Ahmed Nait Chabane
- Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires (LINEACT)
Présentation
Ahmed Nait Chabane est professeur assistant au CESI LINEACT à Saint-Nazaire, France. Il a obtenu son doctorat en 2013 à l'ENSTA Bretagne, en France, avec une spécialisation en traitement d'images et de signaux. Ses recherches portent sur l'optimisation multi-objectifs, la collaboration homme-robot et la planification des tâches dans les environnements industriels, en intégrant l'intelligence artificielle, des algorithmes de décision et l'analyse de données hétérogènes. Ses travaux sont notamment appliqués dans le domaine de l'inspection industrielle. Ses recherches en cours explorent l'optimisation de l'allocation et de la planification des tâches dans les systèmes multi-robots, en particulier dans les systèmes de production cyber-physiques. L'expertise d'Ahmed réside dans l'utilisation d'algorithmes bio-inspirés et de l'apprentissage automatique pour améliorer la collaboration et réduire la fatigue cognitive et physique des opérateurs dans les environnements industriels.
Compétences
Publications
Publications
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Calibration améliorée d'un capteur profileur laser pour l'inspection et la reconstruction 3DORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France |
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Human-Humanoid collaboration in manufacturing: opportunities and challenges in the context of industry 5.0The 52nd International Conference on. Computers and Industrial Engineering (CIE52), INSA Lyon, Oct 2025, Lyon, France |
Reconstruction-Based Methods for Multivariate Time Series Anomaly Detection : A Review and TaxonomyInternational Conference on Advances in Artificial Intelligence (ICAAI 2025), Nov 2025, Manchester, United Kingdom |
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Energy-Aware Optimization of Multi-Robot Systems with Task Allocation and Partial Recharge SchedulingInternational Conference on Control, Decision and Information Technologies (CoDIT), Jul 2025, Split - Croatia, Croatia. pp.2541-2546, ⟨10.1109/CoDIT66093.2025.11321551⟩ |
Enhanced Calibration of a Laser Profiler Sensor for 3D Inspection and Reconstruction2025 IEEE/SICE International Symposium on System Integrations (SII 2025), Jan 2025, Munich, Germany. ⟨10.1109/SII59315.2025.10871134⟩ |
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Task Allocation and Planning for Multi-Robot System Using an Improved Genetic AlgorithmInternational Conference of the African Federation of Operational Research Societies (AFROS 2024), Nov 2024, Tlemcen, Algeria |
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Fatigue Evaluation and Scheduling for Manual Tasks: A Break Planning Approach50th International Conference on Computers and Industrial Engineering, CIE 2023, Computers & Industrial Engineering: An International Journal, Oct 2023, Sharjah, United Arab Emirates |
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Optimizing Resource Allocation in the Flexible Job Shop Problem: Assessing the Impact of Rest Breaks on Task Strenuousness ReductionInternational Conference on Decision Aid Sciences and Applications (DASA), University of Badji Mokhtar in Annaba, Sep 2023, Annaba, Algeria. pp.320-325, ⟨10.1109/DASA59624.2023.10286783⟩ |
Visual and Chemical Servoing of a Hexapod Robot in a Confined Environment Using Jacobian EstimatorICRA 2021 : International Conference on Robotics and Autonomy, World Academy of Science, Engineering and Technology, Mar 2021, Paris, France |
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Forecasting KPIs of Production Systems Using LSTM Networks2021 1st International Conference On Cyber Management And Engineering (CyMaEn), May 2021, Hammamet, Tunisia. pp.1-6, ⟨10.1109/CyMaEn50288.2021.9497278⟩ |
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Multi-Objective Optimization for Electrical Demand Forecasting14th International Conference on Multiple Objective Programming and Goal Programming., Dec 2021, En ligne, France |
Multi-Objective Optimization of Active Human-Robot Collaboration: Case Study of the Aircraft IndustryThe 14 th International Conference on Multiple Objective Programming and Goal Programming, SKEMA Business School, France, Dec 2021, Online Sophia Antipolis, France |
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Fusion de capteurs à l’aide d’apprentissage automatique pour la localisation d’un drone dans un environnement contraintCONFERE 2018 25ème colloque des Sciences de la conception et de l'innovation, Arts et Métiers ParisTech, Laboratoire Conception Produits Innovation, Jul 2018, Budapest, Hungary |
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IMPROVEMENT OF AUV-BORNE SEABED MAPPING WITH QUALITY MAPS USING STATISTICAL ANALYSISUA 2014, Jun 2014, Rhodes, Greece |
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DYNAMIC SELF-ORGANIZING ALGORITHM FOR UNSUPERVISED SEGMENTATION OF SIDESCAN SONAR IMAGESUA 2014, Jul 2014, Corfu, Greece |
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Unsupervised Knowledge Discovery of Seabed Types using Competitive Neural Network: Application to Sidescan Sonar ImagesOceans'14, Sep 2014, St John's, Canada |
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Sidescan sonar imagery segmentation with a combination of texture and spectral analysisOCEANS'13, Jun 2013, France. pp.1-6, ⟨10.1109/OCEANS-Bergen.2013.6608096⟩ |
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SPECTRAL DIRECTIONAL FILTER BANK FOR SIDESCAN SONAR SEGMENTATION WITH UNSUPERVISED NEURAL NETWORK APPROACHUAC 2013 - 1st International Conference and Exhibition on Underwater Acoustics, Jun 2013, Corfu, Greece. pp.1451 |
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Range-independent segmentation of sidescan sonar images with unsupervised SOFM algorithm (self-organizing feature maps).ECUA 2012, Jul 2012, Edimburgh, United Kingdom |
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Segmentation invariante en rasance des images sonar latéral par une approche neuronale compétitiveAutre. Université de Bretagne occidentale - Brest, 2013. Français. ⟨NNT : 2013BRES0034⟩ |