Mohamed Chelali

I am now a PhD student at the laboratory of computer sciences of Paris Descartes University (LIPADE), in the SIP (Système intelligents de Perception) team, and teacher at UFR mathemathics and informatics. I am supervised by Nicole VINCENT and Camille KURTZ. My research activities focus on the analysis of Satellite Image Time Serie (SITS). SITS represent huge volumes of data with hight temporal frequency and the goal of my PhD thesis is to build and to extract discriminative spatio-temporal features for the classification of agricultural and urban territories, leading to land cover maps.

Keywords : Image analysis, Computer vision, Remote sensing.

Timeline

[2018-now] - Paris Descartes University

PhD student in Computer Science

New constellations of satellites acquire images with a high spatial, spectral and temporal resolution around the world leading to Satellite Image Time Series (SITS). During my thesis, our objective is to analyse the image time serie in order to extract features that enrich the orginal data and perform an application, such as a classification, by maximazing the accuracy.
Advisors: Nicole Vincent, Camille Kurtz.

[2016-2018] - Paris Descartes University

Master's degree in Computer Sciences - Image et Plurimedia field

The master's was validated with a research internship at the LIPADE.
Advisors: Nicole Vincent, Camille Kurtz.

[2015-2016] - El Bachir El Ibrahimi University

Master 1 in Computer Science - Networking and Multimedia field

[2012-2015] - El Bachir El Ibrahimi University

Bachelor's degree in Computer Science - Image Processing field

Research

@article{chelaliIJPRAI2020,
  author    = {Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
  title     = {Influence of data representations and deep architectures in image time series classification},
  booktitle   = {International Journal of Pattern Recognition and Artificial Intelligence -- IJPRAI 2020},
  pages     = {XX--XX},
  year      = {2020}
}
		    
@inproceedings{chelali_ICPR_2020,
  title={Classification of spatially enriched pixel time series with convolutional neural networks},
  year={2020},
  booktitle={International Conference on Pattern Recognition -- ICPR 2020},
  month={Jan},
  address={Milan, Italy (Virtual)},
  pages={XX--XX},
  author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
		    
@inproceedings{chelali1_ICPRAI_2020,
  title={From pixels to Random Walk based segments for image time series deep classification},
  year={2020},
  booktitle={International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
  month={May},
  address={Zhongshan City, China},
  pages={339--351},
  author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
  url={https://link.springer.com/chapter/10.1007/978-3-030-59830-3_30}
}

@inproceedings{chelali2_ICPRAI_2020,
  title={Spatio-temporal stability analysis in Satellite Image Times Series},
  year={2020},
  booktitle={International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
  month={May},
  address={Zhongshan City, China},
  pages={484--499},
  author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
  url={https://link.springer.com/chapter/10.1007/978-3-030-59830-3_42}
}

@inproceedings{chelali_VISAPP_2020,
  title={Image time series classification based on a planar spatio-temporal data representation},
  year={2020},
  booktitle={International Conference on Computer Vision Theory and Applications -- VISAPP 2020},
  month={February},
  address={Valletta (Malta)},
  pages={276-283},
  publisher={SCITEPRESS Digital Library},
  author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
 url={http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0008949202760283}		    
}

@inproceedings{mchelali_2019,
  author = {Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
  title = {Urban land cover analysis from satellite image time series based on temporal stability},
  booktitle = {Joint Urban Remote Sensing Event -- JURSE 2019, pages 1-4, IEEE Geoscience and Remote Sensing Society.},
  year = {2019},
  pages = {1--4},
  url = "https://ieeexplore.ieee.org/abstract/document/8808967"
}
		    
@NATIONALROCEEDINGS{apta2020_mchelali,
  author="Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.",
  title="Classification de séries d'images via une représentation spatio-temporelle",
  booktitle="Atelier sur l'Apprentissage Profond dans le cadre de la Conférence Extraction et Gestion des Connaissances -- APTA@EGC 2020",
  year="2020",
  url="https://apta2020.sciencesconf.org/data/APTA_EGC2020_actes.pdf"
}
        
@NATIONALROCEEDINGS{chelali_RFIA_2020,
  title={Des pixels aux segments pour la classification de séries temporelles d'images via des réseaux de neurones convolutionnels},
  year={2020},
  booktitle={Proceedings of the Congrès Reconnaissance des Formes, Image, Apprentissage et Perception -- RFIAP 2020},
  month={July},
  address={Vannes (France)},
  pages={1-7},
  author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.},
  url={https://cap-rfiap2020.sciencesconf.org/data/RFIAP_2020_paper_32.pdf}
}

@misc{gdr_maclean2019Renne,
  author="Chelali, M.",
  title="Analyse de l'occupation des sols à partir de séries temporelles d'images setellitaires basée sur la sabilité temporelle",
  booktitle="MACLEAN (Machine Learning for Earth Observation Data)",
  year="27-07-2019"
}

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[URL] [BibTeX]

Journals

Books

Conference and Workshop Papers

National conference and Workshop Papers

Presentation

Others

Teaching

I have a teaching assignments during of my Phd research at the UFR Mathématiques et Informatique of Université de Paris

Introduction to programming (C programming language)
Functionnal programming (CAML)
Imperative programming (C programming language)
Introduction to image analysis (C++/JAVA programming language)

Tutorials

Image classification using deep neural networks