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Rostom Kachouri, Associate Professor at ESIEE Paris


Presentation:

Rostom Kachouri received his Engineer and Master degrees from the National Engineering School of Sfax (ENIS) respectively in 2003 and 2004. In 2010, he received his Ph.D. in Image and Signal Processing from the University of Evry Val d’Essonne. 
From 2005 to 2010, Dr. Kachouri was an Assistant Professor at the National Engineering School of Sfax (ENIS) and then at the University of Evry Val d’Essonne. 
From 2010 to 2012, He held a post-doctoral position as part of a project with the high technology group SAGEMCOM. 
Dr. Kachouri is currently Associate Professor in the Computer Science Department and Head of apprenticeship computer and application engineering at ESIEE, Paris.
He is member of the Institut Gaspard-Monge, unité mixte de recherche CNRS-UMLPE-ESIEE, UMR 8049.  
His main research interests include pattern recognition, machine learning, clustering and Algorithm-Architecture Matching.

Biographical references:


Yaroub Elloumi   

Conference papers2 documents

  • Sofien Sayadia, Yaroub Elloumi, Rostom Kachouri, Mohamed Bedoui, Mohamed Akil. Détection du Disque Optique : Critères de performance et Evaluation des méthodes. WORKSHOP AMINA 2018 "Applications Médicales de l'Informatique : Nouvelles Approches", Nov 2018, Monastir, Tunisie. ⟨hal-02004695⟩
  • Yaroub Elloumi, Rostom Kachouri, Mohamed Hedibedoui, Mohamed Akil. Stratégie de parallélisme d'une méthode de segmentation des vaisseaux rétiniens sur architecture parallèle à mémoire partagée. WORKSHOP AMINA 2018 "Applications Médicales de l'Informatique : Nouvelles Approches", Nov 2018, Monastir, Tunisie. ⟨hal-02004691⟩

Book sections2 documents

  • Mohamed Akil, Yaroub Elloumi, Rostom Kachouri. Detection of Retinal Abnormalities in Fundus Image Using CNN Deep Learning Networks. Elsevier. State of the Art in Neural Networks, 1, Ayman S. El-Baz; Jasjit S. Suri, In press. ⟨hal-02428351⟩
  • Rostom Kachouri, Mohamed Akil, Yaroub Elloumi. Retinal image processing in Biometrics. Amine Nait-Ali. Hidden Biometrics _ When Biometric Security Meets Biomedical Engineering, 2019, 978-981-13-0956-4. ⟨10.1007/978-981-13-0956-4_10⟩. ⟨hal-02295012⟩