Research Activities

Dr. Alsuhli’s research focuses on Artificial Intelligence (AI) applications in biomedical engineering, healthcare, and communication networks, with an emphasis on lightweight AI models, hardware acceleration, and post-quantum cryptography. She has published in high-impact Q1 journals, authored a Springer Nature book, and presented at leading IEEE conferences.

Book
  • G. Alsuhli, V. Sakellariou, H. Saleh, M. Al-Qutayri, B. Mohammad, and T. Stouraitis, Number Systems for Deep Neural Network Architectures. Springer Nature, 2023.
Selected Journal Publications
  • G. Alsuhli, H. Saleh, M. Al-Qutayri, B. Mohammad, and T. Stouraitis, “Efficient NTT/INTT Processor for FALCON Post-Quantum Cryptography,” Journal of Information Security and Applications, 2025. 
  • G. Jaradat, M. F. Tolaba, G. Alsuhli, H. Saleh, M. Al-Qutayri, B. Mohammad, and T. Stouraitis, “Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inference,” IEEE Transactions on Artificial Intelligence, 2025.
  • G. Alsuhli, H. Saleh, M. Al-Qutayri, B. Mohammad, and T. Stouraitis, “Number Systems for Deep Neural Network Architectures: A Survey,” Proceedings of the IEEE, 2025. 
  • G. Alsuhli, H. Saleh, M. Al-Qutayri, B. Mohammad, and T. Stouraitis, “Area and Power Efficient FFT/IFFT Over Ring Processor for FALCON Post-Quantum Cryptography Polynomial Operations,” IEEE Transactions on Emerging Topics in Computing, 2024. 
  • B. Salama Attia, A. Elgharably, M. Aboelwafa, G. Alsuhli, K. Banawan, and K. Seddik, “Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework with Hybrid Action Space,” IEEE Open Journal of the Communications Society, 2024. 
  • G. Alsuhli, K. Banawan, K. Attiah, A. Elezabi, K. Seddik, A. Gaber, M. Zaki, and Y. Gadallah, “Mobility Load Management in Cellular Networks: A Deep Reinforcement Learning Approach,” IEEE Transactions on Mobile Computing, vol. 22, no. 3, pp. 1581–1598, 2023. 
  • G. Alsuhli, A. Fahim, and Y. Gadallah, “A Survey on the Role of UAVs in the Communication Process: A Technological Perspective,” Computer Communications, 2022.
  • G. Alsuhli, A. Khattab, and Y. A. Fahmy, “A Bio-Inspired Metaheuristic Framework for Clustering Optimization in VANETs,” IET Intelligent Transport Systems, vol. 13, no. 9, pp. 1421–1428, 2019. 
Conference Publications
  • M. Aboelwafa, G. Alsuhli, K. Banawan, and K. Seddik, “Self-Optimization of Cellular Networks Using Deep Reinforcement Learning with Hybrid Action Space,” in Proc. IEEE Consumer Communications & Networking Conference (CCNC), pp. 223–229, 2022.
  • B. Zerom, M. Tolba, H. Tesfai, H. Saleh, M. Al-Qutayri, T. Stouraitis, B. Mohammad, and G. Alsuhli, “Approximate Logarithmic Multiplier for Convolutional Neural Network Inference with Computational Reuse,” in Proc. IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, UK, 2022, pp. 1–4.
  • G. Alsuhli, K. Banawan, A. Elezabi, and K. Seddik, “Self-Optimized Power and Cell Individual Offset for Load Balancing Using Reinforcement Learning,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), 2021.
  • G. Alsuhli, H. Ismail, K. Alansary, M. Rumman, M. Mohamed, and K. Seddik, “Deep Reinforcement Learning-Based CIO and Energy Control for LTE Mobility Load Balancing,” in Proc. IEEE Consumer Communications & Networking Conference (CCNC), 2021.
  • G. Alsuhli, A. Khattab, and Y. A. Fahmy, “An Evolutionary Approach for Optimized Clustering in VANETs,” in Proc. IEEE International Conference on Microelectronics (ICM), 2019.
  • G. Alsuhli, A. Khattab, and Y. A. Fahmy, “Enhanced Urban Clustering in VANETs Using Online Machine Learning,” in Proc. IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2019.
  • G. Alsuhli and A. Khattab, “A Fog-Based IoT Platform for Smart Buildings,” in Proc. IEEE International Conference on Innovative Trends in Computer Engineering (ITCE),  2019.
  • G. Alsuhli, A. Khattab, and Y. A. Fahmy, “A Mobility-Based Double-Head Clustering Algorithm for Dynamic VANET,” in Proc. IEEE International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC), 2018.
  • G. Alsuhli and A. Khattab, “An IoT Monitoring and Control Platform for Museum Content Conservation,” in Proc. IEEE International Conference on Computer and Applications (ICCA), 2018.

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