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
• 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

• 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.

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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 presented at 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 presented at 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., 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 presented at 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 session presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at ID2Move Belgian Academic Seminar Autonomous Systems, Nivelles, Belgium.

• Benjelloun, M., El Adoui, M., LARHMAM, M. A., & Mahmoudi, S. (2019). "Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning". Paper presented at The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium.
  • CloudTech18_paper.pdf
• Bornia, J., Mahmoudi, S., Frihida, A., & Manneback, P. (2019). "Towards a Semantic Video Analysis using Deep Learning and Ontology". Paper presented at 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 presented at 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 presented at The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. doi:10.1109/CloudTech.2018.8713337
  • bare_conf.pdf
• Bornia, J., Frihida, A., Mahmoudi, S., & Manneback, P. (2019). "Towards a Semantic Video Analysis using Deep Learning and Ontology". Paper presented at 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 session presented at 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 session presented at 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 session presented at 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 session presented at 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

• 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
• 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

• 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 of the Polish Academy of Sciences. Technical Sciences, 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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". Unpublished doctoral thesis, Université de Mons. Jury: .
  • 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 presented at 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 presented at 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 presented at 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 session presented at Nouveaux outils pour le traitement d'image et la vision par ordinateur, Figeac, France.
• Mahmoudi, S. (17 March 2009). "Calcul intensif Gpgpu". Poster session presented at 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 presented at First International Workshop on Multimodal Interactions Analysis of Users in a Controlled Environment, Island of Crete, Greece.
  • MIAUCE-04.pdf

Sous presse

• 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
  • Paper 01_ Explainable Deep Learning_Covid19.pdf

• 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