OKBA TAWALI
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
Resume
Study Schedule
Research And Literature
Research Projects
Awards
Experience and administrative positions
- 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
Qualifications
- 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
Research interests
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
| Day | Course | Time |
|---|---|---|
| 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 |
A deep-learning-integrated blockchain framework for securing industrial IoT
IEEE Internet of Things Journal
DOI
10.1109/jiot.2023.3316669
A novel machine learning approach for breast cancer diagnosis
MEASUREMENT
DOI
10.1016/j.measurement.2021.110233
An Online Reduced KPLS Data-Driven Method for Fault Diagnosis of Nonlinear Processes
Symmetry-Basel
DOI
10.3390/sym17111863
An enhanced CAD system based on machine Learning Algorithm for brain MRI classification
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
DOI
10.3233/jifs-210595
An improved fault diagnosis strategy for process monitoring using reconstruction based contributions
IEEE Access
DOI
10.1109/access.2021.3083544
Anomaly detection for process monitoring based on machine learning technique
NEURAL COMPUTING & APPLICATIONS
DOI
10.1007/s00521-022-07901-2
Anomaly-based intrusion detection system in IoT using kernel extreme learning machine
Journal of Ambient Intelligence and Humanized Computing
DOI
10.1007/s12652-022-03887-w
Dynamic sensor fault detection approach using data-driven techniques
NEURAL COMPUTING & APPLICATIONS
DOI
10.1007/s00521-024-09847-z
Early detection of digital mammogram using kernel extreme learning machine
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
DOI
10.1002/cpe.6971
Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
DOI
10.32604/csse.2023.039984
Machine Learning for Smart Soil Monitoring.
CMC-Computers Materials & Continua
DOI
10.32604/cmc.2025.063146
New Fault Diagnosis Strategy Based on KGLRT Chart for Monitoring Chemical Processes
Applied Sciences-Basel
DOI
10.3390/app16073334
Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
DOI
10.1016/j.engappai.2024.108579
Optimal Location, Sizing and Technology Selection of STATCOM for Power Loss Minimization and Voltage Profile Using Multiple Optimization Methods
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
DOI
10.32604/cmes.2025.071642
Research Article Anomaly Detection and Localization for Process Security Based on the Multivariate Statistical Method
MATHEMATICAL PROBLEMS IN ENGINEERING
DOI
10.1155/2022/5580774
Data-Driven Technique for Fault Detection and Localization of Air Quality Process
Applied Sciences-Basel
DOI
10.3390/app16115674
| Project Name | Project Description |
|---|---|
| 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 |
- مكافأة تشجيعية لأعضاء هيئة التدريس الحاصلة أبحاثهم على استشهادات عالية في Web of science
- مــكافـأة تــشجــيـعـيـة لأعـضـاء هـيـئـة التــدريس الـــناشرين في المجـــــــلات المصنفة

College
Faculty of Computers and Information Technology
General specialization
Computer Engineering
Exact Specialty
Digital Control
Academic degree (rank)
Doctorate
Nationality
Tunisian
Job Title
Professor