الصفحة الرئيسية

كلية الحاسبات وتقنية المعلومات \ هندسة الحاسب

عقبه عمر طوالي

نسبة اكتمال الملف الشخصي
الجنسية التونسية
التخصص العام الهندسة الكهربائية
التخصص الدقيق هندسة نظم قوى وتحكم
المسمى الوظيفي استاذ
الدرجة العلمية (المرتبة) دكتوراه

نبذه مختصرة

OKBA TAOUALI received an Engineer degree in electrical engineering (computer Engineering) from the National Engineering School of Monastir (ENIM), Monastir University, Tunisia in 2005, his PhD degree from ENIM, Tunisia in 2010, his HDR degree from Monastir university in 2016 He worked as a Professor at the Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia His research interests include machine learning, kernel methods, fault diagnosis, process modelling and monitoring, multivariate statistical approaches, pattern recognition and image processing

المؤهلات العلمية

درجة التأهيل الجامعي : الهندسة الكهربائية, تخصص الالية و هندسة الحاسب, جامعة المنستير, تونس, 2016 درجة الدكتـــــوراه: الهندسة الكهربائية , المدرسة الوطنية للمهندسين, جامعة المنستير, تونس,2010 درجة الماجستير: الالية و الصيانة الصناعية , المدرسة الوطنية للمهندسين, جامعة المنستير, تونس,2007 درجة البكالوريوس : الهندسة الكهربائية, تخصص هندسة الحاسب,المدرسة الوطنية للمهندسين, جامعة المنستير, تونس,2005

الاهتمامات البحثية

Machine Learning, Statistical Learning Theory, Kernel methods, Fault diagnosis, Process modelling and monitoring, Image Processing, Medical Image Analysis, Pattern Recognition, multivariate statistical approaches, data driven techniques

الخبرات والمناصب الإدارية

منسق الخطة الاستراتيجية لوكالة الكلية منذ 2019 منسق الشؤون الأكاديمية لقسم هندسة الحاسب منذ 2021 عضو لجنة مراجعة و اعداد الخطط الدراسية بكلية الحاسبات و تقنية المعلومات منذ 2022 رئيس لجنة البرامج والخطط الدراسية بقسم هندسة الحاسب بجامعة تبوك 2019-2020 عضو لجنة الجودة والاعتماد الأكاديمي 2019-2021

الجدول الدراسي
اليوم المادة الوقت
من إلى
الأحد التحكم الرقمي 15:30 17:00
الإثنين معالجة الإشارات الرقمية 09:30 11:00
الإثنين معالجة الإشارات الرقمية 15:30 17:00
الثلاثاء التحكم الرقمي 15:30 17:00
الأربعاء معالجة الإشارات الرقمية 09:30 11:00
الأربعاء معالجة الإشارات الرقمية 15:30 17:00
الأبحاث والمؤلفات
  • 1- Syrine Neffati, Khaoula Ben Abdellafou, Ahamed Aljuhani , Okba Taouali, An enhanced CAD system based on machine Learning Algorithm for brain MRI classification, Journal of Intelligent and Fuzzy Systems, 41(9–12):1-10, 2021
  • 2- Hajer Lahdhiri, Ahamed Aljuhani, Khaoula Ben Abdellafou , Okba Taouali, An Improved Fault Diagnosis Strategy for Process Monitoring Using Reconstruction Based Contributions, IEEE Access (9) ,pp 79520 – 79533, 2021
  • 3- Maroua Said, Okba Taouali, Improved Dynamic Optimized Kernel Partial Least Squares for Nonlinear Process Fault Detection, Mathematical Problems in Engineering 2021(4-5):1-16, https://doiorg/101155/2021/6677944
  • 4- Hajer Lahdhiri, Okba Taouali "Interval Valued data driven approach for sensor fault detection of nonlinear uncertain process", Measurement, 2021
  • 5- Hajer Lahdhiri, Okba Taouali " Reduced Rank KPCA based on GLRT chart for sensor fault detection in nonlinear chemical process ", Measurement, 2021
  • Bacha Sawssen, Okba Taouali , A Novel Machine Learning Approach for Breast Cancer Diagnosis, Measurement, 2021
  • 6- Imen Hamrouni, Hajer Lahdhiri, Khaoula Ben Abdellafou, Okba Taouali, Fault detection of uncertain nonlinear process using reduced interval kernel principal component analysis (RIKPCA), The International Journal of Advanced Manufacturing Technology, February 2020
  • 8- Maroua Said, Khaoula Ben Abdellafou, Okba Taouali Machine learning technique for data-driven fault detection of nonlinear processes, Journal of Intelligent Manufacturing, , July 2019
  • 9- Syrine Neffati, Khaoula Ben Abdellafou, Ines Jaffel, Okba Taouali, Kais Bouzrara, An improved machine learning technique based on downsized KPCA for Alzheimers disease classification, International Journal of Imaging Systems and Technology,
  • 10- Maroua Said, Khaoula Ben Abdellafou, Okba Taouali, Mohamed Faouzi Harkat " A new monitoring scheme for an air qauality network based on the kernel method", The International Journal of Advanced Manufacturing Technology, pp 1-15, 2019
  • 11- Syrine Neffati, Khaoula Ben Abdellafou, Okba Taouali, and Kais Bouzrara Enhanced SVM-KPCA Method for Brain MR Image Classification journal of computer, pp 1-13,2019
  • 12- Hajer Lahdhiri, Maroua Said, Khaoula Ben Abdellafou, Okba Taouali, Mohamed Faouzi Harkat " Supervised process monitoring and fault diagnosis based on machine learning methods", The International Journal of Advanced Manufacturing Technology, pp 1-17, 2019 https://doiorg/101007/s00170-019-03306-z
  • 13- Syrine Neffati, Khaoula Ben Abdellafou, OkbaTaouali, Kais BouzraraAnew Bio-CAD system based on the optimized KPCA for relevant feature selection", The International Journal of Advanced Manufacturing Technology, pp 1-12, 2019
  • 14- Maroua Said, Radhia Fazai, Khaoula Ben Abdellafou, Okba Taouali " Decentralized fault detection and isolation using bond graph and PCA methods", The International Journal of Advanced Manufacturing Technology, 99:517–529, 2018
  • 15- Radhia Fazai, Khaoula Ben Abdellafou, Maroua Said, Okba Taouali " Online fault detection and isolation of an AIR Quality Monitoring Network based on machine learning and metaheuristic methods", The International Journal of Advanced Manufacturing Technology, pp 1-25, 2018
  • 16- Hajer Lahdhiri, Khaoula Ben Abdellafou, Okba Taouali " New Online Kernel method with the Tabu Search Algorithm for process monitoring, Transactions of the Institute of Measurement and Control , pp 1-21, 2018
  • 17- H LAHDHIRI, I ELAISSI, O TAOUALI, MF HARKAT and H MESSAOUD « Nonlinear process monitoring based on new reduced Rank-KPCA method, Stoch Environ Res Risk Assess, october 2017
  • 18- Radhia Fezai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila, Online reduced kernel principal component analysis for processmonitoring, Journal of Process Control 61 (2018) 1–11
  • 19- H LAHDHIRI, O TAOUALI, I JAFFEL, MF HARKAT and H MESSAOUD « A New fault detection index based on Mahalanobis distance and kernel method » International Journal of Advanced Manufacturing Technology, 2016
  • 20- I JAFFEL, O TAOUALI, MF HARKAT and H MESSAOUD « Fault detection and isolation in nonlinear systems with Partial RKPCA method » Journal of Transactions of the Institute of Measurement and Control, 2016,
  • 21- I JAFFEL, O TAOUALI, MF HARKAT and H MESSAOUD « Moving Window KPCA with reduced complexity for Nonlinear Dynamic Process Monitoring» ISA Transactions, 2016
  • 22- I JAFFEL, O TAOUALI, MF HARKAT and H MESSAOUD « Kernel Principal Component Analysis with reduced complexity for Nonlinear Dynamic Process Monitoring » International Journal of Advanced Manufacturing Technology, pp1-15, 18 June 2016
  • 23- R FASAI , O TAOUALI, MF HARKAT and NBOUGUILA« A new fault detection method for nonlinear process monitoring» International Journal of Advanced Manufacturing Technology pp1-12, 15 April 2016
  • 24- I SAYEHI, O TAOUALI, T SAIDANI, B BOUALLEGUE and M MACHHOUT« Implementation of the RN Method on FPGA using Xilinx System Generator for Nonlinear System Regression» International Journal of Advanced Computer Science and Applications 8(6) · January 2017
  • 25- O TAOUALI , I ELAISSI and H MESSAOUD « Dimensionality reduction of RKHS model parameters » ISA Transactions, Vol57, pp 205-210, 2015
  • 26- O TAOUALI, I JAFFEL, H LAHDHIRI, MF HARKAT and H MESSAOUD « New Fault Detection Method Based on Reduced Kernel Principal Component Analysis (RKPCA » International Journal of Advanced Manufacturing Technology Vol85, Issue 5-8, pp 1547-1552, 2016
  • 27- I JAFFEL, O TAOUALI, MF HARKAT and H MESSAOUD « Online process monitoring using a new PCMD index » International Journal of Advanced Manufacturing Technology, Vol 80, Issue 5, pp 947-957, 2015
  • 30- O TAOUALI, I ELAISSI I and H MESSAOUD «Hybrid kernel identification method based on support vector regression and regularisation network algorithms » Iet Signal Processing, Vol8, Issue 9, pp981-989, 2014
  • 33- I JAFFEL, O TAOUALI, I ELAISSI and H MESSAOUD « A new online fault detection method based on PCA technique» IMA Journal of Mathematical Control and Information, Vol 31, Issue 4, pp 487-499, 2013
  • 35- I ELAISSI, I JAFFEL, O TAOUALI, and H MESSAOUD « online prediction model based on the SVD-KPCA method» ISA Transactions, Vol 52, , pp 96-104, 2013
  • 36- O TAOUALI, I ELAISSI and H MESSAOUD « Design and Comparative Study of online kernel methods identification of nonlinear system in RKHS Space» Artificial Intelligence Review, vol 37, pp289-300, 2012
  • 37- O TAOUALI, I ELAISSI and H MESSAOUD « Online identification of nonlinear system using Reduced Kernel Principal Component Analysis» Neural Computing and Application journal, Vol 21 (1) , pp 161-169, 2012
  • MAROUA SAID, HAJER LAHDHIRI, OKBA TAOUALI , Comparative Study based on Reduced Kernel Monitoring Methods using Air Quality Nonlinear Process, International Conference on Computing and Information Technology, ICCIT September 9-10, 2020, Tabuk, KSA
  • 2 OKBA TAOUALI, A Novel Kernel method for Dynamic Process Identification, 20th IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2020, Monastir, Tunisia
جوائز التميز
  • مكافأة تشجيعية لأعضاء هيئة التدريس الحاصلة أبحاثهم على استشهادات عالية في Web of science
  • مــكافـأة تــشجــيـعـيـة لأعـضـاء هـيـئـة التــدريس الـــناشرين في المجـــــــلات المصنفة
المشاريع البحثية
اسم المشروع وصف المشروع
Designing a Security Framework for the Industrial Internet of Things Designing a Security Framework for the Industrial Internet of Things
Anomaly-Based Intrusion Detection System in Internet of Medical Things Anomaly-Based Intrusion Detection System in Internet of Medical Things
معلومات التواصل
البريد الإلكتروني : otawali@UT.EDU.SA
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