Syrine Ben Meskina Mkaouar, PhD - SMU

Qualifications: Ph.D. in Computer Science, Faculté des Sciences de Tunis, 2017 | Conducted at the Laboratoire d'Informatique et Systèmes Industriels (LISI), research laboratory at INSAT + M.Sc. in Modeling, Institut Supérieur de Gestion (ISG) de Tunis, 2011

Biography

Dr. Syrine Ben Meskina is an Associate Professor of Computer Science and currently serves as the Director of the Pre-Engineering Program at the Mediterranean Institute of Technology (MedTech), part of South Mediterranean University (SMU) in Tunis. She earned her Ph.D. in Computer Science from the Faculty of Sciences of Tunis, where she conducted her research at the Laboratory of Computer Systems and Industrial Systems (LISI) at INSAT.

She accumulated over 15 years of teaching experience in higher education, contributing to both technical and interdisciplinary programs. Additionally, she has held several academic coordination and leadership roles, actively contributing to the development and continuous improvement of undergraduate programs in computer science and engineering.

She has contributed to academic research in her field through scientific publications in international conferences and prestigious journals, focusing on applied data science, intelligent systems and smart grids.

She remains actively engaged in pedagogical development and is particularly interested in enhancing student learning experiences through innovative and applied teaching approaches.

Areas of Expertise

Database Management Systems (SQL, NoSQL) Programming & Programming Languages (Java, C, C++, Python) Data Mining, Visualization & Exploratory Analysis Machine Learning

Research Interest

AI in Education and Learning Analytics Smart Grids & AI Machine Learning Applications in Real-World Systems

Publications

ENHANCING STUDENT ENGAGEMENT AND LEARNING OUTCOMES THROUGH BLENDED LEARNING IN HIGHER EDUCATION: A QUANTITATIVE ANALYSIS, Conference name: 16^th annual International Conference of Education, Research and Innovation, Seville, Spain, November, 2023.
Teaching Data Analytics to Energy Engineering Students using Project-Based Approach, Leila Costelle, Syrine Ben Meskina, Yasmine Guefrachi, Dorra Louati, Colloque International de Statistique et Econométrie (CISEM 2022), Mahdia, Tunisia, 13-15 May 2022.
Leila Ziouche, Syrine Ben Meskina, Mohamed Khalgui, Laïd Kahloul: Smart Grid Reconfiguration based on Prediction Model for Technical Teams Intervention Integration and Recovery Enhancement, Evaluation of Novel Approaches to Software Engineering (ENASE) 2020: 382-389.
Leila Ziouch, Syrine Ben Meskina, Mohamed Khalgui, Zhiwu Li, Laid Kahloul, « Smart Grid Rebuilding based on Cloud Computing Architecture», in the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019).
Syrine Ben Meskina, Narjes Doggaz, Mohamed Khalgui, Zhiwu Li, «Reconfiguration-based methodology for improving recovery performance of faults in smart grids », Information Science, Volume 454-455, pp. 73-95, 2018.
Multi-agent Framework for Smart Grids Recovery, Syrine Ben Meskina, Narjes Doggaz, Mohamed Khalgui and Zhiwu Li, in IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume 47, Issue 7, Pages 1284-1300, July 2017.
An Efficient Reconfiguration-based Approach for Improving Smart Grid Performance, Syrine Ben Meskina, Narjes Doggaz, and Mohamed Khalgui, in 14th International Conference on Intelligent Software Methodologies (SoMeT 2015), Naples, Italy, 15th-17th September 2015.
Fault Detection, Isolation and Recovery System (FDIRSY) for Smart Power Grids, Syrine Ben Meskina, Narjes Doggaz, and Mohamed Khalgui, in 5th International on Conference Pervasive and Embedded Computing and Communication Systems (PECCS 2015), pages: 132-139, Angers, France, 2015.
New Solutions for Fault Detections and Dynamic Recoveries of Flexible Power Smart Grids, Syrine Ben Meskina, Narjes Doggaz, and Mohamed Khalgui, in 9th International Conference in Informatics in Control, Automation and Robotics (ICINCO 2014), pages: 370-377, Vienne, Austria, 2014.
On the Effect of Data Reduction on Classification Accuracy, Syrine Ben Meskina, Ghazi BelMufti and Mohamed Limam, in 3rd International Conference on Information Technology and e-Services (ICITeS), 2013.

Professional area of interest

Computer Science
Data Science

Courses

Object-Oriented Programming.
Advanced Programming in Java
Data Structures & Algorithms
Database Management Systems
Data Analytics
Machine Learning
Data Mining
Information Systems Design
Capstone supervision

Awards

Second Price at the internation competition IEEE-IAS Myron Zucker Undergraduate Student Design Contest 2015 about developing a software simulator for modeling, supervising and managing smart grids at Dallas-USA (18 - 22 October 2015).

Patents

InnovationPatent 1

Inventors: Zhiwu Li, Syrine Ben Meskina, Mohamed Khalgui, Narjes Doggaz, Naiqi Wu.

Title: SYSTEM, METHOD, COMPUTER PROGRAM AND DATA SIGNAL FOR FAULT DETECTION AND RECOVERY OF A NETWORK.

Applicant: Macau University of Science and Technology, Taipa (MO)

Country: United States

Innovation Patent 2

Inventors: Zhiwu Li, Syrine Ben Meskina, Mohamed Khalgui, Narjes Doggaz, Naiqi Wu.

Title: A system, method, computer program, and data signal for fault detection and recovery of a network

Applicant: Macau University of Science and Technology

Country: AUSTRALIAN PATENT OFFICE