List of Publications

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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.

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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.

48. 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.

49. 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.

50. 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.

51. 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.

52. 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.

53. 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.

54. 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.

55. 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.

56. 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.

57. Y. Gupta, Z. M. Fadlullah, and M. M. Fouda, "Toward Asynchronously Weight Updating Federated Learning for AI-on-Edge IoT Systems," IEEE IoTaIS, 2022.

58. 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.

59. 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.

60. 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.

61. A. Farrag, Z. M. Fadlullah, and M. M. Fouda, "A Two-Step Machine Learning Model for Stage Specific Disease Survivability Prediction," IEEE IoTaIS, 2022.

62. A. Aboulfotouh, T. E. A. De Oliveira, and Z. M. Fadlullah, "Channel Estimation in Cellular Massive MIMO: A Data-Driven Approach," IEEE IoTaIS, 2022.

63. 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.

64. 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.

65. 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.

66. 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.

67. 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.

68. 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.

69. 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.

70. 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.

71. 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.

72. 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.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

78. 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.

79. 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.

80. 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.

81. 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.

82. 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.

83. 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.

84. 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.

85. 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.

86. 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.

87. 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.

88. 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.

89. 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.

90. 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.

91. 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.

92. 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.

93. 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.

94. 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.

95. 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.

96. 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.

97. 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.

98. 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.

99. 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.

100. 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.

101. 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.

102. 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.

103. 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.

104. 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.

105. 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.

106. 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.

107. 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.