S. Gunarathne, E. Eldeeb, N. H. Mahmood, and I. Atzeni, “A novel reinforcement learning based framework for scalable MIMO interference alignment,” IEEE Internet of Things Journal, May. 2026.

E. Eldeeb and H. Alves, "Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr. 2026.

C. Blake, E. Eldeeb, M. Shehab, H. Alves and M. -S. Alouini, "Semantic Communication Frameworks for Autonomous Vehicles," IEEE Internet of Things Magazine, Apr. 2026.

E. Eldeeb and H. Alves, "Offline and Distributional Reinforcement Learning for Future 6G Networks - A Tutorial," IEEE Open Journal of the Communications Society, Mar. 2026.

E. Eldeeb and H. Alves, "Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning," IEEE Transactions on Machine Learning in Communications and Networking, Jan. 2026.

E. Eldeeb and H. Alves, "An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management," IEEE Transactions on Mobile Computing, vol. 25, no. 1, pp. 1137-1150, Jan. 2026.

E. Eldeeb and H. Alves, "Offline Multi-Agent Reinforcement Learning for 6G Communications: Fundamentals, Applications and Future Directions," IEEE Wireless Communications, Dec. 2025.

Y. Etiabi, E. Eldeeb, M. Shehab, W. Njima, H. Alves, M.-S. Alouini, and E. M. Amhoud, "MetaGraphLoc: A graph-based meta-learning scheme for indoor localization via sensor fusion," Submitted to IEEETransactions on Machine Learning in Communications and Networking, Dec. 2025.

L. Marata, J. Sankari, E. Eldeeb, M. Valkama and ES. Lohan, "Meta-Learning Based Radio Frequency Fingerprinting for GNSS Spoofing Detection," Submitted to IEEE Transactions on Aerospace and Electronic Systems, Nov. 2025.

S. Sarathchandra, E. Eldeeb, M. Shehab, H. Alves, K. Mikhaylov and M. -S. Alouini, "Age and Power Minimization via Meta-Deep Reinforcement Learning in AAV Networks," IEEE Transactions on Vehicular Technology, vol. 74, no. 11, pp. 16839-16849, Nov. 2025.

H. Farhadi, B. Banerjee, R. Berkvens, NN. Bhat, E. Bodji, D. Dampahalage, E. Eldeeb et al., "6G AI-Driven Air Interface — Hexa-X-II View," IEEE Communications Magazine, vol. 63, no. 10, pp. 118-125, Oct. 2025.

R. Pallewela, E. Eldeeb and H. Alves, "An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications," 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), Oslo, Norway, 2025, pp. 1-6.

E. Eldeeb and H. Alves, "Offline and Distributional Reinforcement Learning for Wireless Communications," IEEE Communications Magazine, vol. 63, no. 8, pp. 71-76, Aug. 2025.

E. Eldeeb and H. Alves, "Offline and Distributional Reinforcement Learning for Radio Resource Management," 2025 Joint European Conference on Networks and Communications \& 6G Summit (EuCNC/6G Summit), Poznan, Poland, 2025, pp. 1-6.

E. Eldeeb, H. Sifaou, O. Simeone, M. Shehab and H. Alves, "Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning," IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 1913-1926, June 2025.

E. Eldeeb, M. Shehab, H. Alves and M. -S. Alouini, "Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification," IEEE Transactions on Machine Learning in Communications and Networking, vol. 3, pp. 491-501, April 2025.

D. Gutierrez-Rojas, C. Kalalas, I. Christou, G. Almeida, E. Eldeeb et al., "Detection and Classification of Anomalies in WSN-Enabled Cyber-Physical Systems," IEEE Sensors Journal, vol. 25, no. 4, pp. 7193-7204, Feb. 2025.

M. V. da Silva, E. Eldeeb, M. Shehab, H. Alves and R. D. Souza, "Distributed Learning Methodologies for Massive Machine Type Communication," IEEE Internet of Things Magazine, vol. 8, no. 1, pp. 102-108, Jan. 2025.

E. Eldeeb, M. Shehab and H. Alves, "A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles," IEEE Wireless Communications Letters, vol. 13, no. 12, pp. 3469-3473, Dec. 2024.

E. Eldeeb, M. Shehab and H. Alves, "Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models," IEEE Internet of Things Journal, vol. 11, no. 8, pp. 13496-13508, April 2024.

E. Eldeeb and H. Alves, "LoRaWAN-Enabled Smart Campus: The Data Set and a People Counter Use Case," IEEE Internet of Things Journal, vol. 11, no. 5, pp. 8569-8577, March 2024.

E. Eldeeb, M. Shehab and H. Alves, "Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach," 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 2023, pp. 1-6.

E. Eldeeb, J. M. d. S. Sant'Ana, D. E. Pérez, M. Shehab, N. H. Mahmood and H. Alves, "Multi-UAV Path Learning for Age and Power Optimization in IoT With UAV Battery Recharge," IEEE Transactions on Vehicular Technology, vol. 72, no. 4, pp. 5356-5360, April 2023.

E. Eldeeb, M. Shehab, A. E. Kalør, P. Popovski and H. Alves, "Traffic Prediction and Fast Uplink for Hidden Markov IoT Models," IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17172-17184, Sept. 2022.

E. Eldeeb, D. E. Pérez, J. M. d. S. Sant'Ana, M. Shehab, N. H. Mahmood, H. Alves and M. Latva-Aho, "A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks," 2022 Joint European Conference on Networks and Communications \& 6G Summit (EuCNC/6G Summit), Grenoble, France, 2022, pp. 172-177.

E. Eldeeb, M. Shehab and H. Alves, "A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory," IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3889-3898, March 2022.