الصفحة الرئيسية

كلية الحاسبات وتقنية المعلومات \ هندسة الحاسب

سليم عز الدين بن شعبان

السيرة الذاتية
نسبة اكتمال الملف الشخصي
الجنسية التونسية
التخصص العام هندسة كهربائية
التخصص الدقيق هندسة كهربائية
المسمى الوظيفي أستاذ مشارك
الدرجة العلمية (المرتبة) دكتوراه

نبذه مختصرة

Slim Ben Chaabane born in 1979 in Chebba (Tunisia), he received the BSc degree in Electrical Engineering from the High school of sciences and techniques of Tunis, University of Tunisia, in collaboration with University of Jules Verne, France, the DEA degree in Automatic from same universities in 2004 and 2006, respectively He is currently Associate Professor at FCIT (Tabuk University) in Saudi Arabia He has published over 30 research papers in many journals and international conferences He was member of the international Board committee of many International Conferences His main interest research are focused on signal Processing, image processing, classification, segmentation and data fusion

المؤهلات العلمية

درجة الدكتـــــوراه: الهندسة الكهربائية سنة 2010 تخصص معالجة الإشارات الرقمية في المدرسة العليا للعلوم والتقنيات بتونس بجامعة تونس بالتعاون مع جامعة جول فارن فرنسا درجة الماجستيـــــر: الية سنة 2006 في المدرسة العليا للعلوم والتقنيات بتونس بجامعة تونس و بالتعاون مع جامعة جول فارن فرنسا درجة البكالوريوس في الهندسة الكهربائية الية وإعلامية صناعية 2004 في المدرسة العليا للعلوم والتقنيات بتونس بجامعة تونس

الاهتمامات البحثية

معالجة الاشارات والصور الرقمية التعرف على الاشخاص باستخدام تقنيات متقدمة معالجة الصور الطبية

الخبرات والمناصب الإدارية

عضو لجنة الجودة والاعتماد الأكاديمي منذ سنة 2016 عضو لجنة البرامج والخطط الدراسية بقسم هندسة الحاسب بجامعة تبوك منذ سنة 2021 عضو لجنة مشاريع التخرج منذ سنة 2020

الجدول الدراسي
اليوم المادة الوقت
من إلى
الأحد المنطق الرقمي (2) 12:30 14:00
الأحد المنطق الرقمي (1) 15:30 17:00
الإثنين مقدمة في معالجة الإشارات 08:00 09:30
الثلاثاء المنطق الرقمي (2) 12:30 14:00
الثلاثاء المنطق الرقمي (1) 15:30 17:00
الأربعاء مقدمة في معالجة الإشارات 08:00 09:30
الأبحاث والمؤلفات
  • 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
  • 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
  • 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
  • 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
  • Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech, "Edge Detection via Statistical Features and Automatic Thresholding Technique", Scientifc Reserach and Essays journal, 2013
  • Salim Ben Chaabane, Mounir Sayadi, Farhat Fnaiech, " Color Edges Extraction by Integrating the Statistical Features and Automatic Thresholding", Biomedical Engineering OnLine journal, 2013
  • 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
  • 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
  • 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
  • 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
  • Salim Ben Chaâbane, Mounir Sayadi, Farhat Fnaiech, Eric Brassart, "La théorie de lévidence pour laide à la décision de la segmentation des images couleurs", Conférence Internationale JTEA 2008, pp 1428-1433, 2-4 Mai 2008, Hammamet, Tunisie, 2008
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • A new method based on evidence theory and fuzzy clustering for the breast cancer cells images segmentation, IJSER, 2018
  • Color Image Segmentation Using Fuzzy Clustering and Fusion: Application to Biomedical Images, ijraset, 2018
  • Modified anisotropic filtering and multi-level thresholding for image segmentation, IJSER 2018
  • Face Recognition Based on Convolution Neural Network and Scale Invariant Feature Transform, (IJACSA), International Journal of Advanced Computer Science and Applications, 2021
  • Face recognition using Fast Fourier Transform and SVM Techniques, ICGST, International journal on graphics vision and image processing, 2021
  • Performance Analysis of Face Recognition Techniques Based On SVM, GVIP, ICGST Journal of Graphics, Vision and Image Processing, 2021
  • Facial Expression Recognition System Based on SVM and HOG, International Journal of Image Processing (IJIP), 2021
  • Performance Analysis of Face Recognition Techniques Based On Conventional Neural Network, World journal of advanced engineering technology and sciences WJAETS, 2021
  • Slim BEN CHAABANE, Rafika HARRABI, Hassene SEDDIK and Imen LABIEDHFace Recognition using Fast Fourier Transform and SVM Techniques, ICGST Journal of Graphics, Vision and Image Processing (GVIP), 2021
  • Jamilah ALAMRI, Rafika HARRABI and Slim BEN CHAABANE, Face Recognition Based on Convolution Neural Network and Scale Invariant Feature Transform, International Journal of Advanced Computer Science and Applications (IJACSA), 2021
  • Eman ALATAWI, Rafika HARRABI and Slim BEN CHAABANE, Performance Analysis of Face Recognition Techniques Based On SVM, ICGST Journal of Graphics, Vision, and Image Processing (GVIP), 2021
  • Safaa RAJAA, Rafika HARRABI and Slim BEN CHAABANE, Facial Expression Recognition System Based on SVM and HOG, International Journal of Image Processing (IJIP), 2021
  • Imen Labiedh, Hassene Seddik and Slim Ben Chaabane, Real Time Face Recognition Based on Residual Neural Network, IEEE ICCIT conference, 2021 [32] Slim BEN CHAABANE Rafika HARRABI, Hassene SEDDIK, Face recognition based on statistical features and SVM classifier, Multimedia Tools and Applications, 2022
جوائز التميز
  • لا يوجد
المشاريع البحثية
اسم المشروع وصف المشروع
KNN and fuzzy logic for segmentation and classification of cervical cancer from pap smear images Cervical cancer is a significant public health issue affecting women worldwide By developing accurate methods for segmenting and classifying Pap smear cell images, it can be easily detected the cervical cancer and completely preventable in its early stages This work proposes a new cervical cell segmentation and classification method We will explore how the modified fuzzy c-means algorithm can enhance cervical cell segmentation, and how the K-nearest neighbors (KNN) algorithm can improve cervical cell classification The cervical cell region is isolated from its surroundings using the Gabor Filter and K-mean method On the other hand, the nucleus, cytoplasm, and background are defined instead by classifying the segments obtained from the initial step using the modified fuzzy c-means algorithm Finally, different characteristics of the cervical pap picture are retrieved and normalized using the min-max approach, and then cancer is classified according to its anomaly using the KNN algorithm This specific classifier must determine whether these new images belong to one of the seven classes
معلومات التواصل
البريد الإلكتروني : s.chaabane@ut.edu.sa
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