Maroua Abdelhafidh
Email: maroua.abdelhafidh@musteducation.tn
Tel: 00216 71 180 108
Office: R 117
![](https://www.mustuniversity.tn/wp-content/uploads/2022/06/AbdelHafidh_Maroua-profilephoto-500x500.jpg)
Biography
MAROUA ABDELHAFIDH received the M.Sc. degree in Computer Science and
Multimedia from the Higher Institute of Computer Science and Multimedia of Sfax, Tunisia,
in 2013, and the Ph.D. degree in Computer System Engineering from the National
Engineering School of Sfax, Tunisia, in 2018.
She is a research associate with the Canadian University Dubai (CUD).
Her research interests include Blockchain, Flying Ad-Hoc Networks (FANET), Wireless
Sensor Networks (WSN), Internet of Things (IoT), Artificial intelligence, and Environment
Remote Monitoring.
Dr. Abdelhafidh is a member of TPCs of major international IEEE communications and
IFIP/IEEE conferences. She is active as a reviewer in international journals.Dr.
Recherche
- Blockchain
- Flying Ad-Hoc Networks (FANET)
- Wireless Sensor Networks (WSN)
- Internet of Things (IoT)
- Artificial intelligence, and
- Environment Remote Monitoring.
Teaching
- Data Structures
- Operating Systems
Publications
[2] M. Abdelhafidh, N. Charef, A. Ben Mnaouer, L. Chaari Fourati. A Survey of Blockchain-Based Solutions for IoTs, VANETs, and FANETs, Book: Enabling Blockchain Technology for Secure Networking and Communications, 2021.
[3] M. Abdelhafidh, M. , L. Chaari Fourati. A Genetic Algorithm-based Intelligent Solution for Water Pipeline Monitoring System in a Transient State, Concurrency and Computation: Practice and Experience Journal, 2020;e5959. https://doi.org/10.1002/cpe.5959
[4] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, and A. Laabidi. Wireless Sensor Network Monitoring System: architecture, applications, and future directions. International Journal of Communication Networks and Distributed Systems, Vol. 23, No. 4, 2019.
[5] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, and A. Laabidi. An Investigation on Wireless Sensor Networks Pipeline Monitoring System. International Journal of Wireless and Mobile Computing, vol. 14, pp. 25-46, 2018.
[6] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, A. Ben Mnaouer and M. Zid, Novel Data Preprocessing Algorithm for WSN Lifetime Maximization in Water Pipeline Monitoring System. In IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2019. p. 1-6.
[7] Y. Lalle, M. Abdelhafidh, M. L. Chaari Fourati, and J. Rezgui, A hybrid optimization algorithm based on K-means++ and Multi-objective Chaotic Ant Swarm Optimization for WSN in pipeline monitoring, In IEEE 15th International Wireless Communications and Mobile Computing Conference (IWCMC), 2019. p. 1929-1934.
[8] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, A. Ben Mnaouer and M. Zid, Cognitive Internet of Things for Smart Water Pipeline Monitoring System. In IEEE 22th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2018. p. 212-219.
[9] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, A. Ben Mnaouer and M. Zid. Lifetime Maximization for Pipeline Monitoring based on Data Aggregation and Bio-inspired Clustering Algorithm, In IEEE 14th International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, 2018. p. 666-671.
[10] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, A. Ben Mnaouer and M. Zid. Linear WSN lifetime maximization for pipeline monitoring using hybrid K-means ACO clustering algorithm. In Wireless Days (WD), IEEE, 2018. p. 178-180.
[11] M. Abdelhafidh, L. Chaari Fourati, M. Fourati, and A. Abidi. Hybrid Mechanism for Remote Water Pipeline Monitoring System. In IEEE 13th International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, 2017. p. 2140-2145.
[12] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, and A. Abidi. Remote Water Pipeline Monitoring System IoT-based Architecture for new Industrial era 4.0. In IEEE/ACS 14th International Conference of Computer Systems and Applications (AICCSA), IEEE, 2017. p. 1184- 1191.
[13] M. Abdelhafidh, M. Fourati, L. Chaari Fourati, and A. Chouaya, Internet of Things in Industry 4.0 Case Study: Fluid Distribution Monitoring System. In 9th International Conference on Networks and Communications (NETCOM), 2017, p. 01-11.
[14] Maroua, A., Ons, J., Lamia, F. C., Mohamed, F., and Amor, A.. Design and implementation of wireless sensor network-monitoring system for leak detection. International Symposium on Signal, Image, Video and Communications (ISIVC), 2016. p. 7-12