Slim BEN CHAABANE

FACULTY VITAE

 

 Name: Slim Ezzedine BEN CHAABANE

 

1. Education

Degree	Discipline	Institution	Year
B.S.	Automatism and data industrial processing	University of Tunisia	2004
Master	Automatic, Image processing	University of Tunisia, in collaboration with University of France	2006
Ph.D.	Electrical engineering, Digital Signal processing	University of Tunisia, in collaboration with University of France	2010

1. Academic experience

Institution	Rank	Title	Dates Held	*FT/PT
University of Tunisia	Contractual Assistant	Chair	2007-2010	FT
University of Tunisia	Assistant	Coordinator	2010-2013	FT
University of Tunisia	Assistant Professor	Coordinator	2010-2013	FT

*FT/PT: Full Time / Part Time

 

1. Non-academic experience:

Organization	Title	Duties	Dates	FT/PT
University of Tunisia	Master coordinator	Supervising of Master project	2013-2015	FT
University of Tunisia	Chair of the Master selection committee	Selection	2013-2015	FT

 

1. Certifications or professional registrations

Matlab

1. Membership in professional organizations

 

1. Member SICISI, Signal, Image, Intelligent control and Industrial Systems, 2006-2013
2. Member LIME, university of Tunisia.
3. Member, Laboratory for Innovation Technologies (LTI-UPRES EA3899), Electrical Power Engineering Group (EESA), University of Picardie Jules Verne.

7. Service activities (within and outside of the institution)

1. Chair of the Master selection committee, University of Tunisia.
2. Member of Master coordinator, University of Tunisia.

8. Publications and presentations from past five years

[1]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " Colour Image Segmentation using Homogeneity approach and Data Fusion Techniques", Eurasip journal on advances in signal processing 2010.

[2]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " DempsterShafer Evidence Theory for Image Segmentation: Application in Cells Images", International Journal of Signal processing, IJSP ISSN 2070-397X, Spring 2009.

[3]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, "Color image segmentation using the Dempster-Shafer evidence theory for the fusion of uncertain information sources", International Journal on Sciences and Techniques of Automatic control & computer engineering (IJSTA), ISSN 1737-7749, 2008.

[4]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, "A New Method for the Mass Functions Estimation in the Dempster-Shafer’s Evidence theory: Application to color Image Segmentation", Circuits systems and signal processing, CSSP, 2011.

[5]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech, "Edge Detection via Statistical Features and Automatic Thresholding Technique", Scientifc Reserach and Essays journal, 2013.

[6]. Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech, " Color Edges Extraction by Integrating the Statistical Features and Automatic Thresholding", Biomedical Engineering OnLine journal, 2013.

[7] Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, "Relevance of the Dempster-Shafer evidence theory for image segmentation", International Conference on Signals, Circuits and Systems, SCS’09, November 6-8, 2009 Djerba, Tunisia.

[8] Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " Estimation of the Mass Function in the Dempster-Shafer’s Evidence Theory using Automatic Thresholding for Color Image Segmentation, International Conference on Signals, Circuits and Systems, SCS’08, November 7-9, 2008 Hammamet, Tunisia.

[9] Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " Color Image Segmentation using Automatic Thresholding and the Fuzzy C-Means Techniques", IEEE Mediterranean Electrotechnical Conference, MELECON’2008, Mai 5-7, 2008, Ajaccio – France.

[10] Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, "Color Image Segmentation Based On Dempster- Shafer Evidence Theory", IEEE Mediterranean Electrotechnical Conference, MELECON’2008, Mai 5-7, 2008, Ajaccio – France.

[11] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech, Eric Brassart, "La théorie de l'évidence pour l'aide à la décision de la segmentation des images couleurs", Conférence Internationale JTEA 2008, pp. 1428-1433, 2-4 Mai 2008, Hammamet, Tunisie, 2008.

[12] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech, Eric Brassart, "L’approche possibiliste pour la segmentation des images médicales", Conférence Internationale JTEA 2008, Hammamet, Tunisie, pp. 1434-1439, 2-4 Mai 2008.

 [13] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech, Eric Brassart, " La segmentation de images texturées en utilisant la théorie des probabilités", Conférence Internationale JTEA 2008, Hammamet, Tunisie, pp. 1440-1445, 2-4 Mai 2008.

[14] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " la fusion floue pour la classification ", Huitième conférence internationale des Sciences et Techniques de l’Automatique, STA’2007, Novembre 05- 07, 2007, Tunisia.

[15] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " La théorie de l’évidence de Dempster-Shafer pour la segmentation des images couleurs ", Huitième conférence internationale des Sciences et Techniques de l’Automatique, STA’2007, Novembre 05- 07, 2007, Tunisia.

[16] Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, " La segmentation d’images couleurs par la méthode K-Moyenne (K-means) ", 5 èmes Journées Scientifiques de Borj el Amri, JS-EABA 2007, mai 23-24, 2007, Tunisia.

[17] Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech and Eric Brassart, "Détection et fermeture des contours des véhicules automobiles par un réseau de kohonen", International conference STA’2006, 2006, Tunisia.

[18] B. Miladi, Salim Ben Chaabane, M. Sayadi and F. Fnaiech, "Distance measures for texture synthesis", 11th edition of the Mediterranean Microwave Symposium MMS’2011, Hammamet, Tunisia.

[19] A new method based on evidence theory and fuzzy clustering for the breast cancer cells images segmentation, IJSER, 2018

[20] Color Image Segmentation Using Fuzzy Clustering and Fusion: Application to Biomedical Images, ijraset, 2018.

[21] Modified anisotropic filtering and multi-level thresholding for image segmentation, IJSER 2018