Sidi Ahmed Mahmoudi

Biography

Sidi Ahmed Mahmoudi received the graduate engineering degree in computer science from the University of Tlemcen, Algeria, the master degree in multimedia processing from the Faculty of Engineering in Tours, France, and the PhD degree from the University of Mons, Belgium, in 2006, 2008, and 2013, respectively. Currently, Sidi Ahmed Mahmoudi is working as Professor at the University of Mons, Belgium. His research interests are focused on the development and deployment of AI, XAI and Edge AI models, the efficient exploitation of local and cloud computing resources (multi-CPU/ multi-GPU) architectures for multimedia processing and machine learning algorithms within Big Data volumes. Sidi Ahmed Mahmoudi is author or co-author in more than 150 international publications and was involved in more than 10 national and international projects.

Publications

A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection

IEEE Transactions on Computers, 2013

Sidi Ahmed Mahmoudi

A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection

MRI breast tumor segmentation using different encoder and decoder CNN architectures

A new edge architecture for ai-iot services deployment

Edge computing and artificial intelligence for real-time poultry monitoring

Real-time motion tracking using optical flow on multiple GPUs

Data management and internet of things: A methodological review in smart farming

Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning

Edge AI-IoT pivot irrigation, plant diseases, and pests identification

Heterogeneous computing for vertebra detection and segmentation in X‐ray images

GPU-based segmentation of cervical vertebra in X-ray images

Big data processing architecture for smart farming

Wheat varieties identification based on a deep learning approach

Toward a big data knowledge-base management system for precision livestock farming

Edge computing and artificial intelligence for landslides monitoring

Automated recognition of white blood cells using deep learning

Internet of Things: learning and practices. Application to Smart City

Big Data Storage and Analysis for Smart Farming

Multimedia processing using deep learning technologies, high‐performance computing cloud resources, and Big Data volumes

Multi-gpu based event detection and localization using high definition videos

Cloud architecture for digital phenotyping and automation

Sensor-based System for Automatic Cough Detection and Classification

Edge computing for cattle behavior analysis

Multi-CPU/multi-GPU based framework for multimedia processing

Detection of Abnormal Motions in Multimedia

Cloud architecture for plant phenotyping research

Efficient exploitation of heterogeneous platforms for images features extraction

Traitements d'images sur architectures parallèles et hétérogènes

Interaction between methanol and single-walled carbon nanotubes: Density functional theory study

Edge computing and artificial intelligence semantically driven. application to a climatic enclosure

A portable multi-CPU/multi-GPU based vertebra localization in sagittal MR images

A new self-adapting architecture for feature detection

Cloud platform using big data and hpc technologies for distributed and parallels treatments

Towards a smart selection of resources in the cloud for low‐energy multimedia processing

Abnormal event detection in real time video

Taking advantage of heterogeneous platforms in image and video processing

Real-time GPU-based motion detection and tracking using full HD videos

Cloud Computing and Big Data: Technologies, Applications and Security

Computer science and its applications

Towards landslides early warning system with fog-edge computing and artificial intelligence

Wallesmart: Cloud platform for smart farming

Real time GPU-based segmentation and tracking of the left ventricle on 2D echocardiography

Détection optimale des coins et contours dans des bases d'images volumineuses sur architectures multicœurs hétérogènes

Explainable deep learning for covid-19 detection using chest X-ray and CT-scan images

Cloud-based platform for computer vision applications

Performance evaluation of sparse matrix-vector product (SpMV) computation on GPU architecture

A review and comparative study of explainable deep learning models applied on action recognition in real time

Deployment of Containerized Deep Learning Applications in the Cloud

A new parallel and distributed approach for large scale images retrieval

Detection of abnormal motions in video

Cloud-based image retrieval using GPU platforms

Real time web-based toolbox for computer vision

Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis

Web-based Multimedia Research and Indexation for Big Data Databases

Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part I

Efficient exploitation of heterogeneous platforms for vertebra detection in X-ray images

Explainability and evaluation of vision transformers: An in-depth experimental study

Explaining through Transformer Input Sampling

A comparative study of reduction methods applied on a convolutional neural network

Chest x-ray images analysis with deep convolutional neural networks (cnn) for covid-19 detection

Towards a Smart Exploitation of GPUs for Low Energy Motion Estimation Using Full HD and 4K Videos

Performance evaluation and analysis for conjugate gradient solver on heterogeneous (Multi-GPUs/Multi-CPUs) platforms

Multi-GPU based framework for real-time motion analysis and tracking in multi-user scenarios

Calcul intensif sur GPU: exemples en traitement d’images, en bioinformatique et en télécommunication

Matrix: Natural interaction between real and virtual worlds

RTLB_Sched: Real Time Load Balancing Scheduler for CPU-GPU Heterogeneous Systems

HBalancer: A machine learning based load balancer in real time CPU-GPU heterogeneous systems

A Model Of A Biometric Recognition System Based On The Hough Transform Of Libor Masek and 1-D Log-Gabor Filter

Augmented virtual studio

Multimodal Approach for Harmonized System Code Prediction

Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0

A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval

Distributed deep learning: From single-node to multi-node architecture

Multi-Biometric Iris Recognition System Using Consensus Between Convolutional Neural Network Architectures

Towards a Semantic Video Analysis using Deep Learning and Ontology

Towards a Smart Selection of Cloud Resources for Multimedia Big Data Computing

Towards a smart selection of resources for low-energy multimedia processing

Towards a smart selection of hybrid platforms for multimedia processing

Auracle: how are salient cues situated in audiovisual content?

Enhancing Object Detection in Smart Video Surveillance: A Survey of Occlusion-Handling Approaches