Siebert, X., & Stassin, S. (30 March 2022). "Review of multimodal approaches" [Paper presentation]. Infortech day on Data science, Mons, Belgium.
• Mahmoudi, S. (02 February 2022). "Edge AI & Deep Learning" [Paper presentation]. Kick-off TRAIL/WP4, Mons, Belgium.

• 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.
  • Conference_BDIoT22_Zainab_Ouardirhi.pdf
• 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.
  • A comparative analysis of Convolution Neural Network models on Amazon Cloud Service.pdf

• 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".
  • Article_Errachidia_Paper_ICAISE22_Springer.pdf

• 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.
  • Poster-MdC2022-Lerat.pdf
• 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.
  • poster_indaba.pdf
• 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.
  • poster.pdf
• 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.
  • poster.pdf

• 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.
• 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.
  • Aurelie_COOLS_Poster_Infortech_2022.pdf

2021

• 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.
  • Explanable_DL_for_covid-19_detection.pdf
• 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
  • Covid_Chapter_Olivier_Debauche___Corrected_Proof(1).pdf
• 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
  • Covid_Chapter_Xavier_Lessage(1).pdf
• 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
  • Paper 01_ Explainable Deep Learning_Covid19.pdf

• 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.
  • Paper-01-2021_Article_CARS2021.pdf
• 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.
  • Abstract_CARS2021_-_Deep_Convolutional_Neural_Networks_(CNN)_for_classification_of_COVID-19_in_chest_X-ray_images_with_Explainable_Artificial_Intelligence_(XAI)__(1).pdf
• 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".
  • 1-s2.0-S2542660521000226-main1(1).pdf
• 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.
  • Paper-2_JUSPN20211502011017(13).pdf
• 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.
  • Karim-Mahmoudi-King-Saoud.pdf

• Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (27 July 2021). "Deep Learning Frameworks: Performances Analysis" [Paper presentation]. DeepLearn, Las Palmas de Gran Canaria, Spain.

• 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.
  • concours-posters-mdc2021.pdf

• 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

2020

• 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).
  • Multimedia_Processing_using_Deep_Learning_Technologies_HPC_Cloud_Resources_and_BigData_Volumes.tar
• 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".
  • 1-s2.0-S1877050920322869-main.pdf
• 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
  • 16649681.pdf
• 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
  • 1-s2.0-S1877050920323358-main(1).pdf
• 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
  • Roukh-Procedia-2020.pdf
• 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
  • 1-s2.0-S1877050920323309-main(1).pdf
• 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".
  • Khouani2020_Article_AutomatedRecognitionOfWhiteBlo.pdf
• 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
  • 1-s2.0-S1877050920316859-main(1).pdf
• 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
  • 1-s2.0-S1877050920316859-main(1).pdf
• 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
  • 1-s2.0-S1877050920317774-main.pdf
• 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
  • 1-s2.0-S1877050920322742-main(1).pdf
• 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".
  • Paper_1.pdf
• 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".
  • Paper_2.pdf

• 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.
• 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.
• 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.
  • paper_97.pdf
• 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., 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
  • EDIS2020__Edge_Computing_for_Cattle_Behavior_Analysis___Camera_Ready.pdf

• 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

2019

• 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
  • computers-08-00052.pdf
• Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. "Computers".
  • computers-08-00048_(1).pdf
• 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".
• 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".

• Mahmoudi, S. (16 November 2019). "IA et calcul à haute performance (HPC)" [Paper presentation]. Séminaire 'Professeur invité', Université Mohammed V, Rabat, Morocco.
• 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.

• 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
  • bare_conf.pdf
• 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.
  • CloudTech18_paper.pdf
• 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.

• 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.
• 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.
  • Infortech.pdf
• 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.
  • MdC_2019_Fabrice.pdf

• Mahmoudi, S., & Doukha, R. (2019). "Protocole de TP Cloud Computing".

• Debauche, O., & Mahmoudi, S. (2019). LE PIVOT INTELLIGENT SURVEILLE ET OPTIMISE LES BESOINS DES CULTURES. "Polytech News".
  • olivier_debauche_ref24(1).pdf

2018

• 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.
  • Mohammed Amin BELARBI Nesus Winter School Phd Symposium.pdf
• 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.
  • Abstract Sidi Ahmed Mahmoudi NESUS PHD Sympsium 2018.pdf

• 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
  • 1-s2.0-S1877050918318064-main.pdf
• 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".
  • 494-1527-1-PB.pdf
• 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".
• 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".
  • IJAC030104_KASMI_204288.pdf

• Mahmoudi, S. (09 April 2018). "The use of HPC and Cloud resources for Deep Learning" [Paper presentation]. Deep Learning INDABA, Tlemcen, Algeria.
  • The use of HPC and Cloud resources for Deep Learning.pdf
• 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.
  • Multimedia Indexation using Deep Learning in Big Data.pdf

• 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
  • 1570414767.pdf

• Mahmoudi, S. (2018). Vers une approche intelligente et à faible énergie consommée pour le traitement d'objets multimédia. "Polytech News 57".

2017

• 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".
• 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.
  • IJCSNS paper .pdf
• 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".

• 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, .

• 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
  • CloudTech17-Paper_34_Camera-02.pdf
• 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., 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.

• 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., & Manneback, P. (2017). "Chapitre de cours d'Informatique Parallèle et Distribuée (I-INFO-009) : Introduction au Cloud Computing: Chapitre 7: Introduction au Cloud Computing".
  • Cours Sidi Ahmed Mahmoudi_ UMons_Cloud_Partie 1 New.pdf
• Mahmoudi, S., & Benjelloun, M. (2017). "Chapitre de cours de bases de données (I-INFO-024) : Technologies du Big Data".
  • Cours Sidi Ahmed Mahmoudi_ UMons_BigData_New.pdf
• Mahmoudi, S., Manneback, P., Bagein, M., & Roland, F. (2017). "Notes de laboratoire. Informatique Parallèle et Distribuée".
  • IPD Complement New.pdf
• 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".
  • Cours Sidi Ahmed Mahmoudi_ UMons_New.pdf
• 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".
  • Cours Sidi Ahmed Mahmoudi_ UMons_Cloud_MIR.pdf

• Mahmoudi, S. (2017). Real Time Web-based Toolbox for High Performance Computer Vision. "Polytech News".

• Mahmoudi, S. (2017). "Parallel and Distributed solutions using GPU and Cloud platforms (PDGC)".
• Mahmoudi, S. (2017). "Cloud-based Toolbox for Medical Imaging & Computer Vision Applications".

2016

• 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.
  • IWBBIO.pdf
• 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".
  • towards_nesus_2016.pdf

• 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".
  • IWBBIO.pdf

• 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.
  • Final_Version_Paper_SidiAhmedMahmoudi.pdf

• Mahmoudi, S. (2016). "Reconstruction de densité et de microarchitecture osseuses en 3D à partir de simples radiographies".

2015

• 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).
  • ICT_Innovations_2015_submission_90.pdf

• 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.
• 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.
  • ct.2.2.e5.pdf

• 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.

• 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.
  • WCCS15.pdf

• 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.

• Dutoit, T., Valderrama, C., Drugman, T., & Mahmoudi, S. (2015). Vers une estimation qualitative et quantitative automatisée de la toux. "Polytech News N° 51".

2014

• 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".
  • enterface14_report_auracle.pdf

• 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. (2014). Real-Time GPU-Based Motion Detection and Tracking Using Full HD Videos. In "Intelligent Technologies for Interactive Entertainment" (pp. 12-21). Springer.

• 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.
  • ICIAR2014_Spine_Localization.pdf
• 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
  • IEEE_Trans.pdf
• 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

• Mahmoudi, S., & Manneback, P. (13 November 2014). "Multi-CPU-GPU based Image and Video processing" [Paper presentation]. Séminaire, Master 2 calcul scientifique, Lille, France.

• 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.
  • WCCS14.pdf
• 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.
  • Tutoriel Sidi Ahmed Mahmoudi ComPAS2014.pdf
• 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.

2013

• 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.
  • Intetain2013.pdf

• 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.
  • Pour une meilleure exploitation des architectures parallèles et hétérogènes ' Application au traitement d'objets multimédias'.pdf

• 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. (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.
  • Poster MDC 2013 For a Smart Processing.pdf

• 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
  • these.pdf

• Mahmoudi, S. (2013). Traitement efficace d'objets multimédias sur architectures parallèles et hétérogènes. "Polytech News N° 49".

2012

• 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
  • FPL.pdf

• 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
  • documentation 2.pdf

• 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.

• 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.
  • Efficient Exploitation of Heterogeneous Platforms.PDF
• 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.
  • Efficient Exploitation of Heterogeneous Platforms for Vertebra Segmentation in X-Ray Images.pdf

2011

• 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
  • 640208.pdf
• 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.
  • numediart_2011_s13_p1_report.pdf

• 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., & 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., 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.
  • Détection optimale des coins et contours dans des bases d'images volumineuses sur architectures multicoeurs hétérogènes.pdf
• 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.
  • Calcul Intesif sur GPU.pdf

• Mahmoudi, S. (21 June 2011). "Calcul Intensif sur GPU: Application au Traitement d'Objets Multimédia" [Poster presentation]. Journée des doctorants GRASCOMP, Liège, Belgium.
  • Poster_journée_des_Doctorants_à_Liège_Sidi_Mahmoudi.pdf

• Bagein, M., fremal, S., Mahmoudi, S., Noël, S., & Manneback, P. (2011). GPU ? Vous avez dit GPU ? "Polytech News N° 45".

2010

• 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.
  • numediart_2010_s09_p1_report.pdf

• 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.
  • 2010_SaM_FL_PM_MB_SM_IEEE.pdf

2009

• 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., & 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.
• Mahmoudi, S. (17 March 2009). "Calcul intensif Gpgpu" [Poster presentation]. Matinée des chercheurs 2009, Mons, Belgium.
  • MDC 2009. Sidi Mahmoudi.pdf

2008

• 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.
  • AVS.PDF

• 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.
  • MIAUCE-04.pdf

Sous presse

• 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".
  • Multimedia Processing using Deep Learning Technologies, HPC Cloud Resources and BigData Volumes.pdf