Dr. Samia Dardouri | Biomedical Image Analysis and Informatics | Best Researcher Award
Assistant Professor at Shaqra University |Saudi Arabia
Dr. Samia Dardouri is an accomplished Assistant Professor of Computer Science at the College of Computing and Information Technology at Shaqra University in Saudi Arabia and an active researcher with the Innov’COM Laboratory at SUP’COM, University of Carthage, whose academic journey spans a distinguished Ph.D. in Computer Science, a Master’s degree in Communication Systems, and an Engineering degree in Telecommunications and Networks, forming the foundation of her strong interdisciplinary expertise across artificial intelligence, machine learning, deep learning, wireless networks, cybersecurity, cryptography, data analysis, and e-health systems; she has built a dynamic academic and research career through extensive university teaching in domains such as AI, advanced networking, information security, Python programming, optical transmission, VoIP, next-generation networks, and mobile radiocommunications, while contributing impactful research on deep learning applications, OFDMA network design, EM wave propagation, LTE performance optimization, IoT-enabled learning models, vehicular network routing, and cooperative game-theoretic resource allocation; her scholarly output includes journal articles, conference papers, and books addressing radio resource allocation, channel estimation, and high-mobility communication systems, complemented by her supervision of doctoral research in solar PV fault tolerance and IoT-based academic learning; Dr. Dardouri’s technical profile spans Python, Java, C/C++, SQL, network simulation, Cisco systems, Linux administration, and web technologies, supported by professional certifications in AI, cybersecurity, networking, Linux, and Microsoft systems, while her active participation in scientific projects, academic councils, and research associations highlights her dedication to collaborative innovation, knowledge advancement, and the development of intelligent, secure, and efficient computational systems that bridge cutting-edge research with impactful real-world applications.
Featured Publications:
Dardouri, S., & Bouallegue, R. (2015). Comparative study of downlink packet scheduling for LTE networks. Wireless Personal Communications, 82(3), 1405–1418.
Dardouri, S., & Bouallegue, R. (2014). Comparative study of scheduling algorithms for LTE networks. International Journal of Electronics and Communication Engineering, 8(3), 000–000.
Dardouri, S., & Bouallegue, R. (2015). A new scheduling algorithm for real-time communication in LTE networks. In Proceedings of the IEEE 29th International Conference on Advanced Information Networking and Applications (AINA).
Soumaya, D., Dardouri, S., & Bouallegue, R. (2020). Performance evaluation of routing protocols for vehicular ad-hoc networks using NS2/SUMO. In Workshops of the International Conference on Advanced Information Networking and Applications (WAINA).
Dardouri, S., Bouallegue, R., & Wei, A. (2016). Resource allocation using Nucleolus value in downlink LTE networks. In Proceedings of the IEEE Symposium on Computers and Communication (ISCC) (pp. 250–254).