Researcher-lecturer

NAIT CHABANE Ahmed

Contact

Email :
Phone number : +33 2 40 00 95 69

ResearchGate

Google Scholar

Campus CESI Saint-Nazaire
1 boulevard de l’Université
CS 70152
44603 Saint-Nazaire

Research team

Engineering and Numerical Tools

Background

  • Ph.D., Computer Science
    University of Western Brittany (UBO Brest) & ENSTA Bretagne, 2013

Research and teaching interests

  • Artificial Intelligence
  • Data Processing and Knowledge Extraction
  • Decisions Algorithms
  • Industry 4.0/5.0
  • Neural Network

Publications

  1. Ahmed Nait Chabane, Naveed Islam, and Benoit Zerr. Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory. Ocean Engineering, 142:133– 144, September 2017. doi: 10.1016/j.oceaneng.2017.06.061. URL https://ensta-bretagne.hal. science/hal-01699476.
  2. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. Segmentation des images sonar lat´eral assurant l’invariance en rasance. Traitement du Signal, 30(3-4-5/2013):119–148, October 2013a. doi: 10.3166/TS.30.119-148. URL https://hal.science/hal-00925170. WOS.
  3. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. Range-independent segmentation of sidescan sonar images with unsupervised SOFM Algorithm (Self-Organizing Feature Maps). Proceedings of meetings on acoustics, 17:070005, 2012a. doi: 10.1121/1.4764505. URL https: //hal.science/hal-04068261.
  4. Ahmed NAIT CHABANE, Pierre H´emono, M’Hammed Sahnoun, and Abderraouf Benali. Fatigue Evaluation and Scheduling for Manual Tasks: A Break Planning Approach. In 50th International Conference on Computers and Industrial Engineering (CIE 50), Sharjah, United Arab Emirates, October 2023. Computers & Industrial Engineering: An International Journal. URL https://hal. science/hal-04273200.
  5. Pierre Hémono, M’hammed Sahnoun, and Ahmed Nait Chabane. Optimizing Resource Allocation in the Flexible Job Shop Problem: Assessing the Impact of Rest Breaks on Task Strenuousness Reduction. In International Conference on Decision Aid Sciences and Applications (DASA), pages 320–325, Annaba, Algeria, September 2023. University of Badji Mokhtar in Annaba, IEEE. doi: 10.1109/DASA59624.2023.10286783. URL https://hal.science/hal-04247095.
  6. Pierre Hemono, Ahmed NAIT CHABANE, and M’Hammed Sahnoun. Multi-Objective Optimization of Active Human-Robot Collaboration: Case Study of the Aircraft Industry. In The 14 th International Conference on Multiple Objective Programming and Goal Programming, Online Sophia Antipolis, France, December 2021. SKEMA Business School, France. URL https://hal.science/ hal-04098159.
  7. Imane Ihsane and Ahmed NAIT CHABANE. Multi-Objective Optimization for Electrical Demand Forecasting. In 14th International Conference on Multiple Objective Programming and Goal Programming., En ligne, France, December 2021. URL https://hal.science/hal-04088943.
  8. Ahmed Nait Chabane, M’Hammed Sahnoun, and Belgacem Bettayeb. Forecasting KPIs of Production Systems Using LSTM Networks. In 2021 1st International Conference On Cyber Management And Engineering (CyMaEn), pages 1–6, Hammamet, Tunisia, May 2021. IEEE. doi: 10.1109/CyMaEn50288.2021.9497278. URL https://hal.science/hal-04093763.
  9. Guillaume Morin-Duponchelle, Ahmed NAIT CHABANE, Benoit Zerr, and Pierre Schoesetters. Visual and Chemical Servoing of a Hexapod Robot in a Confined Environment Using Jacobian Estimator. In Open Science Index, Mechanical, Materials Engineering Vol:15, No:03, and 2021 publications.waset, editors, ICRA 2021 : International Conference on Robotics and Autonomy, volume 15, Paris, France, March 2021. World Academy of Science, Engineering and Technology. URL https://hal.science/ hal-04098786.
  10. Guillaume Morin-Duponchelle, Ahmed NAIT CHABANE, Yoann Gilet, and Anne-Marie Haute. FUSION DE CAPTEURS A L’AIDE D’APPRENTISSAGE AUTOMATIQUE POUR LA LOCALISATION D’UN DRONE DANS UN ENVIRONNEMENT CONTRAINT. In CONFERE 2018 25`eme colloque des Sciences de la conception et de l’innovation, Budapest, Hungary, July 2018. Arts et M´etiers ParisTech, Laboratoire Conception Produits Innovation. URL https://hal.science/ hal-04098842.
  11. Ahmed Nait-Chabane and Benoit Zerr. Unsupervised Knowledge Discovery of Seabed Types using Competitive Neural Network: Application to Sidescan Sonar Images. In Oceans’14, St John’s, Canada, September 2014. URL https://hal.science/hal-01090608.
  12. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. DYNAMIC SELF-ORGANIZING ALGORITHM FOR UNSUPERVISED SEGMENTATION OF SIDESCAN SONAR IMAGES. In UA 2014, Corfu, Greece, July 2014. URL https://hal.science/hal-01090594.
  13. Naveed Islam, Ahmed Nait-Chabane, Benoit Zerr, and Yann Dupas. IMPROVEMENT OF AUVBORNE SEABED MAPPING WITH QUALITY MAPS USING STATISTICAL ANALYSIS. In UA 2014, UA 2014, Rhodes, Greece, June 2014. URL https://hal.science/hal-01122100.
  14. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. SPECTRAL DIRECTIONAL FILTER BANK FOR SIDESCAN SONAR SEGMENTATION WITH UNSUPERVISED NEURAL NETWORK APPROACH. In UAC 2013 – 1st International Conference and Exhibition on Underwater Acoustics, page 1451, Corfu, Greece, June 2013b. URL https://hal.science/hal-00904124.
  15. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. Sidescan sonar imagery segmentation with a combination of texture and spectral analysis. In IEEE/OES, editor, OCEANS’13, volume ISBN i978-1-4799-0000-8, pages 1–6, France, June 2013c. doi: 10.1109/OCEANS-Bergen.2013.6608096. URL https://hal.science/hal-00913657.
  16. Ahmed Nait-Chabane, Benoit Zerr, and Gilles Le Chenadec. Range-independent segmentation of sidescan sonar images with unsupervised SOFM algorithm (self-organizing feature maps). In ECUA 2012, page xx, Edinburgh, United Kingdom, July 2012b. URL https://ensta-bretagne.hal. science/hal-00728978.

 

Awards

  • IEEE 2nd prize of « IEEE Student Competition Poster ». Bergen, Norway June 2013.

Supervisions

  • Co-supervision of CIFRE CESILINEACT/STICC/PILGRIM thesis by Guillaume MORIN-DUPONCHELLE “Automated recognition of points of interest for an inspection robot in a constrained and degraded environment”, defended on 12/12/2022. Co-supervision of CIFRE thesis with the company eXcent by the doctoral student Pierre HEMONO (ongoing) “Multi-objective optimization of human-robot collaboration based on artificial intelligence: application to the aerospace industry”. Co-supervision of CIFRE thesis with Pilgrim Technology by the doctoral student Houssein OLLEIK (ongoing) “Coupling of visual and proprioceptive odometry for mapping self-calibrated heterogeneous carriers in a dynamic and complex environment without GPS.” Supervision of research internship within the framework of incoming mobility of a student from the University of Jaipur, India. “Machine Learning Algorithms to Detect Outliers Data”.