Elmahedi Mahalal, Ph.D.
Assistant Professor
Education
Ph.D. in Computer Science, Tennessee Technological University, 2024
Areas of Interest
- Mobile and wireless networks, Wi-Fi, Li-Fi, IoT, UAV, 5G and beyond networks.
- Physical layer security, cyber physical systems and cybersecurity.
- AI application, security of AI and AI in security.
Selected Projects
Improving Network Security Using Generative AI, funded by AMD.
Recent Publications
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M., and Kato, N., "Toward Generalizable mmWave and Terahertz Deep Learning-Based Channel Prediction in 6G Networks," IEEE Open Journal of the Communications Society, 2026.
Hasan, E. and Mahalal, E., "Assessing the Cybersecurity Vulnerabilities of SCADA-based Smart Agriculture," IEEE 5th International Conference on Computing and Machine Intelligence, 2026.
Mahalal, E., Hasan, E., Ismail, M., Wu, Z.Y., Fouda, M.M., Fadlullah, Z.M., and Kato, N., "GAN-based Artificial Noise Generation Against Eavesdropping for Wireless Secret Key Generation in Dynamic Indoor LiFi Networks," IEEE Open Journal of Vehicular Technology, 2026.
Oli, A. and Mahalal, E., "UAV Security: Attacks, Defenses, and Open Challenges," IEEE Access, vol. 13, pp. 215606–215635, 2025.
Baniya, S., Mahalal, E., and Hilal, A., "A Review of Existing AI-Based IDSs in IoT: Challenges, Datasets, and Improvements," IEEE Consumer Technology Society, TRON Symposium (TRONSHOW), pp. 1–8, 2025.
Ikbarieh, S., Gupta, M., and Mahalal, E., "LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks," IEEE Global Conference on Artificial Intelligence and Internet of Things, 2025.
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Kato, N., "Sensing and Vision-aided Wireless Communication: Generalizable Deep Learning-Based Terahertz Channel Prediction for Indoor 6G Networks," IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), pp. 1–6, 2025.
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Kato, N., "How Can Integrated Sensing and Communication Enable Generalizable Learning in 6G Networks?," IEEE Network, 2025.
Mahalal, E., Hasan, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Fadlullah, Z.M., "Deep Learning-Based Physical Layer Authentication in LiFi Networks Under Multi-User Mobility," IEEE SoutheastCon 2025, pp. 776–781, 2025.
Mahalal, E., Hasan, E., Ismail, M., Wu, Z.Y., Fouda, M.M., Fadlullah, Z.M., and Kato, N., "Concept Drift Aware Wireless Key Generation in Dynamic LiFi Networks," IEEE Open Journal of the Communications Society, vol. 6, pp. 742–758, 2024.
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Fadlullah, Z.M., "Communication-aided Terahertz Sensing: A Novel Indoor People Counting System via Deep Learning," IEEE Virtual Conference on Communications (VCC), pp. 1–6, 2024.
Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Fadlullah, Z.M., "GAN-Assisted Secret Key Generation Against Eavesdropping in Dynamic Indoor LiFi Networks," IEEE 100th Vehicular Technology Conference (VTC2024-Fall), pp. 1–5, 2024.
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., and Kato, N., "Occupancy-level-aware Indoor Terahertz Channel Prediction: A Robust Deep Learning Approach," IEEE 100th Vehicular Technology Conference (VTC2024-Fall), pp. 1–7, 2024.
Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., Fadlullah, Z.M., and Kato, N., "Robust Deep Learning-Based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift," IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 899–904, 2024.
Hasan, E., Mahalal, E., Ismail, M., Wu, Z.Y., Fouda, M.M., Rodrigues, T.K., and Kato, N., "Robust Deep Learning-Based Indoor mmWave Channel Prediction Under Concept Drift," IEEE 98th Vehicular Technology Conference (VTC2023-Fall), pp. 1–5, 2023.
Mahalal, E., Ismail, M., Wu, Z.Y., and Fouda, M.M., "Characterization of Secret Key Generation in 5G+ Indoor Mobile LiFi Networks," IEEE Global Communications Conference (GLOBECOM), pp. 01–06, 2022.
Professional Associations and Honors
- Associate editor, IEEE Internet of Things Journal
- Track chair, IEEE CCNC 2024 — Wireless Communications: Fundamentals and PHY
- Track chair, IEEE VTC-Fall 2024 — Machine Learning II
- Reviewer: IEEE Internet of Things Journal, IEEE Consumer Communications & Networking Conference, Springer Peer-to-Peer Networking and Applications, IEEE Wireless Communications Letters, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Communications
- Travel grant, 2023 IEEE ComSoc School Series, Boston, USA
