Secure and Intelligent Systems Research Group
Dr. Mostafa M. Fouda
Ph.D. in Engineering and Applied Science (with a concentration in Electrical and Computer Engineering):
Ahmed F. Ashour
M.S. in Electrical and Computer Engineering:
M.S. in Computer Science:
Biraj Shakya (M.S. in Measurement and Control Engineering – F2021)
Secure and Smart Internet of Things (IoT)
Secure and Smart Cyber Physical Systems (CPS)
Secure and Smart Health Care Systems
Privacy Preserving Smart Grid Communications
Optimal Resources Allocation in 5G and Beyond Networks
Mostafa M. Fouda, Sadman Sakib, Zubair Md Fadlullah, Nidal Nasser, and Mohsen Guizani, “A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case,” IEEE Network, vol. 36, no. 6, pp. 38–45, Nov./Dec. 2022. (URL)
Mostafa M. Fouda, Sherief Hashima, Sadman Sakib, Zubair Md Fadlullah, Kohei Hatano, and Xuemin (Sherman) Shen, “Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach,” IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6853–6858, Jun. 2022. (URL)(PDF)
Ahmed F. Ashour and Mostafa M. Fouda, “AI-Based Approaches for Handover Optimization in 5G New Radio and 6G Wireless Networks,” Proc. of the 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE'23), Virtual Conference, Feb. 16–17, 2023. [Best paper award]
Biraj Shakya, Mostafa M. Fouda, Steve C. Chiu, and Zubair Md Fadlullah, “A Circuit-Embedded Reservoir Computer for Smart Noise Reduction of MCG Signals,” Proc. of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS’21), Virtual Conference, Nov. 23–24, 2021. (URL)(PDF)
Opportunity for MS/PhD study with a full scholarship under my supervision is available at the Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Idaho Falls, ID, USA. Research directions include (but not limited to): Applied Artificial Intelligence, IoT Security and Privacy; Privacy-Preserving Machine Learning; Smart Health Care Security and Privacy; and 6G Communications. Requirements include: (1) Master's degree in Computer Science, Computer Engineering, or a related discipline; (2) High GPA (above 3.5); (3) Good programming and mathematical analysis/optimization skills; and (4) Good TOEFL/IELTS scores.
Interested students, please send your CV, transcript(s), and your English proficiency scores to: firstname.lastname@example.org
Potential candidate(s) will be contacted for an interview over Zoom, particularly for verifying domain knowledge in the undergraduate project and/or Masters thesis, and programming skills.
Note: Applicants not fulfilling the aforementioned requirements will be deemed not serious, and will not be responded to.