R. Abdelfattah, K. Abdelfatah, M. M. Fouda, Z. M. Fadlullah, M. Abouyoussef, and M. I. Ibrahem, "Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection," IEEE Internet of Things (IoT) Journal, 2025.
I. Batool, M. M. Fouda, M. Ismail, M. Ibrahem, Z. M. Fadlullah, and N. Kato, "Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework," IEEE Open Journal of the Communications Society (OJ-COMS), revision requested, 2025.
I. Batool, M. M. Fouda, and Z. M. Fadlullah, "AI-Native Predictive Scheduling for Computing Power Networks: A Multi-Scale Learning Framework for Ultra-Low Latency 6G Applications," IEEE Transactions on Network Science and Engineering, revision requested, 2025.
I. Batool, M. M. Fouda, M. Ismail, M. I. Ibrahem, K. Rabie, S. Verma, and Z. M. Fadlullah, "Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach," IEEE Internet of Things (IoT) Journal, 2025.
M. M. A. Gusaibat, M. Hnaish, A. Salem, K. Rabie, Z. M. Fadlullah, W. Khan, M. Alawad, and Y. Alkhrijah, "Effect of Phase Shift Errors on the Security of UAV-Assisted STAR-RIS IoT Networks," IEEE Internet of Things (IoT) Journal, revision requested, 2025.
H. AbdelRaouf, M. Abouyoussef, M. M. Fouda, Z. M. Fadlullah, M. Ibrahem, and R. Lu, "Privacy-Aware Blockchain Approach for Efficient and Secure Heart Attack Detection in E-Health," IEEE Transactions on Dependable and Secure Computing (TDSC), submitted, 2025.
Y. Mohamed, M. M. Fouda, Z. M. Fadlullah, R. Abdelfattah, and M. I. Ibrahem, "BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market," IEEE Open Journal of the Computer Society, 2025.
I. Batool, M. M. Fouda, M. Ismail, Z. M. Fadlullah, and N. Kato, "Privacy-Embedded Spectrum Coordination in 6G V2X Networks: An Attention-Driven Multi-Agent Learning Approach," IEEE Network Magazine, submitted, 2025.
A. Bakr, T. Atkison, M. M. Fouda, and Z. M. Fadlullah, "Benchmarking NVFlare Federated Algorithms in Decentralized Parking Space Detection and Classification Framework," IEEE Internet of Things Journal, revision requested, 2025.
I. Batool, M. M. Fouda, M. Ibrahim, and Z. M. Fadlullah, "Privacy-Preserving Federated Meta-Learning for Cell-Free Massive MIMO: Instant Adaptation with Distributed Intelligence," IEEE Internet of Thing Journal, submitted, 2025.
H. Khaled, Q. R. Hasnaine, M. M. Fouda, Z. M. Fadlullah, and M. Ibrahem, "A Survey on Paradigm Shifts from Centralized AI to Distributed Learning in Resource-Constrained IoT Systems: Opportunities and Challenges," IEEE Open Journal of the Communications Society (OJCOMS), submitted, 2025.
I. Batool, M. M. Fouda, and Z. M. Fadlullah, "H-MARC: Hierarchical Mobile Adaptive Relay Control for Ultra-Reliable mmWave Communications in 6G Networks," IEEE Internet of Thing Journal, submitted, 2025.
A. Aboulfotouh, Z. M. Fadlullah, M. M. Fouda, M. Ismail, and D. Niyato, "Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency," IEEE Internet of Things (IoT) Journal, vol. 12, no. 13, pp. 23139-23153, 2025.
I. Batool, M. M. Fouda, M. Ismail, K. Rabie, S. Verma, and Z. M. Fadlullah, "AMADRL: Privacy-Aware Attention-Based Multi-Agent Deep Reinforcement Learning for Optimizing Spectral Allocation in 6G Vehicular Networks," IEEE IoT Journal, revision requested, 2025.
I. Batool, M. M. Fouda, M. Ismail, and Z. M. Fadlullah, "QUINOA: Quantum-Unified Intelligent Network Orchestration and Automation for 6G Heterogeneous Networks," IEEE Open Journal of the Communications Society (OJ-COMS), submitted, 2025.
M. M. Fouda, Z. M. Fadlullah, M. I. Ibrahem, and N. Kato, "Privacy-preserving data-driven learning models for emerging communication networks: A comprehensive survey," IEEE Communications Surveys & Tutorials, 2024.
G. Gad, A. Farrag, A. Aboulfotouh, K. Bedda, Z. M. Fadlullah, and M. M. Fouda, "Joint self-organizing maps and knowledge-distillation-based communication-efficient federated learning for resource-constrained UAV-IoT systems," IEEE Internet of Things (IoT) Journal, vol. 11, no. 9, pp. 15504-15522, 2024.
E. Mahalal, E. Hasan, M. Ismail, Z. Wu, M. M. Fouda, Z. M. Fadlullah, and N. Kato, "Concept Drift Aware Wireless Key Generation In Dynamic LiFi Networks," IEEE Open Journal of the Communications Society, vol. 6, pp. 742-758, 2024.
A. Dev, M. M. Fouda, L. Kerby, and Z. M. Fadlullah, "Advancing malaria identification from microscopic blood smears using hybrid deep learning frameworks," IEEE Access, vol. 12, pp. 71705-71715, 2024.
G. Gad, E. Gad, Z. M. Fadlullah, M. M. Fouda, and N. Kato, "Communication-efficient and privacy-preserving federated learning via joint knowledge distillation and differential privacy in bandwidth-constrained networks," IEEE Transactions on Vehicular Technology, vol. 73, no. 11, pp. 17586-17601, 2024.
A. Farrag, G. Gad, Z. M. Fadlullah, M. M. Fouda, and M. Alsabaan, "An explainable AI system for medical image segmentation with preserved local resolution: Mammogram tumor segmentation," IEEE Access, vol. 11, pp. 125543-125561, 2023.
M. S. Abdalzaher, M. M. Fouda, A. Emran, Z. M. Fadlullah, and M. I. Ibrahem, "A Survey on Key Management and Authentication Approaches in Smart Metering Systems," Energies, vol. 16, no. 2355, pp. 1-27, 2023.
A. Farrag, Z. M. Fadlullah, M. M. Fouda, and N. S. Almalki, "Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models," IEEE Access, vol. 11, pp. 134404-134420, 2023.
W. Zou, B. Mao, Z. M. Fadlullah, and K. Qi, "Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach," IEEE Access, vol. 10, 2022.
B. Mughal, Z. M. Fadlullah, M. M. Fouda, and S. Ikki, "Optimizing Packet Forwarding Performance in Multiband Relay Networks via Customized Reinforcement Learning," IEEE Open Journal of the Communications Society (OJCOMS), vol. 3, 2022.
S. Hashima, K. Hatano, M. M. Fouda, Z. M. Fadlullah, and E. M. Mohamed, "Cost-Aware Bandits for Efficient Channel Selection in Hybrid Band Networks," MDPI Electronics, vol. 11, no. 11, 2022.
M. M. Fouda, S. Hashima, S. Sakib, Z. M. Fadlullah, K. Hatano, and X. Shen, "Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach," IEEE Transactions on Vehicular Technology, vol. 71, no. 6, 2022.
M. M. Fouda, S. Sakib, Z. M. Fadlullah, N. Nasser, and M. Guizani, "A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case," IEEE Network, vol. 36, no. 6, 2022.
S. Sakib, M. M. Fouda, M. Al-Mahdawi, A. Mohsen, M. Oogane, Y. Ando, and Z. M. Fadlullah, "Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics," IEEE Access, vol. 10, pp. 2656-2668, Jan. 2022.
N. Nasser, Z. M. Fadlullah, M. M. Fouda, A. Ali, and M. Imran, "A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept," Elsevier Computer Networks, vol. 205, 2022.
S. Hashima, M. M. Fouda, S. Sakib, Z. M. Fadlullah, K. Hatano, E. M. Mohamed, and X. Shen, "Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach," IEEE Internet of Things Journal, vol. 9, no. 18, 2022.
S. Hashima, Z. M. Fadlullah, M. M. Fouda, E. M. Mohamed, K. Hatano, B. M. ElHalawany, and M. Guizani, "On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities," IEEE Network, 2022.
G. Gad and Z. M. Fadlullah, "Federated Learning via Augmented Knowledge Distillation for Heterogenous Deep Human Activity Recognition Systems," MDPI Sensors, 2022.
G. Gad, E. Gad, K. Cengiz, Z. M. Fadlullah, and B. Mokhtar, "Deep Learning-Based Context-Aware Video Content Analysis on IoT Devices," MDPI Electronics, 2022.
Z. M. Fadlullah, B. Mao, and N. Kato, "Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning," IEEE Communications Surveys & Tutorials (COMST), vol. 24, no. 4, 2022.
S. Iyer, R. Khanai, D. Torse, R. J. Pandya, K. M. Rabie, K. Pai, W. U. Khan, and Z. M. Fadlullah, "A Survey on Semantic Communications for Intelligent Wireless Networks," Wireless Personal Communications, 2022.
S. Sakib, M. M. Fouda, Z. M. Fadlullah, N. Nasser, and W. Alasmary, "A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach," IEEE Access, vol. 9, pp. 26093-26106, Feb. 2021.
T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "UV-CDS: An Energy-Efficient Scheduling of UAVs for Premises Sterilization," IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1191-1201, Sep. 2021.
Z. M. Fadlullah and N. Kato, "On Smart IoT Remote Sensing over Integrated Terrestrial-Aerial-Space Networks: An Asynchronous Federated Learning Approach," IEEE Network, vol. 35, no. 5, pp. 129-135, Sep./Oct. 2021.
T. Tazrin, Q. A. Rahman, M. M. Fouda, and Z. M. Fadlullah, "LiHEA: Migrating EEG Analytics to Ultra-Edge IoT Devices With Logic-in-Headbands," IEEE Access, vol. 9, pp. 138834-138848, 2021.
Z. M. Fadlullah and A. Benslimane, "Joint Provisioning of QoS and Security in IoD Networks: Classical Optimization Meets AI," IEEE Internet of Things Magazine, vol. 4, no. 4, Dec. 2021.
A. B. M. B. Alam, Z. M. Fadlullah, and S. Choudhury, "A Resource Allocation Model Based on Trust Evaluation in Multi-Cloud Environments," IEEE Access, vol. 9, pp. 105577-105587, 2021.
E. M. Mohamed, S. Hashima, K. Hatano, M. M. Fouda, and Z. M. Fadlullah, "Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing," IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 12101-12112, Nov. 2021.
S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and M. Guizani, "DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach," IEEE Access, vol. 8, pp. 171575-171589, Sep. 2020.
S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach," IEEE Internet of Things Journal, vol. 8, no. 7, Oct. 2020.
B. Mughal, Z. M. Fadlullah, and S. Ikki, "Centralized Versus Heuristic-Based Distributed Channel Allocation to Minimize Packet Transmission Delay for Multiband Relay Networks," IEEE Networking Letters, vol. 2, no. 4, pp. 180-184, Dec. 2020.
S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks," IEEE Network Magazine, vol. 35, no. 1, pp. 266-272, Sep. 2020.
Z. M. Fadlullah and N. Kato, "HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks," IEEE Transactions on Emerging Topics in Computing (TETC), Apr. 2020.
Z. M. Fadlullah, B. Mao, F. Tang, and N. Kato, "Value Iteration Architecture based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms," IEEE Transactions on Computers, vol. 68, no. 6, pp. 939-950, June 2019.
Z. M. Fadlullah, Y. Kawamoto, H. Nishiyama, N. Kato, N. Egashira, K. Yano, and T. Kumagai, "Multi-hop Wireless Transmission in Multi-band WLAN Systems: Proposal and Future Perspective," IEEE Wireless Communications Magazine (WCM), vol. 26, no. 1, pp. 108-113, Feb. 2019.
N. Kato, Z. M. Fadlullah, F. Tang, B. Mao, S. Tani, A. Okamura, and J. Liu, "Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence," IEEE Wireless Communications Magazine (WCM), vol. 26, no. 4, pp. 140-147, Aug. 2019.
F. Tang, Z. M. Fadlullah, B. Mao, N. Kato, F. Ono, and R. Miura, "On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs," IEEE Transactions on Emerging Topics in Computing, vol. 7, no. 4, pp. 565-577, Oct.-Dec. 2019.
F. Tang, B. Mao, Z. M. Fadlullah, J. Liu, and N. Kato, "ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System," IEEE Transactions on Sustainable Computing, Jul. 2019.
B. Mao, F. Tang, Z. M. Fadlullah, and N. Kato, "An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems," IEEE Transactions on Emerging Topics in Computing (TETC), vol. 7, no. 4, pp. 565-577, Oct.-Dec. 2019.
B. Mao, F. Tang, Z. M. Fadlullah, and N. Kato, "An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios," IEEE Transactions on Computers, vol. 68, no. 9, pp. 1256-1268, Sept. 2019.
F. Tang, Z. M. Fadlullah, B. Mao, and N. Kato, "An Intelligent Traffic Load Prediction Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5141-5154, Dec. 2018.
Z. M. Fadlullah, F. Tang, B. Mao, J. Liu, and N. Kato, "On Intelligent Traffic Control For Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach," IEEE Communication Letters, vol. 22, no. 12, pp. 2479-2482, Dec. 2018.
Y. Zhou, Z. M. Fadlullah, B. Mao, and N. Kato, "A Deep Learning Based Radio Resource Assignment Technique For 5G Ultra Dense Networks," IEEE Network Magazine, vol. 32, no. 6, pp. 28-34, Nov. 2018.
H. Guo, J. Liu, Z. M. Fadlullah, and N. Kato, "On Minimizing Energy Consumption in FiWi Enhanced LTE-A HetNets," IEEE Transactions on Emerging Topics in Computing, vol. 6, no. 4, pp. 579-591, Oct. 2018.
J. Liu, Y. Shi, Z. M. Fadlullah, and N. Kato, "Space-Air-Ground Integrated Network: A Survey," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 2714-2741, Oct. 2018.
F. Tang, B. Mao, Z. M. Fadlullah, and N. Kato, "On a Novel Deep Learning Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT," IEEE Communication Magazine, vol. 56, no. 9, pp. 80-86, Sept. 2018.
B. Mao, F. Tang, Z. M. Fadlullah, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "A Novel Non-supervised Deep Learning Based Network Traffic Control Method for Software Defined Wireless Networks," IEEE Wireless Communications Magazine, vol. 25, no. 4, pp. 74-81, Aug. 2018.
Y. Shi, J. Liu, Z. M. Fadlullah, and N. Kato, "Cross-layer Data Delivery in Satellite-Aerial-Terrestrial Communication," IEEE Wireless Communications Magazine, vol. 25, no. 3, pp. 138-143, June 2018.
Y. Qiao, Z. Xing, Z. M. Fadlullah, J. Yang, and N. Kato, "Characterizing Flow, Application, and User Behavior in Mobile Networks – A Framework for Mobile Big Data," IEEE Wireless Communications Magazine (WCM), Special Issue - Wireless Big Data, vol. 25, no. 1, pp. 40-49, Feb. 2018.
F. Tang, Z. M. Fadlullah, N. Kato, F. Ono, and R. Miura, "AC-POCA: AntiCoordination Game based Partially Overlapping Channels Assignment in Combined UAV and D2D based Networks," IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1672-1683, Feb. 2018.
F. Tang, B. Mao, Z. M. Fadlullah, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control," IEEE Wireless Communications Magazine (WCM), vol. 25, no. 1, pp. 154-160, Feb. 2018.
B. Mao, Z. M. Fadlullah, F. Tang, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning," IEEE Transactions on Computers, vol. 66, no. 11, pp. 1946-1960, Nov. 2017.
Z. M. Fadlullah, F. Tang, B. Mao, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems," IEEE Communications Surveys and Tutorials, vol. 19, no. 4, pp. 2432-2455, May 2017.
S. Verma, Y. Kawamoto, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues," IEEE Communications Surveys and Tutorials, vol. 19, no. 3, pp. 1457-1477, Apr. 2017.
Z. M. Fadlullah, C. Wei, Z. Shi, and N. Kato, "GT-QoSec: A Game-Theoretic Joint Optimization of QoS and Security for Differentiated Services in Next Generation Heterogeneous Networks," IEEE Transactions on Wireless Communications (TWC), vol. 16, no. 2, pp. 1037-1050, Feb. 2017.
N. Kato, Z. M. Fadlullah, B. Mao, F. Tang, O. Akashi, T. Inoue, and K. Mizutani, "The Deep Learning Vision for Heterogeneous Network Traffic Control – Proposal, Challenges, and Future Perspective," IEEE Wireless Communications (WCM), vol. 24, no. 3, pp. 146-153, Dec. 2016.
J. Liu, H. Guo, Z. M. Fadlullah, and N. Kato, "Energy Consumption Minimization for FiWi Enhanced LTE-A HetNets with UE Connection Constraint," IEEE Communications Magazine, Special Issue on 5G RAN, vol. 54, no. 11, pp. 56-62, Nov. 2016.
Z. M. Fadlullah, W. Chao, Z. Shi, and N. Kato, "Joint Optimization of QoS and Security for Differentiated Applications in Heterogeneous Networks," IEEE Wireless Communications Magazine, vol. 23, no. 3, pp. 74-81, Jan. 2016.
T. Sakano, S. Kotabe, T. Komukai, T. Kumagai, Y. Shimizu, A. Takahara, T. Ngo, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "Bringing Movable and Deployable Networks to Disaster Areas: Development and Field Test of MDRU," IEEE Network Magazine, vol. 30, no. 1, pp. 86-91, Jan. 2016.
Z. M. Fadlullah, D. Takaishi, H. Nishiyama, N. Kato, and R. Miura, "A Dynamic Trajectory Control Algorithm for Improving the Communication Throughput and Delay in UAV-aided Networks," IEEE Network, vol. 30, no. 1, pp. 100-105, Jan. 2016.
K. Miyanabe, K. Suto, Z. M. Fadlullah, H. Nishiyama, N. Kato, H. Ujikawa, and K. Suzuki, "A cloud radio access network with power over fiber toward 5G networks: QoE-guaranteed design and operation," IEEE Wireless Communications, vol. 22, no. 4, pp. 58-64, Aug. 2015.
Z. M. Fadlullah, T. Nakajo, H. Nishiyama, Y. Owada, K. Hamaguchi, and N. Kato, "Field Measurement of an Implemented Solar Powered BS-based Wireless Mesh Network," IEEE Wireless Communications Magazine, vol. 22, no. 3, pp. 137-143, July 2015.
W. Zhao, H. Nishiyama, Z. M. Fadlullah, N. Kato, and K. Hamaguchi, "DAPA: Capacity Optimization in Wireless Networks through a Combined Design of Density of Access Points and Partially Overlapped Channel Allocation," IEEE Transactions on Vehicular Technology, vol. 65, no. 5, May 2015.
A. E. A. A. Abdulla, Z. M. Fadlullah, H. Nishiyama, N. Kato, F. Ono, and R. Miura, "Toward Fair Maximization of Energy Efficiency in Multiple UAS-aided Networks: A Game-Theoretic Methodology," IEEE Transactions on Wireless Communications, vol. 14, no. 1, pp. 305-316, Jan. 2015.
C. Wei, Z. M. Fadlullah, N. Kato and A. Takeuchi, "GT-CFS: A Game Theoretic Coalition Formulation Strategy for Reducing Power Loss in Micro Grids," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 9, pp. 2307-2317, Sept. 2014.
S. Arai, Z. M. Fadlullah, T. Ngo, H. Nishiyama, and N. Kato, "An Efficient Method for Minimizing Energy Consumption of User Equipment in Storage-Embedded Heterogeneous Networks," IEEE Wireless Communications, vol. 21, no. 4, pp. 70-76, Aug. 2014.
C. Wei, Z. M. Fadlullah, N. Kato, and I. Stojmenovic, "On Optimally Reducing Power Loss in Micro-Grids with Power Storage Devices," IEEE Journal on Selected Areas in Communications (JSAC), vol. 32, no. 7, pp. 1361-1370, Jul. 2014.
Y. Kawamoto, Z. M. Fadlullah, H. Nishiyama, N. Kato, and M. Toyoshima, "Prospects and Challenges of Context-aware Multimedia Content Delivery in Cooperative Satellite and Terrestrial Networks," IEEE Communications Magazine, vol. 52, no. 6, pp. 55-61, Jun. 2014.
Z. M. Fadlullah, D. M. Quan, N. Kato, and I. Stojmenovic, "GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid," IEEE Systems Journal, vol. 8, no. 2, pp. 588-597, June 2014.
H. Nishiyama, D. Fomo, Z. M. Fadlullah, and N. Kato, "Traffic Pattern Based Content Leakage Detection for Trusted Content Delivery Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 2, pp. 301-309, Feb. 2014.
Z. M. Fadlullah, H. Nishiyama, Y. Kawamoto, H. Ujikawa, K. Suzuki, and N. Yoshimoto, "Cooperative QoS Control Scheme based on Scheduling Information in FiWi Access Network," IEEE Transactions on Emerging Topics in Computing (TETC), vol. 1, no. 2, pp. 375-383, Dec. 2013.
Y. Kawamoto, H. Nishiyama, Z. M. Fadlullah, and N. Kato, "Effective Data Collection via Satellite-Routed Sensor System (SRSS) to Realize Global-Scaled Internet of Things," IEEE Sensors Journal, vol. 13, no. 10, pp. 3645-3654, Oct. 2013.
T. Sakano, Z. M. Fadlullah, T. Ngo, H. Nishiyama, M. Nakazawa, F. Adachi, N. Kato, A. Takahara, T. Kumagai, H. Kasahara, and S. Kurihara, "Disaster-Resilient Networking: A New Vision Based on Movable and Deployable Resource Units," IEEE Network Magazine, vol. 27, no. 4, pp. 40-46, Aug. 2013.
Z. M. Fadlullah, H. Nishiyama, N. Kato, and M. M. Fouda, "Intrusion Detection System (IDS) for Combating Attacks Against Cognitive Radio Networks," IEEE Network Magazine, vol. 27, no. 3, pp. 51-56, June 2013.
Z. M. Fadlullah, H. Nishiyama, N. Kato, H. Ujikawa, K. Suzuki, and N. Yoshimoto, "Smart FiWi Networks: Challenges and Solutions for QoS and Green Communications," IEEE Intelligent Systems, vol. 28, no. 2, pp. 86-91, Apr. 2013.
M. M. Fouda, Z. M. Fadlullah, M. Guizani, and N. Kato, "A Novel P2P VoD Streaming Technique Integrating Localization and Congestion Awareness Strategies," Springer Mobile Networks and Applications (MONET), vol. 17, no. 5, pp. 594-603, Oct. 2012.
Z. M. Fadlullah, N. Kato, R. Lu, X. Shen, and Y. Nozaki, "Toward Secure Targeted Broadcast in Smart Grid," IEEE Communications Magazine, vol. 50, no. 5, pp. 150-156, May 2012.
P. B. F. Duarte, Z. M. Fadlullah, A. V. Vasilakos, and N. Kato, "On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic Approach," IEEE Journal on Selected Areas in Communications, vol. 30, no. 1, pp. 119-127, Jan. 2012.
M. M. Fouda, Z. M. Fadlullah, N. Kato, R. Lu, and X. Shen, "A Lightweight Message Authentication Scheme for Smart Grid Communications," IEEE Transactions on Smart Grid, vol. 2, no. 4, pp. 675-685, Dec. 2011.
Q. Chen, Z. M. Fadlullah, X. Lin, and N. Kato, "A Clique-based Secure Admission Control Scheme for Mobile Ad hoc Networks (MANETs)," Journal of Network and Computer Applications, vol. 34, no. 6, pp. 1827-1835, Nov. 2011.
H. Nakayama, Z. M. Fadlullah, N. Ansari, and N. Kato, "A Novel Scheme for WSAN Sink Mobility based on Clustering and Set Packing Techniques," IEEE Transactions on Automatic Control, vol. 56, no. 10, pp. 2381-2389, Oct. 2011.
Z. M. Fadlullah, M. M. Fouda, X. Shen, Y. Nozaki, and N. Kato, "An Early Warning System Against Malicious Activities for Smart Grid Communications," IEEE Network Magazine, vol. 25, no. 5, pp. 50-55, Oct. 2011.
Z. M. Fadlullah, M. M. Fouda, N. Kato, A. Takeuchi, N. Iwasaki, and Y. Nozaki, "Toward Intelligent Machine-to-Machine Communications in Smart Grid," IEEE Communications Magazine, vol. 49, no. 4, pp. 60-65, Apr. 2011.
H. Nishiyama, Z. M. Fadlullah, and N. Kato, "Inter-Layer Fairness Problem in TCP Bandwidth Sharing in 10G-EPON," IEEE Systems Journal, vol. 4, no. 4, pp. 432-439, Dec. 2010.
Z. M. Fadlullah, T. Taleb, A. Vasilakos, M. Guizani, and N. Kato, "DTRAB: Combating Against Attacks on Encrypted Protocols Through Traffic-Feature Analysis," IEEE/ACM Transactions on Networking, vol. 18, no. 4, pp. 1234-1247, Aug. 2010.
L. Tarkh, M. Li, I. Batool, M. M. Fouda, M. I. Ibrahem, H. Lutfiyya, and Z. M. Fadlullah, "MAGHE: A Predictive Mobility-Aware Framework for VNF Embedding in B5G Networks," 2025 IEEE Virtual Conference on Communications (VCC), 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, S. Verma, and Z. M. Fadlullah, "Federated Meta-Learning for Ultra-Fast Resource Allocation in Dense Cell-Free Massive MIMO 6G Networks," IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2025.
I. Batool, G. Gad, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "EXAD: Framework for Designing Explanations in Adaptive User Interfaces," 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, M. Ismail, and Z. M. Fadlullah, "Adaptive Resource Allocation in Emerging High-mobility Networks Using Hybrid Deep Learning Models," IEEE ICC, Montreal, Canada, 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, M. Ismail, S. Verma, and Z. M. Fadlullah, "Hybrid Trajectory Prediction for Robust THz Beam Alignment in Mobile Networks," 2025 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2025.
O. Ahmad, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "PR-EML: Physics-Respecting and Explainable Machine Learning for Proactive Multi-Band Adaptation in UAV-V2X Networks," IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, M. Ismail, S. Verma, and Z. M. Fadlullah, "Energy-Efficient Dynamic Spectrum Allocation for Massive THz IoT Networks Using Quantum Approximate Optimization Algorithm," IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2025.
R. Bajgaj, M. I. Ismail, Z. M. Fadlullah, and M. M. Fouda, "Machine Learning-Based Parameter Optimization for Real-World ISAC System Using USRP Testbed," IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2025.
E. Mahalal, E. Hasan, M. Ismail, Z.-Y. Wu, M. M. Fouda, and Z. M. Fadlullah, "Deep Learning-based Physical Layer Authentication in LiFi Networks Under Multi-User Mobility," SoutheastCon 2025, 2025.
S. Hashima, E. M. Mohamed, K. Hatano, E. Takimoto, Z. M. Fadlullah, and M. M. Fouda, "Contextual Thompson Sampling for Airborne RIS in mmWave-Enabled Metaverse Networks," 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 2025.
H. A. AbdelRaouf, M. Abouyoussef, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Self-Evolving Health Monitoring with Decentralized and Privacy-Enhancing Drift-Responsive Learning," 2025 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2025.
H. Kaddour, E. Hasan, M. M. Fouda, M. Ismail, Z. M. Fadlullah, and N. Kato, "Generalizable Deep Reinforcement Learning-Based Intelligent Handover in Indoor WiGig Networks," IEEE VTC 2025 - Fall, Chengdu, China, 2025.
G. Gad, I. Batool, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "Enhanced Environmental Awareness and Security for Smart Devices using WiFi-Sensing," 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), 2025.
S. Hashima, E. M. Mohamed, K. Hatano, E. Takimoto, Z. M. Fadlullah, and M. M. Fouda, "Contextual Thompson Sampling for Airborne RIS in mmWave-Enabled Metaverse Networks," IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2025.
M. Hossain, I. Batool, M. M. Fouda, and Z. M. Fadlullah, "Privacy-Preserving Energy Forecasting in 5G+ Smart Grids Using PSI-Constrained LSTM Networks," 2025 IEEE Virtual Conference on Communications (VCC), 2025.
D. Esemezie, I. Batool, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "Securing Encrypted 6G Traffic: an Edge-Optimized AI Framework for Attack Detection," The 25th IEEE International Conference on Scalable Computing and Communications, 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "DRL-Based NFV Orchestration for Ultra-Low Latency Edge Applications," 2025 IEEE Virtual Conference on Communications (VCC), 2025.
J. Ahmar, I. Batool, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "Privacy-Utility Trade-Offs in Federated Learning for 6G Networks: a Systematic Evaluation of Software-Based Privacy Mechanisms," The 25th IEEE International Conference on Scalable Computing and Communications, 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, and Z. M. Fadlullah, "Federated Learning-Based Intelligent Resource Management for 6G Heterogeneous Networks," IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2025.
H. AbdelRaouf, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "An Efficient and Zero-Trust Approach for Privacy-Preserving Healthcare Diagnostics," SoutheastCon 2025, 2025.
M. J. Akhtar, R. Jain, I. Batool, M. M. Fouda, M. I. Ibrahem, S. Hashima, and Z. M. Fadlullah, "Combating Neural Network Adversaries in Autonomous Vehicles: A 6G-Ready Defense Framework," IEEE International Conference on Wireless Networks and Mobile Communications (WINCOM), Riyadh, Saudi Arabia, 2025.
I. Batool, M. M. Fouda, M. I. Ibrahem, M. Ismail, S. Hashima, and Z. M. Fadlullah, "PFANS: an Intelligent 6G Framework for Dynamic Autonomous Vehicle Learning," 2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM), Riyadh, Saudi Arabia, 2025.
E. Gad, G. Gad, M. M. Fouda, M. I. Ibrahem, M. Ismail, and Z. M. Fadlullah, "REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks," IEEE International Conference on Communications (ICC), Jun. 2025.
H. AbdelRaouf, M. Abouyoussef, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Towards decentralized, secure, and efficient adaptive learning for robust healthcare monitoring," ICC 2025 – IEEE International Conference on Communications, Montreal, Canada, Jun. 2025.
Y. Mohamed, Z. M. Fadlullah, and M. M. Fouda, "Improving Early Alzheimer's Detection with ML and Feature Engineering on Blood Plasma Proteomics," IEEE 4th Int'l Conference on Computing and Machine Intelligence (ICMI 2025), Michigan, United States of America, Apr. 2025.
H. AbdelRaouf, M. Abouyoussef, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Emerging Trends in AI-Powered IoT: Innovations, Key Challenges, and Future Directions," SoutheastCon 2025, Mar. 2025.
E. Hasan, E. Mahalal, M. Ismail, Z.-Y. Wu, M. M. Fouda, and Z. M. Fadlullah, "Communication-aided Terahertz Sensing: A Novel Indoor People Counting System Via Deep Learning," IEEE Virtual Conference on Communications (VCC), 2024.
E. Gad, Z. M. Fadlullah, and M. M. Fouda, "A robust federated learning approach for combating attacks against IoT systems under non-IID challenges," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
A. F. Ashour, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Enhancing diabetes prediction based on pair-wise ensemble learning model selection," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
B. R. Tanuboddi, G. Gad, Z. M. Fadlullah, and M. M. Fouda, "Optimizing VNF Migration in B5G Core Networks: A Machine Learning Approach," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
E. Mahalal, M. Ismail, Z.-Y. Wu, M. M. Fouda, Z. M. Fadlullah, and N. Kato, "Robust Deep Learning-Based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift," IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024.
H. AbdelRaouf, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Protecting privacy in IoMT-based disease diagnosis using an efficient approach," IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024.
H. Vaitla, G. Gad, Z. M. Fadlullah, and M. M. Fouda, "Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
E. Mahalal, M. Ismail, Z.-Y. Wu, M. M. Fouda, and Z. M. Fadlullah, "GAN-Assisted Secret Key Generation Against Eavesdropping In Dynamic Indoor LiFi Networks," IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024.
A. Rasheed, Z. M. Fadlullah, and M. M. Fouda, "Optimizing Feature Panels for Effective Model Training Toward Early Diagnosis of Alzheimer's Disease," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
A. F. Ashour, M. M. Fouda, Z. M. Fadlullah, and M. I. Ibrahem, "Optimized neural networks for diabetes classification using pima Indians diabetes database," IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024.
A. Rasheed, Z. M. Fadlullah, and M. M. Fouda, "Alzheimer's Disease Stage Classification using Blood Data," 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), 2024.
I. Batool, M. M. Fouda, and Z. M. Fadlullah, "Deep learning-based throughput prediction in 5G cellular networks," International Conference on Smart Applications, Communications and Networking (SmartNets), 2024.
M. I. Ibrahem, H. AbdelRaouf, A. Alsharif, M. M. Fouda, Z. M. Fadlullah, and A. Aleroud, "Privacy-preserving, lightweight, and decentralized load forecasting in smart grid AMI networks," IEEE International Conference on Communications (ICC), Denver, Colorado, United States of America, 2024.
A. Dev, M. M. Fouda, and Z. M. Fadlullah, "Data-driven model for improving meg epileptic spike detection," IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024.
G. Gad, Z. M. Fadlullah, M. M. Fouda, M. I. Ibrahem, and N. Kato, "Federated learning with selective knowledge distillation over bandwidth-constrained wireless networks," IEEE International Conference on Communications (ICC), Denver, Colorado, United States of America, Jun. 2024.
A. Dev, M. M. Fouda, L. Kerby, and Z. M. Fadlullah, "On Improving Malaria Parasite Detection from Microscopic Images: A Comparative Analytics of Hybrid Deep Learning Models," Proc. of the 2023 International Conference on Information and Communication Technology (ICoICT 2023), 2023.
M. Emu, M. Y. Hassan, Z. M. Fadlullah, and S. Choudhury, "Algorithm Package of AI-Driven SDN Controller-Switch Load Balancing Strategies," IEEE Symposium Series on Computational Intelligence (SSCI), 2023.
A. Aboulfotouh, Z. M. Fadlullah, M. M. Fouda, M. Ismail, and D. Niyato, "Benchmarking the User-Centric Clustering and Pilot Assignment Problems in Cell-Free Networks," IEEE Global Communications Conference (IEEE GLOBECOM 2023), 2023.
G. Gad, Z. M. Fadlullah, K. M. Rabie, and M. M. Fouda, "Communication-efficient Privacy-Preserving Federated Learning via Knowledge Distillation for Human Activity Recognition systems," 2023 IEEE International Conference on Communications (ICC): Communication and Information System Security Symposium, 2023.
S. Hashima, M. M. Fouda, K. Hatano, E. Takimoto, and Z. M. Fadlullah, "Multi-armed Bandit-Aided Near-Optimal Over-The-Air Updates in Multi-Band V2X Systems," Proc. of the 2023 5th International Conference on Computer Communication and the Internet (ICCCI 2023), Fujisawa, Japan, Jun. 23–25, 2023.
S. Hashima, E. M. Mohamed, K. Hatano, E. Takimoto, M. M. Fouda, and Z. M. Fadlullah, "On Enhancing WiGig Communications With A UAV-Mounted RIS System: A Contextual Multi-Armed Bandit Approach," Proc. of the 2023 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2023), Toronto, ON, Canada, Sept. 5–8, 2023.
K. Bedda, M. M. Fouda, and Z. M. Fadlullah, "PC-SSL: Peer-Coordinated Sequential Split Learning for Intelligent Traffic Analysis in mmWave 5G Networks," Proc. of the 2023 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2023), Toronto, ON, Canada, Sept. 5–8, 2023.
M. Elshafei, Z. M. Fadlullah, and M. M. Fouda, "Optimizing MEG-EEG Mapping in Resource-Constrained Non-Intrusive Bio-Magnetic Sensing Systems: A Data-Driven Approach," Proc. of the 2023 International Conference on Information and Communication Technology (ICoICT 2023), Melaka, Malaysia, Aug. 23–24, 2023.
A. Asad, M. M. Fouda, Z. M. Fadlullah, M. I. Ibrahem, and N. Nasser, "Moreau Envelopes-based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence," Proc. of the 2023 IEEE Global Communications Conference (IEEE GLOBECOM 2023), Kuala Lumpur, Malaysia, Dec. 4–8, 2023.
G. Gad, Z. M. Fadlullah, M. M. Fouda, M. I. Ibrahem, and N. Nasser, "Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems," Proc. of the 2023 IEEE Global Communications Conference (IEEE GLOBECOM 2023), 2023.
A. Farrag, G. Gad, Z. M. Fadlullah, and M. M. Fouda, "Mammogram tumor segmentation with preserved local resolution: An explainable AI system," IEEE Global Communications (GLOBECOM) Conference, Kuala Lumpur, Malaysia, 2023.
S. Hashima, Z. M. Fadlullah, M. M. Fouda, K. Hatano, E. Takimoto, and M. Guizani, "A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update," Proc. of the 2023 IEEE Global Communications Conference (IEEE GLOBECOM 2023), 2023.
G. Gad, A. Farrag, Z. M. Fadlullah, and M. M. Fouda, "Communication-Efficient Federated Learning in Drone-Assisted IoT Networks: Path Planning and Enhanced Knowledge Distillation Techniques," Proc. of the 2023 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2023), Toronto, ON, Canada, Sept. 5–8, 2023.
M. I. Ibrahem, M. M. Fouda, and Z. M. Fadlullah, "FedSafe-No KDC Needed: Decentralized Federated Learning With Enhanced Security and Efficiency," Proc. of the 2024 IEEE 21st Consumer Communications & Networking Conference (IEEE CCNC 2024), 2023.
A. Dev, M. M. Fouda, and Z. M. Fadlullah, "Automated EEG Epileptic Seizure Detection Exploiting Continuous Morlet Wavelet Transform Scalograms and Hybrid Deep Learning Models," Proc. of the 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS 2023), 2023.
Y. Gupta, Z. M. Fadlullah, and M. M. Fouda, "Toward Asynchronously Weight Updating Federated Learning for AI-on-Edge IoT Systems," IEEE IoTaIS, 2022.
R. R. Kontham, A. K. Kondoju, M. M. Fouda, and Z. M. Fadlullah, "An End-To-End Explainable AI System for Analyzing Breast Cancer Prediction Models," IEEE IoTaIS, 2022.
K. Bedda, Z. M. Fadlullah, and M. M. Fouda, "Efficient Wireless Network Slicing in 5G Networks: An Asynchronous Federated Learning Approach," IEEE IoTaIS, Indonesia, 2022.
M. Y. Hassan, M. Emu, Z. M. Fadlullah, and S. Choudhury, "Optimal Models for Distributing Vaccines in a Pandemic," International Conference on Operations Research and Enterprise Systems (ICORES), 2022.
A. Farrag, Z. M. Fadlullah, and M. M. Fouda, "A Two-Step Machine Learning Model for Stage Specific Disease Survivability Prediction," IEEE IoTaIS, 2022.
A. Aboulfotouh, T. E. A. De Oliveira, and Z. M. Fadlullah, "Channel Estimation in Cellular Massive MIMO: A Data-Driven Approach," IEEE IoTaIS, 2022.
H. T. Haridas, M. M. Fouda, Z. M. Fadlullah, M. Mahmoud, B. M. ElHalawany, and M. Guizani, "MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health," 2022 IEEE International Conference on Communications, May 2022.
K. Thapar, R. Singh, Z. M. Fadlullah, M. M. Fouda, N. Nasser, and A. Ali, "A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks," 2022 IEEE International Conference on Communications, May 2022.
V. S. Nagulapati, S. R. Rapelli, Z. M. Fadlullah, M. M. Fouda, W. Alasmary, and M. Guizani, "On Improving Automated Detection of Cyber-Bully in Social Networks with Constrained Datasets: A Hierarchical Deep Learning Approach," 2022 IEEE International Conference on Communications, May 2022.
M. M. Badr, M. I. Ibrahem, M. M. E. A. Mahmoud, W. Alasmary, M. M. Fouda, K. Almorairi, and Z. M. Fadlullah, "Privacy-Preserving Federated-Learning-Based Net Energy Forecasting," SoutheastCon 2022, Apr. 2022.
S. Hashima, M. M. Fouda, Z. M. Fadlullah, E. M. Mohamed, and K. Hatano, "Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication," 2021 IEEE Global Communications Conference, Spain, Dec. 2021.
S. Sakib, M. M. Fouda, and Z. M. Fadlullah, "A Rigorous Analysis of Biomedical Edge Computing: An Arrhythmia Classification Use-Case Leveraging Deep," 2020 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS'20), Bali, Indonesia, 2021.
S. Sakib, M. M. Fouda, M. Al-Mahdawi, A. Mohsen, M. Oogane, Y. Ando, and Z. M. Fadlullah, "Noise-Removal from Spectrally-Similar Signals Using Reservoir Computing for MCG Monitoring," 2021 IEEE International Conference on Communications (ICC'21), Canada, 2021.
K. Barge, N. Patel, M. M. Fouda, and Z. M. Fadlullah, "A Systematic Comparison of Traditional and Hybrid AI Models for NHANES Big Data Analytics," International Conference on Internet of Things and Intelligence Systems (IoTaIS'21), Nov. 2021.
T. Tazrin, Z. Ayaz, M. M. Fouda, and Z. M. Fadlullah, "On Energy-Efficient UAV Route Scheduling to Offload Health Data from Under-Served Rural Communities," International Conference on Internet of Things and Intelligence Systems (IoTaIS'21), Nov. 2021.
B. Shakya, M. M. Fouda, S. C. Chiu, and Z. M. Fadlullah, "A Circuit-Embedded Reservoir Computer for Smart Noise Reduction of MCG Signals," International Conference on Internet of Things and Intelligence Systems (IoTaIS'21), Nov. 2021.
V. Pitroda, M. M. Fouda, and Z. M. Fadlullah, "An Explainable AI Model for Interpretable Lung Disease Classification," International Conference on Internet of Things and Intelligence Systems, Nov. 2021.
S. Sakib, M. M. Fouda, Z. M. Fadlullah, K. Abualsaud, E. Yaacoub, and M. Guizani, "Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection," 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom'21), Sep. 2021.
M. Y. Hassan, S. Choudhury, and Z. M. Fadlullah, "On Optimal Scheduling of OTA Software Updates for Smart Vehicles Leveraging Fog Computing," 2021 International Wireless Communications and Mobile Computing (IWCMC) - General Symposium, Jun. 2021.
S. Sakib, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "On COVID-19 Prediction Using Asynchronous Federated Learning-Based Agile Radiograph Screening Booths," 2021 IEEE International Conference on Communications (ICC'21), Jun. 2021.
M. I. Ibrahem, M. Badr, M. M. Fouda, M. E. A. M. Mahmoud, W. Alasmary, and Z. M. Fadlullah, "PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks," 2020 International Symposium on Networks, Computers and Communications (ISNCC): Trust, Security and Privacy, Montreal, Canada, Oct. 2020.
S. Sakib, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case," International conference on Wireless Communications & Mobile Computing (IWCMC'20) e-Health Symposium, Cyprus, Jun. 2020.
A. Mohsen, M.-A. Mahdawi, M. M. Fouda, M. Oogane, Y. Ando, and Z. M. Fadlullah, "AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application," IEEE International Conference on Communications (ICC'20), Dublin, Ireland, Jun. 2020.
B. Mao, F. Tang, Z. M. Fadlullah, and N. Kato, "An Intelligent Packet Forwarding Approach for Disaster Recovery Networks," IEEE International Conference on Communications (ICC 2019), Shanghai, China, May 2019.
F. Tang, B. Mao, Z. M. Fadlullah, and N. Kato, "Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach," IEEE Global Communications Conference (GLOBECOM 2018), Abu Dhabi, United Arab Emirates, Dec. 2018.
F. Tang, B. Mao, Z. M. Fadlullah, and J. Liu, "On Extracting the Spatial-Temporal Features of Network Traffic Patterns: A Tensor Based Deep Learning Model," IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2018), Eilat, State of Israel, Dec. 2018.
B. Mao, Z. M. Fadlullah, F. Tang, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "A Tensor Based Deep Learning Technique for Intelligent Packet Routing," IEEE Global Communications Conference (GLOBECOM 2017), Singapore, Dec. 2017.
S. Jia, Z. M. Fadlullah, N. Kato, and L. Zhang, "Eco-Udc: An Energy Efficient Data Collection Method For Disaster Area Networks," 2016 5th IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC 2016), Beijing, China, Sept. 2016.
J. Yang, X. Zhang, Y. Qiao, Z. M. Fadlullah, and N. Kato, "Global and Individual Mobility Pattern Discovery Based on Hotspots," IEEE International Conference on Communications (ICC 2015), London, UK, June 2015.
S. Jia, Z. Liu, K. Zhu, L. Zhang, Z. M. Fadlullah, and N. Kato, "Bus-Ads: Bus-based Priced Advertising in VANETs using Coalition Formation Game," IEEE International Conference on Communications (ICC 2015), London, UK, June 2015.
J. Yang, W. Li, Y. Qiao, Z. M. Fadlullah, and N. Kato, "Characterizing and Modeling of Large-Scale Traffic in Mobile Network," IEEE Wireless Communications and Networking Conference (WCNC 2015), New Orleans, USA, May 2015.
W. Zhao, Z. M. Fadlullah, H. Nishiyama, N. Kato, and K. Hamaguchi, "On Joint Optimal Placement of Access Points and Partially Overlapping Channel Assignment for Wireless Networks," IEEE Global Communications Conference (GLOBECOM 2014), Austin, Texas, USA, Dec. 2014.
W. Chao, Z. M. Fadlullah, N. Kato, and I. Stojmenovic, "A Novel Distributed Algorithm for Power Loss Minimizing in Smart Grid," 2014 IEEE International Conference on Smart Grid Communications, Venice, Italy, Nov. 2014.
W. Zhao, Z. M. Fadlullah, H. Nishiyama, N. Kato, and K. Hamaguchi, "Joint Design of Density of Access Points and Partially Overlapped Channel Assignment for Capacity Optimization in Wireless Networks," 2014 International Conference on Wireless Communications and Signal Processing (WCSP 2014), Hefei, China, Oct. 2014.
A. E. A. A. Abdulla, Z. M. Fadlullah, H. Nishiyama, N. Kato, F. Ono, and R. Miura, "An Optimal Data Collection Technique for Improved Utility in UAS-aided Networks," The 33rd Annual IEEE International Conference on Computer Communications (INFOCOM), Toronto, Canada, May 2014.
W. Zhao, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "Characterizing the Impact of Non-Uniform Deployment of APs on Network Performance under Partially Overlapped Channels," The 8th International Conference on Wireless Algorithms, Systems, and Applications (WASA), Zhangjiajie, China, Aug. 2013.
A. E. A. A. Abdulla, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "On the Optimal Transmission Distance for Power-aware Routing in Ad hoc Networks," International Conference on Computing, Networking and Communications, Wireless Ad Hoc and Sensor Networks Symposium (ICNC 2013 - WAHS), June 2013.
Z. M. Fadlullah, M. Q. Duong, N. Kato, and I. Stojmenovic, "A Novel Game-based Demand Side Management Scheme for Smart Grid," IEEE Wireless Communications and Networking Conference (WCNC 2013), Apr. 2013.
M. M. Fouda, Z. M. Fadlullah, N. Kato, A. Takeuchi, and Y. Nozaki, "A Novel Demand Control Policy for Improving Quality of Power Usage in Smart Grid," IEEE Global Communications Conference (Globecom 2012), Dec. 2012.
Z. M. Fadlullah, A. V. Vasilakos, and N. Kato, "A Game Theoretic Approach to Integrate Security with Quality of Service," IEEE International Conference on Communications (ICC 2012), June 2012.
Z. M. Fadlullah, Y. Nozaki, A. Takeuchi, and N. Kato, "A Survey of Game Theoretic Approaches in Smart Grid," International Conference on Wireless Communications and Signal Processing (WCSP 2011), Nov. 2011.
M. M. Fouda, Z. M. Fadlullah, N. Kato, R. Lu, and X. Shen, "Towards a Light-weight Message Authentication Mechanism Tailored for Smart Grid Communications," 30th IEEE International Conference on Computer Communications (INFOCOM 2011), Security in Computers, Networking and Communications (SCNC) Workshop, Shanghai, China, pp. 1018-1023, Apr. 2011.
P. B. F. Duarte, Z. M. Fadlullah, A. V. Vasilakos, and N. Kato, "Channel Assignment on Wireless Mesh Network Backbone with Potential Game Approach," 2nd International ICST Conference on Game Theory for Networks (GameNets 2011), Shanghai, China, pp. 43-56, Apr. 2011.
P. B. F. Duarte, Z. M. Fadlullah, K. Hashimoto, and N. Kato, "Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone," IEEE global telecommunications conference 2010 (Globecom), Miami, Florida, USA, 5 pages, Dec. 2010.
M. M. Fouda, Z. M. Fadlullah, and N. Kato, "Assessing Attack Threat Against ZigBee-based Home Area Network for Smart Grid Communications," 6th IEEE International Conference on Computer Engineering and Systems (ICCES'10), Cairo, Egypt, pp. 245-250, Nov. 2010.
T. Taleb, Z. M. Fadlullah, D. Bottazzi, and N. Nasser, "A Context-aware and Middleware-Level Solution towards a Ubiquitous Healthcare System," in Proc. IEEE WiMOB, Marrakech, Morocco, Oct. 2009.
T. Taleb, Z. M. Fadlullah, M. Schoeller, and K. Ben Letaief, "A Connection Stability Aware Mobility Management Scheme," in Proc. IEEE WiMOB, Marrakech, Morocco, Oct. 2009.
Z. M. Fadlullah, T. Taleb, N. Nasser, and N. Kato, "Exploring the Security Requirements for Quality of Service in Combined Wired and Wireless Networks," International Wireless Communications and Mobile Computing Conference (IWCMC 2009), Leipzig, Germany, June 2009.
T. Taleb, Z. M. Fadlullah, T. Takahashi, R. Wang, Y. Nemoto, and N. Kato, "Tailoring ELB for Multi-layered Satellite Networks," IEEE International Conference on Communications 2009 (ICC 2009), Dresden, Germany, June 2009.
T. Taleb, Z. M. Fadlullah, K. Hashimoto, Y. Nemoto, and N. Kato, "Tracing-back Attacks Against Encrypted Protocols," International Wireless Communications and Mobile Computing Conference 2007 (IWCMC), Hawaii, USA, Aug. 2007.
Z. M. Fadlullah, T. Taleb, N. Ansari, Y. Miyake, K. Hashimoto, Y. Nemoto, and N. Kato, "Combating Attacks Against Encrypted Protocol," IEEE International Conference on Communications (ICC), Glasgow, Scotland, June 2007.
Juan Carlos Fernandez, Zubair Md. Fadlullah, and Nei Kato, “A Secure and Robust Framework of Service Level Specification for Next Generation Wireless Networks,” Technical Report of IEICE, Vol. 108, No. 252, USN2008-52, pp. 83-88, Okinawa, Japan, Oct. 2008.
Zubair Md. Fadlullah and Nei Kato, “Research Methods and Challenges in Demand Side Management”, IEEE SmartGrid Newsletter, available online, http://smartgrid.ieee.org/february-2013/796research-methods-and-challenges-in-demand-side-management
Zubair Md. Fadlullah and Nei Kato, “Evolution of Smart Grids,” SpringerBriefs in Electrical and Computer Engineering, SpringerInternational Publishing, Dec. 2015. (ISBN 978-3-319-25391-6).
I. Batool, M. M. Fouda, and Z. M. Fadlullah, "Trustworthy Resource Allocation in AI-Driven 6G Sensing Networks," IET International Book Series on Sensors, pp. 31-67, revision requested, 2025.
I. Batool, M. M. Fouda, and Z. M. Fadlullah, "Intelligent Resource Allocation for 6G-Enabled IoT Sensing Networks in Smart Cities," IET International Book Series on Sensors, pp. 1-30, revision requested, 2025.
Z. M. Fadlullah and M. M. Fouda, "Programmable Computing in 6G," in Towards a Wireless Connected World: Achievements and New Technologies, Springer International Publishing, pp. 309-321, 2022.
Z. M. Fadlullah and M. M. Fouda, "Joint Provisioning of QoS and Privacy with Federated Learning," in Towards a Wireless Connected World: Achievements and New Technologies, Springer International Publishing, pp. 323-337, 2022.
N. K. Oburi, P. Sagar, A. Ramesh, S. Sakib, M. M. Fouda, and Z. M. Fadlullah, "Early Identification of Mental Health Disorder Employing Machine Learning-based Secure Edge Analytics: A Real-time Monitoring System," in Secure Edge Computing: Applications, Techniques, and Challenges, CRC Press, pp. 1-20, 2020.
A. Kumar, A. Sharma, S. Chaskar, S. Sakib, M. M. Fouda, and Z. M. Fadlullah, "AI-aided ECG Change Point Detection for Bio-authentication at the Edge," in Secure Edge Computing: Applications, Techniques, and Challenges, CRC Press, 2020.
S. Kothari, D. Desai, A. Parveen, T. Tazrin, M. M. Fouda, and Z. M. Fadlullah, "On Securing Electronic Healthcare Records Using Hyperledger Fabric Across the Network Edge," in Secure Edge Computing: Applications, Techniques and Challenges, CRC Press, pp. 1-22, 2020.
S. Sakib, M. M. Fouda, and Z. M. Fadlullah, "Harnessing Artificial Intelligence for Secure ECG Analytics at the Edge for Cardiac Arrhythmia Classification," in Secure Edge Computing: Applications, Techniques and Challenges, CRC Press, pp. 137-153, 2020.
Z. M. Fadlullah and M. M. Fouda, "Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches," in Combating Security Challenges in the Age of Big Data: Powered By State of the Art AI Techniques, Springer, ISBN: 978-3030356415, pp. 243-264, 2019.
Z. M. Fadlullah and M. M. Fouda, "Authentication Methodology for Securing Machine-to-Machine Communication in Smart Grid," in Combating Security Challenges in the Age of Big Data: Powered By State of the Art AI Techniques, Springer, ISBN: 978-3030356415, pp. 189-213, 2019.
M. M. Fouda, Z. M. Fadlullah, Al-Sakib Khan Pathan, and N. Kato, "Peer-to-Peer Video On-Demand in Future Internet," in Building Next-Generation Converged Networks: Theory and Practice, CRC Press, ISBN: 978-1466507616, pp. 119-134, Jan. 2013.
Z. M. Fadlullah, T. Taleb, and M. Sholler, "Combating Against Security Attacks against Mobile Ad hoc Networks (MANETS)," in Security of Self-Organizing Networks: MANET, WSN, WMN, VANET, Auerback Publications, CRC Press, Taylor and Francis Group, USA, Nov. 2009.
Zubair Md Fadlullah, Osamu Akashi, Takeru Inoue, Nei Kato, and Kimihiro Mizutani, “Route control method and route setting device”, WO Patent 2018027672. February 07, 2019.
Nei Kato, Zubair Md Fadlullah, Osamu Akashi, Takeru Inoue, and Kimihiro Mizutani, “AI routing mechanism according to the learning, the server device and the path control program,” Japanese Patent number 6600917, October 18, 2019.
Gad Gad and Zubair Md Fadlullah, “Applying Computer Vision and Deep Learning to Semen Morphology and Motility Analysis,” Vector Institute Computer Vision Symposium, Oct. 2021.
Zubair Fadlullah, Mostafa M. Fouda, Al-Sakib Khan Pathan, Nidal Nasser, Abderrahim Benslimane, and Ying-Dar Lin, “Smart IoT Solutions for Combating COVID-19 Pandemic,” IEEE Internet of Things Magazine, vol. 3, no. 3, pp. 10–11, Sep. 2020. (URL).
Al-Sakib Khan Pathan, Zubair Muhammad Fadlullah, Mostafa Fouda, Muhammad Mostafa Monowar, and Philip Korn, “Information Integrity in Smart Grid Systems,” Journal of Information Systems, Elsevier, vol. 53, pp. 145–146, Oct.–Nov. 2015. (URL).
Al-Sakib Khan Pathan, Zubair Md Fadlullah, Mostafa Fouda, and Hae Young Lee, “Defending against Wireless Network Intrusion”, Journal of Computer and System Sciences, Elsevier, vol. 80, no. 3, pp. 499–501, May 2014. (URL)