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2020 – today
- 2024
- [j105]Zain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mounir Hamdi, Mohsen Guizani:
RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments. IEEE Access 12: 125609-125628 (2024) - [j104]Zebo Yang, Haneen Alfauri, Behrooz Farkiani, Raj Jain, Roberto Di Pietro, Aiman Erbad:
A Survey and Comparison of Post-Quantum and Quantum Blockchains. IEEE Commun. Surv. Tutorials 26(2): 967-1002 (2024) - [j103]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems. Future Gener. Comput. Syst. 155: 1-17 (2024) - [j102]Hela Chamkhia, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Abdulla Khalid Al-Ali, Mohsen Guizani:
Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT System. IEEE Internet Things J. 11(2): 2027-2042 (2024) - [j101]Ali Ghubaish, Zebo Yang, Aiman Erbad, Raj Jain:
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems. IEEE Internet Things J. 11(8): 13247-13256 (2024) - [j100]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework. IEEE Internet Things J. 11(12): 22697-22715 (2024) - [j99]Alaa Awad Abdellatif, Noor Khial, Helmy M. El Zoghby, Amr Mohamed, Aiman Erbad, Khaled B. Shaban:
ODL: Opportunistic Distributed Learning for Intelligent IoT Systems. IEEE Internet Things Mag. 7(4): 92-99 (2024) - [j98]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad:
Optimized blockchain-based healthcare framework empowered by mixed multi-agent reinforcement learning. J. Netw. Comput. Appl. 224: 103834 (2024) - [j97]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems. J. Netw. Comput. Appl. 230: 103933 (2024) - [j96]Zain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mounir Hamdi:
Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers. IEEE Open J. Commun. Soc. 5: 15-37 (2024) - [j95]Marwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha, Abegaz Mohammed Seid:
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas. IEEE Open J. Commun. Soc. 5: 2145-2163 (2024) - [j94]Amr E. Aboeleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohammad:
ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework. IEEE Open J. Commun. Soc. 5: 2567-2584 (2024) - [j93]Md Jakir Hossain, Abegaz Mohammed Seid, Hayla Nahom Abishu, Fayaz Ali Dharejo, Rutvij H. Jhaveri, Aiman Erbad, Moath Alathbah:
ASMCC+: A Secure Authentication Scheme for Mobile Cloud Computing Environment Based on Zero Trust Architecture. IEEE Trans. Consumer Electron. 70(3): 6236-6249 (2024) - [j92]Jianfeng Lu, Yuhang Sheng, Shuqin Cao, Said Elnaffar, Malik Muhammad Saad, Abegaz Mohammed Seid, Aiman Erbad:
Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices. IEEE Trans. Consumer Electron. 70(4): 7334-7345 (2024) - [j91]Abdullatif Albaseer, Abegaz Mohammed Seid, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning. IEEE Trans. Green Commun. Netw. 8(2): 865-877 (2024) - [j90]Usman Ahmad, Mu Han, Alireza Jolfaei, Sohail Jabbar, Muhammad Ibrar, Aiman Erbad, Houbing Herbert Song, Yazeed Alkhrijah:
A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25(11): 15314-15341 (2024) - [j89]Mesfin Leranso Betalo, Supeng Leng, Hayla Nahom Abishu, Abegaz Mohammed Seid, Maged Fakirah, Aiman Erbad, Mohsen Guizani:
Multi-Agent DRL-Based Energy Harvesting for Freshness of Data in UAV-Assisted Wireless Sensor Networks. IEEE Trans. Netw. Serv. Manag. 21(6): 6527-6541 (2024) - [j88]Mesfin Leranso Betalo, Supeng Leng, Hayla Nahom Abishu, Fayaz Ali Dharejo, Abegaz Mohammed Seid, Aiman Erbad, Rizwan Ali Naqvi, Longyu Zhou, Mohsen Guizani:
Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks. IEEE Trans. Veh. Technol. 73(7): 9247-9261 (2024) - [j87]Muhammet Hevesli, Abegaz Mohammed Seid, Aiman Erbad, Mohamed M. Abdallah:
Task Offloading Optimization in Digital Twin Assisted MEC-Enabled Air-Ground IIoT 6G Networks. IEEE Trans. Veh. Technol. 73(11): 17527-17542 (2024) - [c112]Amr Abo-eleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation. CCNC 2024: 71-76 - [c111]Noor Khial, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini:
Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems. CCNC 2024: 604-605 - [c110]Marwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha, Mohsen Guizani:
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems Using DRL and PSO. ICC 2024: 654-659 - [c109]Hassan Saadat, Abdullatif Albaseer, Mohamed Abdallah, Amr Mohamed, Aiman Erbad:
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. ICC 2024: 5467-5472 - [c108]Ali Riahi, Aiman Erbad, Abdelaziz Bouras, Amr Mohamed:
RL-Based Incentive Cooperative Data Learning Framework Over Blockchain in Healthcare Applications (RL-ICDL-BC). IWCMC 2024: 90-96 - [c107]Zain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mounir Hamdi:
Reinforcement Learning-based anti-Jamming Solution for Aerial RIS-aided Dense Dynamic Multi-User Environments. IWCMC 2024: 543-548 - [c106]Muhammad Ibrar, Hayla Nahom Abishu, Abegaz Mohammed Seid, Sergio Márquez Sánchez, Javier Hernandez Fernandez, Juan Manuel Corchado, Aiman Erbad:
Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems. IWCMC 2024: 1203-1209 - [c105]Hayla Nahom Abishu, Abegaz Mohammed Seid, Sergio Márquez Sánchez, Javier Hernandez Fernandez, Juan Manuel Corchado, Aiman Erbad:
Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes. IWCMC 2024: 1210-1217 - [c104]Muhammad Ibrar, Aamir Akbar, Nadir Shah, Aiman Erbad, Kamran Ali:
LRS2: Improved Link Recovery in Software-Defined Networks with Stacked Generalization Ensemble. IWCMC 2024: 1339-1344 - [c103]Afshan Ahmed, Muhammad Ibrar, Muhammad Munwar Iqbal, Aiman Erbad, Sohail Jabbar:
Real-time Emergency Message Dissemination in IoV: A Cluster-based Approach with SDN and Fog Computing. IWCMC 2024: 1716-1722 - [c102]Muhammet Hevesli, Abegaz Mohammed Seid, Aiman Erbad, Mohamed M. Abdallah:
Energy Efficient Delay-Aware Design for MEC-enabled DT-Assisted Air-Ground Network. PIMRC 2024: 1-6 - [c101]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Game-Theoretic Federated Meta-learning for Blockchain-Assisted Metaverse. WCNC 2024: 1-6 - [c100]Eiman A. Al-Hamad, Sameha Alshakhsi, Areej Babiker, Aiman Erbad, Raian Ali:
The Impact of Personality Traits and Need for Cognition on Cybersecurity Behavior: A Study Across Arab and European Samples. WISE (3) 2024: 389-401 - [c99]Eiman A. Al-Hamad, Aiman Erbad, Raian Ali:
Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism. WISE (3) 2024: 402-415 - [i52]Marwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha:
Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms. CoRR abs/2401.11118 (2024) - [i51]Hassan Saadat, Abdullatif Albaseer, Mohamed M. Abdallah, Amr Mohamed, Aiman Erbad:
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. CoRR abs/2401.15924 (2024) - [i50]Ali Ghubaish, Zebo Yang, Aiman Erbad, Raj Jain:
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems. CoRR abs/2404.16870 (2024) - [i49]Marwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha, Mohsen Guizani:
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO. CoRR abs/2406.16934 (2024) - [i48]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework. CoRR abs/2408.03694 (2024) - [i47]Zebo Yang, Haneen Alfauri, Behrooz Farkiani, Raj Jain, Roberto Di Pietro, Aiman Erbad:
A Survey and Comparison of Post-quantum and Quantum Blockchains. CoRR abs/2409.01358 (2024) - [i46]Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad:
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services. CoRR abs/2411.02412 (2024) - [i45]Amr Abo-eleneen, Menna Helmy, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mohamed M. Abdallah:
Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services. CoRR abs/2411.03686 (2024) - 2023
- [j86]Syed Muhammad Ammar Hassan Bukhari, Emna Baccour, Kashif Bilal, Junaid Shuja, Aiman Erbad, Muhammad Bilal:
To transcode or not? A machine learning based edge video caching and transcoding strategy. Comput. Electr. Eng. 109(Part A): 108741 (2023) - [j85]Syed Muhammad Ammar Hassan Bukhari, Kashif Bilal, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Video transcoding at the edge: cost and feasibility perspective. Clust. Comput. 26(1): 157-180 (2023) - [j84]Emna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Mounir Hamdi:
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks. IEEE Commun. Mag. 61(2): 110-116 (2023) - [j83]Zina Chkirbene, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz, Nasser Al-Emadi:
D2DLive: Iterative live video streaming algorithm for D2D networks. Comput. Networks 229: 109734 (2023) - [j82]Abdulrahman Soliman, Abdulla K. Al-Ali, Amr Mohamed, Hend Gedawy, Daniel Izham, Mohamad Bahri, Aiman Erbad, Mohsen Guizani:
AI-based UAV navigation framework with digital twin technology for mobile target visitation. Eng. Appl. Artif. Intell. 123(Part B): 106318 (2023) - [j81]Samra Zafar, Bakhtawar Zafar, Xiaopeng Hu, Nizam Hussain Zaydi, Muhammad Ibrar, Aiman Erbad:
PBCLR: Prediction-based control-plane load reduction in a software-defined IoT network. Internet Things 24: 100934 (2023) - [j80]Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh Al-Obaidi, Mounir Hamdi:
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms. IEEE Internet Things J. 10(9, May 1): 8185-8201 (2023) - [j79]Afshan Ahmed, Sohail Jabbar, Muhammad Munwar Iqbal, Muhammad Ibrar, Aiman Erbad, Houbing Song:
An Efficient Hierarchical Mobile IPv6 Group-Based BU Scheme for Mobile Nodes in IoT Network. IEEE Internet Things J. 10(10): 8684-8695 (2023) - [j78]Rami Hamdi, Ahmed Ben Said, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer. IEEE Internet Things J. 10(19): 16945-16958 (2023) - [j77]Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed Abdallah, Mohsen Guizani:
Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks. IEEE Internet Things J. 10(22): 19695-19711 (2023) - [j76]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues. IEEE Internet Things J. 10(24): 21982-22007 (2023) - [j75]Hend Gedawy, Khaled A. Harras, Aiman Erbad:
Toward Delay-Conscious Federated Learning: A Systems Perspective. IEEE Internet Things Mag. 6(4): 82-87 (2023) - [j74]Isra Mohamed Ali, Noureddine Lasla, Mohamed M. Abdallah, Aiman Erbad:
SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts. J. Netw. Comput. Appl. 216: 103658 (2023) - [j73]Ilyes Mrad, Ridha Hamila, Aiman Erbad, Moncef Gabbouj:
Joint learning and optimization for Federated Learning in NOMA-based networks. Pervasive Mob. Comput. 89: 101739 (2023) - [j72]Muhammad Asif Khan, Ridha Hamila, Aiman Erbad, Moncef Gabbouj:
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance. IEEE Syst. J. 17(1): 1512-1523 (2023) - [j71]Muhammad Asif Khan, Emna Baccour, Aiman Erbad, Ridha Hamila, Mounir Hamdi:
CODE: Computation Offloading in D2D-Edge System for Video Streaming. IEEE Syst. J. 17(3): 4014-4025 (2023) - [j70]Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed M. Abdallah, Mohsen Guizani:
Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Cogn. Commun. Netw. 9(4): 991-1011 (2023) - [j69]Maregu Assefa, Wei Jiang, Kumie Alemu Gedamu, Getinet Yilma, Deepak Adhikari, Melese Ayalew, Abegaz Mohammed Seid, Aiman Erbad:
Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6679-6692 (2023) - [j68]Laila Junaid, Kashif Bilal, Osman Khalid, Aiman Erbad:
Blockchain-Enabled land management systems. Telecommun. Syst. 84(3): 421-442 (2023) - [j67]Afshan Ahmed, Muhammad Munwar Iqbal, Sohail Jabbar, Muhammad Ibrar, Aiman Erbad, Houbing Song:
Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review. IEEE Trans. Intell. Transp. Syst. 24(12): 13548-13572 (2023) - [j66]Mohammed Seid Abegaz, Hayla Nahom Abishu, Yasin Habtamu Yacob, Tewodros Alemu Ayall, Aiman Erbad, Mohsen Guizani:
Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach. IEEE Trans. Netw. Serv. Manag. 20(1): 166-181 (2023) - [j65]Alaa Awad Abdellatif, Amr Abo-eleneen, Amr Mohamed, Aiman Erbad, Nikhil V. Navkar, Mohsen Guizani:
Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks. IEEE Trans. Netw. Serv. Manag. 20(2): 1024-1039 (2023) - [j64]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Abegaz Mohammed Seid, Aiman Erbad, Octavia A. Dobre:
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. IEEE Trans. Netw. Serv. Manag. 20(2): 1502-1516 (2023) - [j63]Ali Riahi, Amr Mohamed, Aiman Erbad:
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC). IEEE Trans. Netw. Serv. Manag. 20(2): 1587-1599 (2023) - [j62]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5848-5860 (2023) - [c98]Amal Awadalla Ali, Areej Babiker, Aiman Erbad, Raian Ali:
Intentions Matter: The Role of Purpose in Excessive Social Media Usage and Smartphone Addiction. BESC 2023: 1-7 - [c97]Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Carla-Fabiana Chiasserini:
Hierarchical DRL-empowered Network Slicing in Space-Air-Ground Networks. GLOBECOM 2023: 4680-4685 - [c96]Marwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha:
Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms. GLOBECOM 2023: 6159-6164 - [c95]Alaa Awad Abdellatif, Mhd Saria Allahham, Noor Khial, Amr Mohamed, Aiman Erbad, Khaled B. Shaban:
Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems. ICC 2023: 1622-1627 - [c94]Abegaz Mohammed Seid, Aiman Erbad:
Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks. ICC 2023: 1664-1669 - [c93]Abdulrahman Soliman, Amr Mohamed, Elias Yaacoub, Nikhil V. Navkar, Aiman Erbad:
Intelligent DRL-Based Adaptive Region of Interest for Delay-Sensitive Telemedicine Applications. ICC 2023: 2419-2424 - [c92]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Dynamic Pruning for Distributed Inference via Explainable AI: A Healthcare Use Case. ICC 2023: 3394-3400 - [c91]Ilyes Mrad, Emna Baccour, Ridha Hamila, Muhammad Asif Khan, Aiman Erbad, Mounir Hamdi:
RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming. ISCC 2023: 193-199 - [c90]Khalid Mahmoud Mohammad Dolaat, Aiman Erbad, Muhammad Ibrar:
Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image Datasets. ISNCC 2023: 1-4 - [c89]Ali Haider, Sana Saeed, Kashif Bilal, Aiman Erbad:
A Hybrid Approach for Food Name Recognition in Restaurant Reviews. ISNCC 2023: 1-6 - [c88]Mahdi Houchati, Aymen Omri, Hussam Kanaan, Aiman Erbad, Muhammad Ibrar, Juan M. Corchado, Sergio Márquez Sánchez:
A Novel Optimal Wireless Thermal Sensor Placement Approach for Large Commercial Buildings. ISNCC 2023: 1-7 - [c87]Hela Marouane, Abdulhalim Dandoush, Lamine Amour, Aiman Erbad:
Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive Study. ISNCC 2023: 1-6 - [c86]Samra Zafar, Muhammad Ibrar, Aiman Erbad, Bakhtawar Zafar, Nizam Hussain Zaydi, Xiaopeng Hu:
Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks. ISNCC 2023: 1-6 - [c85]Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Mohsen Guizani:
HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G. IWCMC 2023: 836-841 - [c84]Muhammad Ibrar, Aiman Erbad, Mohammed Abegaz, Aamir Akbar, Mahdi Houchati, Juan M. Corchado:
REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings. IWCMC 2023: 860-865 - [c83]Zina Chkirbene, Ridha Hamila, Aiman Erbad:
Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory. IWCMC 2023: 1101-1106 - [c82]Fazeela Mazhar Khan, Emna Baccour, Aiman Erbad, Mounir Hamdi:
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems. IWCMC 2023: 1543-1549 - [c81]Ali Riahi, Amr Mohamed, Aiman Erbad:
BC-FL Location-Based Disease Detection in Healthcare IoT. IWCMC 2023: 1684-1689 - [c80]Marwan Dhuheir, Aiman Erbad, Sinan Sabeeh:
LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms. WCNC 2023: 1-6 - [i44]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Abegaz Mohammed Seid, Aiman Erbad, Octavia A. Dobre:
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. CoRR abs/2304.13423 (2023) - [i43]Rami Hamdi, Ahmed Ben Said, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer. CoRR abs/2305.01953 (2023) - [i42]Marwan Dhuheir, Aiman Erbad, Sinan Sabeeh:
LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms. CoRR abs/2305.15858 (2023) - [i41]Emna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed, Ahmed Refaey Hussein, Mounir Hamdi:
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks. CoRR abs/2307.11468 (2023) - [i40]Fazeela Mazhar Khan, Emna Baccour, Aiman Erbad, Mounir Hamdi:
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems. CoRR abs/2307.11499 (2023) - [i39]Abdulrahman Soliman, Amr Mohamed, Elias Yaacoub, Nikhil V. Navkar, Aiman Erbad:
Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications. CoRR abs/2310.05099 (2023) - 2022
- [j61]Muhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj:
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges. IEEE Access 10: 120514-120550 (2022) - [j60]Aliya Tabassum, Aiman Erbad, Wadha Lebda, Amr Mohamed, Mohsen Guizani:
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning. Comput. Commun. 192: 299-310 (2022) - [j59]Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence. IEEE Commun. Surv. Tutorials 24(4): 2366-2418 (2022) - [j58]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine:
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. Future Gener. Comput. Syst. 128: 406-419 (2022) - [j57]Mohammed Jouhari, Abdulla Khalid Al-Ali, Emna Baccour, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Mounir Hamdi:
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization. IEEE Internet Things J. 9(2): 1227-1242 (2022) - [j56]Rami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi:
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks. IEEE Internet Things J. 9(9): 6458-6476 (2022) - [j55]Hela Chamkhia, Aiman Erbad, Abdulla Khalid Al-Ali, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems. IEEE Internet Things J. 9(9): 6663-6677 (2022) - [j54]Abderrazak Abdaoui, Aiman Erbad, Abdulla Khalid Al-Ali, Amr Mohamed, Mohsen Guizani:
Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things. IEEE Internet Things J. 9(12): 9987-9998 (2022) - [j53]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad, Octavia A. Dobre:
Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms. IEEE Internet Things J. 9(24): 25626-25642 (2022) - [j52]Hend Gedawy, Khaled A. Harras, Aiman Erbad:
On Leveraging FemtoClouds for Federated Learning. IEEE Internet Things Mag. 5(3): 68-75 (2022) - [j51]Kashif Bilal, Junaid Shuja, Aiman Erbad, Waleed Alasmary, Eisa Alanazi, Abdullah Alourani:
Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution. Sensors 22(3): 1092 (2022) - [j50]Emna Baccour, Fatima Haouari, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani, Mounir Hamdi:
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment. IEEE Syst. J. 16(1): 240-251 (2022) - [j49]Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 1287-1300 (2022) - [j48]Naram Mhaisen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints. IEEE Trans. Netw. Sci. Eng. 9(1): 55-66 (2022) - [j47]Zina Chkirbene, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems. IEEE Trans. Netw. Sci. Eng. 9(1): 258-270 (2022) - [j46]Naram Mhaisen, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems. IEEE Trans. Netw. Sci. Eng. 9(2): 401-415 (2022) - [j45]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems. IEEE Trans. Netw. Sci. Eng. 9(4): 2066-2083 (2022) - [j44]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3258-3271 (2022) - [j43]Lamiaa Basyoni, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling. IEEE Trans. Netw. Sci. Eng. 9(5): 3396-3410 (2022) - [c79]Abegaz Mohammed Seid, Hayla Nahom Abishu, Abdullatif Albaseer, Aiman Erbad, Mohamed Abdallah, Mohsen Guizani:
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network. GLOBECOM 2022: 1417-1422 - [c78]Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein:
On the Modeling of Reliability in Extreme Edge Computing Systems. ICCSPA 2022: 1-6 - [c77]Hend Gedawy, Khaled A. Harras, Aiman Erbad:
Leveraging Semi-Connected Devices To Enhance Federated Learning. ICCSPA 2022: 1-6 - [c76]Somayya Elmoghazy, Elias Yaacoub, Nikhil V. Navkar, Amr Mohamed, Aiman Erbad:
Region of Interest Optimization for Delay-sensitive Telemedicine Applications. IWCMC 2022: 259-264 - [c75]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning. IWCMC 2022: 300-305 - [c74]Hassan Saadat, Mhd Saria Allahham, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed:
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning. IWCMC 2022: 548-553 - [c73]Zina Chkirbene, Ridha Hamila, Aiman Erbad:
Secure Medical Data Sharing For Healthcare System. PIMRC 2022: 641-647 - [c72]Ilyes Mrad, Lutfi Samara, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz:
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design. PIMRC 2022: 975-981 - [c71]Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks. WCNC 2022: 262-267 - [c70]Rami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi:
Dynamic LoRa Wireless Networks Powered by Hybrid Energy. WCNC 2022: 830-835 - [c69]Hela Chamkhia, Aiman Erbad, Abdulla K. Al-Ali, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
PLS Performance Analysis of a Hybrid NOMA-OMA based IoT System with Mobile Sensors. WCNC 2022: 1419-1424 - [c68]Amr Abo-eleneen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad:
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT. WTS 2022: 1-6 - [d1]Alaa Awad Abdellatif, Zina Chkirbene, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Mark Dennis O'Connor, James Laughton, Anthony Villacorte, Johansen Menez:
EEG Data for Patients Receiving Intravenous Antibiotic Medication. IEEE DataPort, 2022 - [i38]Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks. CoRR abs/2202.10308 (2022) - [i37]Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein:
On the Modeling of Reliability in Extreme Edge Computing Systems. CoRR abs/2208.05817 (2022) - [i36]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems. CoRR abs/2208.13032 (2022) - [i35]Muhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj:
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges. CoRR abs/2209.05761 (2022) - [i34]Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh Al-Obaidi, Mounir Hamdi:
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms. CoRR abs/2212.11201 (2022) - 2021
- [j42]Aliya Tabassum, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems. IEEE Access 9: 14271-14283 (2021) - [j41]Lamiaa Basyoni, Aiman Erbad, Mashael AlSabah, Noora Fetais, Amr Mohamed, Mohsen Guizani:
QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol. IEEE Access 9: 28769-28784 (2021) - [j40]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems. IEEE Access 9: 54872-54887 (2021) - [j39]Kamran Zahoor, Kashif Bilal, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast. IEEE Access 9: 59508-59526 (2021) - [j38]Yahuza Bello, Alaa Awad Abdellatif, Mhd Saria Allahham, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. IEEE Access 9: 158204-158214 (2021) - [j37]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad:
Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems. Comput. Networks 197: 108279 (2021) - [j36]Jaspreet Singh, Yahuza Bello, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed:
Hierarchical Security Paradigm for IoT Multiaccess Edge Computing. IEEE Internet Things J. 8(7): 5794-5805 (2021) - [j35]Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Elias Yaacoub, Mohsen Guizani:
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning. IEEE Internet Things J. 8(8): 6454-6468 (2021) - [j34]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton:
MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange. IEEE Internet Things J. 8(21): 15762-15775 (2021) - [j33]Sahil Garg, Gagangeet Singh Aujla, Aiman Erbad, Joel J. P. C. Rodrigues, Min Chen, Xianbin Wang:
Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation. IEEE Netw. 35(1): 16-19 (2021) - [j32]Zina Chkirbene, Aiman Erbad, Ridha Hamila, Ala Gouissem, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance. IEEE Syst. J. 15(4): 4780-4791 (2021) - [j31]Alaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino, Amr Mohamed, Aiman Erbad:
Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles. IEEE Trans. Veh. Technol. 70(4): 3059-3070 (2021) - [c67]Ilyes Mrad, Ridha Hamila, Aiman Erbad, Tahir Hamid, Rashid Mazhar, Nasser Al-Emadi:
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes. EUVIP 2021: 1-6 - [c66]Abderrazak Abdaoui, Aiman Erbad, Abdulla K. Al-Ali, Amr Mohamed, Mohsen Guizani:
A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. GLOBECOM (Workshops) 2021: 1-6 - [c65]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. GLOBECOM 2021: 1-6 - [c64]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning. GLOBECOM 2021: 1-6 - [c63]Hela Chamkhia, Aiman Erbad, Abdullah Al-Ali, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System. GLOBECOM (Workshops) 2021: 1-6 - [c62]Heba D. M. Dawoud, Mhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [c61]Rami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi:
Reinforcement Learning for Hybrid Energy LoRa Wireless Networks. GLOBECOM 2021: 1-7 - [c60]Rami Hamdi, Ahmed Ben Said, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer. GLOBECOM 2021: 1-6 - [c59]Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad:
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. GLOBECOM 2021: 1-6 - [c58]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems. HPSR 2021: 1-6 - [c57]Alaa Awad Abdellatif, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems. ICC 2021: 1-6 - [c56]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. ICC Workshops 2021: 1-6 - [c55]Yahuza Bello, Mhd Saria Allahham, Ahmed Refaey, Aiman Erbad, Amr Mohamed, Nabil Abdennadher:
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. ICC Workshops 2021: 1-7 - [c54]Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems. ICC 2021: 1-6 - [c53]Hend Gedawy, Abdulla K. Al-Ali, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations. IWCMC 2021: 278-284 - [c52]Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah, Mounir Hamdi:
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. IWCMC 2021: 681-687 - [c51]Zina Chkirbene, Habib Ben Abdallah, Kawther Hassine, Ridha Hamila, Aiman Erbad:
Data Augmentation for Intrusion Detection and Classification in Cloud Networks. IWCMC 2021: 831-836 - [c50]Zina Chkirbene, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz, Nasser Al-Emadi, Mounir Hamdi:
Cooperative Machine Learning Techniques for Cloud Intrusion Detection. IWCMC 2021: 837-842 - [c49]Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh, Mounir Hamdi:
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks. IWCMC 2021: 1954-1959 - [c48]Somayya Elmoghazy, Elias Yaacoub, Nikhil V. Navkar, Amr Mohamed, Aiman Erbad:
Survey of Immersive Techniques for Surgical Care Telemedicine Applications. MECO 2021: 1-6 - [c47]Hassan Saadat, Abdulla Aboumadi, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Hierarchical Federated Learning for Collaborative IDS in IoT Applications. MECO 2021: 1-6 - [c46]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Smart and Secure Blockchain-based Healthcare System Using Deep Q-Learning. WF-IoT 2021: 464-469 - [c45]Hela Chamkhia, Abdulla K. Al-Ali, Amr Mohamed, Mohsen Guizani, Aiman Erbad, Ahmed Refaey:
Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users. WF-IoT 2021: 633-638 - [i33]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. CoRR abs/2104.05509 (2021) - [i32]Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. CoRR abs/2105.01798 (2021) - [i31]Mohammed Jouhari, Abdulla K. Al-Ali, Emna Baccour, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Mounir Hamdi:
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization. CoRR abs/2105.11013 (2021) - [i30]Emna Baccour, Fatima Haouari, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani, Mounir Hamdi:
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment. CoRR abs/2106.02420 (2021) - [i29]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. CoRR abs/2106.12561 (2021) - [i28]Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh, Mounir Hamdi:
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks. CoRR abs/2107.04648 (2021) - [i27]Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah, Mounir Hamdi:
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. CoRR abs/2107.05989 (2021) - [i26]Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine:
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data. CoRR abs/2107.06548 (2021) - [i25]Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. CoRR abs/2108.04087 (2021) - [i24]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. CoRR abs/2108.08768 (2021) - [i23]Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad:
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. CoRR abs/2108.10748 (2021) - [i22]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Multi-Orchestrator Mobile Edge Learning. CoRR abs/2109.00757 (2021) - [i21]Rami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi:
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks. CoRR abs/2109.02392 (2021) - [i20]Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach. CoRR abs/2109.12409 (2021) - 2020
- [j30]Zina Chkirbene, Aiman Erbad, Ridha Hamila, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection. IEEE Access 8: 95864-95877 (2020) - [j29]Farida Sabry, Wadha Labda, Aiman Erbad, Qutaibah M. Malluhi:
Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities. IEEE Access 8: 175840-175858 (2020) - [j28]Deval Bhamare, Maede Zolanvari, Aiman Erbad, Raj Jain, Khaled M. Khan, Nader Meskin:
Cybersecurity for industrial control systems: A survey. Comput. Secur. 89 (2020) - [j27]Husam Al Jawaheri, Mashael Al Sabah, Yazan Boshmaf, Aiman Erbad:
Deanonymizing Tor hidden service users through Bitcoin transactions analysis. Comput. Secur. 89 (2020) - [j26]Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani:
PCCP: Proactive Video Chunks Caching and Processing in edge networks. Future Gener. Comput. Syst. 105: 44-60 (2020) - [j25]Naram Mhaisen, Noora Fetais, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications. Future Gener. Comput. Syst. 111: 39-51 (2020) - [j24]Emna Baccour, Aiman Erbad, Amr Mohamed, Fatima Haouari, Mohsen Guizani, Mounir Hamdi:
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos. Future Gener. Comput. Syst. 112: 982-995 (2020) - [j23]Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication. J. Netw. Comput. Appl. 172: 102801 (2020) - [j22]Kamran Zahoor, Kashif Bilal, Aiman Erbad, Amr Mohamed:
Service-Less Video Multicast in 5G: Enablers and Challenges. IEEE Netw. 34(3): 270-276 (2020) - [j21]Alaa Awad Abdellatif, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Ahmed Refaey:
ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems. IEEE Netw. 34(4): 312-319 (2020) - [j20]Zina Chkirbene, Aiman Erbad, Ridha Hamila, Ala Gouissem, Amr Mohamed, Mounir Hamdi:
Machine Learning Based Cloud Computing Anomalies Detection. IEEE Netw. 34(6): 178-183 (2020) - [c44]Jaspreet Singh, Marwan Dhuheir, Ahmed Refaey, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Navigation and Obstacle Avoidance System in Unknown Environment. CCECE 2020: 1-4 - [c43]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems. GLOBECOM 2020: 1-6 - [c42]Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Networks Selection Based Deep Reinforcement Learning for Heterogeneous Health Systems. HealthCom 2020: 1-6 - [c41]Sohaila Eltanbouly, May Bashendy, Noora AlNaimi, Zina Chkirbene, Aiman Erbad:
Machine Learning Techniques for Network Anomaly Detection: A Survey. ICIoT 2020: 156-162 - [c40]Zina Chkirbene, Sohaila Eltanbouly, May Bashendy, Noora AlNaimi, Aiman Erbad:
Hybrid Machine Learning for Network Anomaly Intrusion Detection. ICIoT 2020: 163-170 - [c39]Lamiaa Basyoni, Noora Fetais, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Traffic Analysis Attacks on Tor: A Survey. ICIoT 2020: 183-188 - [c38]Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. ICIoT 2020: 476-483 - [c37]Salma Shalaby, Alaa Awad Abdellatif, Abdulla K. Al-Ali, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Performance Evaluation of Hyperledger Fabric. ICIoT 2020: 608-613 - [c36]Lamiaa Basyoni, Aiman Erbad, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
Proportionally Fair approach for Tor's Circuits Scheduling. ISNCC 2020: 1-6 - [c35]Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Smart Edge Healthcare Data Sharing System. IWCMC 2020: 577-582 - [c34]Zina Chkirbene, Aiman Erbad, Ridha Hamila, Ala Gouissem, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
Iterative Per Group Feature Selection For Intrusion Detection. IWCMC 2020: 708-713 - [c33]Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks. IWCMC 2020: 1770-1776 - [c32]Zina Chkirbene, Abeer Z. Al-Marridi, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mark Dennis O'Connor, James Laughton, Anthony Villacorte, Johansen Menez:
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication. IWCMC 2020: 1897-1902 - [c31]Zien Sheikh Ali, Nandhini Subramanian, Aiman Erbad:
Smart Health Monitoring for Seizure Detection using Mobile Edge Computing. IWCMC 2020: 1903-1908 - [c30]Omar Ait Oualhaj, Amr Mohamed, Mohsen Guizani, Aiman Erbad:
Blockchain Based Decentralized Trust Management framework. IWCMC 2020: 2210-2215 - [c29]Zina Chkirbene, Aiman Erbad, Ridha Hamila, Ala Gouissem, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
Weighted Trustworthiness for ML Based Attacks Classification. WCNC 2020: 1-7 - [i19]Deval Bhamare, Maede Zolanvari, Aiman Erbad, Raj Jain, Khaled M. Khan, Nader Meskin:
Cybersecurity for Industrial Control Systems: A Survey. CoRR abs/2002.04124 (2020) - [i18]Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. CoRR abs/2003.10820 (2020) - [i17]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini, Mounira Tlili, Aiman Erbad:
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges. CoRR abs/2004.07311 (2020) - [i16]Alaa Awad Abdellatif, Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Ahmed Refaey:
SSHealth: Toward Secure, Blockchain-Enabled Healthcare Systems. CoRR abs/2006.10843 (2020) - [i15]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Mohsen Guizani, Aiman Erbad, Abdulla K. Al-Ali:
Compress or Interfere? CoRR abs/2006.15342 (2020) - [i14]Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems. CoRR abs/2010.13234 (2020) - [i13]Lamiaa Basyoni, Aiman Erbad, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
Proportionally Fair approach for Tor's Circuits Scheduling. CoRR abs/2011.07761 (2020) - [i12]Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. CoRR abs/2012.05622 (2020) - [i11]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton:
I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management. CoRR abs/2012.14294 (2020)
2010 – 2019
- 2019
- [j19]Ubaid Ur Rahman, Kashif Bilal, Aiman Erbad, Osman Khalid, Samee U. Khan:
Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing. IEEE Access 7: 19922-19942 (2019) - [j18]Lav Gupta, Tara Salman, Maede Zolanvari, Aiman Erbad, Raj Jain:
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study. Comput. Networks 165 (2019) - [j17]Lav Gupta, Raj Jain, Aiman Erbad, Deval Bhamare:
The P-ART framework for placement of virtual network services in a multi-cloud environment. Comput. Commun. 139: 103-122 (2019) - [j16]Tara Salman, Maede Zolanvari, Aiman Erbad, Raj Jain, Mohammed Samaka:
Security Services Using Blockchains: A State of the Art Survey. IEEE Commun. Surv. Tutorials 21(1): 858-880 (2019) - [j15]Mohamed Fathi Al-Sa'D, Abdulla K. Al-Ali, Amr Mohamed, Tamer Khattab, Aiman Erbad:
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database. Future Gener. Comput. Syst. 100: 86-97 (2019) - [j14]Kashif Bilal, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Collaborative joint caching and transcoding in mobile edge networks. J. Netw. Comput. Appl. 136: 86-99 (2019) - [j13]Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini, Mounira Tlili, Aiman Erbad:
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges. IEEE Netw. 33(3): 196-203 (2019) - [c28]Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
Transcoding Resources Forecasting and Reservation for Crowdsourced Live Streaming. GLOBECOM 2019: 1-7 - [c27]Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach. ICC 2019: 1-6 - [c26]Nada Aboueata, Sara Alrasbi, Aiman Erbad, Andreas Kassler, Deval Bhamare:
Supervised Machine Learning Techniques for Efficient Network Intrusion Detection. ICCCN 2019: 1-8 - [c25]Lav Gupta, Tara Salman, Ria Das, Aiman Erbad, Raj Jain, Mohammed Samaka:
HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems. ICNC 2019: 141-147 - [c24]Kawther Hassine, Aiman Erbad, Ridha Hamila:
Important Complexity Reduction of Random Forest in Multi-Classification Problem. IWCMC 2019: 226-231 - [c23]Lamiaa Basyoni, Aiman Erbad, Mashael Al Sabah, Noora Fetais, Mohsen Guizani:
Empirical Performance Evaluation of QUIC Protocol for Tor Anonymity Network. IWCMC 2019: 635-642 - [c22]Emna Baccour, Sebti Foufou, Ridha Hamila, Aiman Erbad:
Green data center networks: a holistic survey and design guidelines. IWCMC 2019: 1108-1114 - [c21]Aliya Tabassum, Aiman Erbad, Mohsen Guizani:
A Survey on Recent Approaches in Intrusion Detection System in IoTs. IWCMC 2019: 1190-1197 - [c20]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad, Abdulla K. Al-Ali, Mohsen Guizani:
Efficient EEG Mobile Edge Computing and Optimal Resource Allocation for Smart Health Applications. IWCMC 2019: 1261-1266 - [c19]Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication. IWCMC 2019: 1550-1556 - [c18]Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Abdulla K. Al-Ali, Aiman Erbad, Mohsen Guizani:
Compress or Interfere? SECON 2019: 1-6 - [c17]Emna Baccour, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani:
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks. WCNC 2019: 1-7 - [c16]Zina Chkirbene, Aiman Erbad, Ridha Hamila:
A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information. WCNC 2019: 1-6 - [c15]Farida Sabry, Wadha Labda, Aiman Erbad, Husam Al Jawaheri, Qutaibah M. Malluhi:
Anonymity and Privacy in Bitcoin Escrow Trades. WPES@CCS 2019: 211-220 - [i10]Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, H. Anthony Chan:
Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture. CoRR abs/1903.11550 (2019) - [i9]Lav Gupta, Mohammed Samaka, Raj Jain, Aiman Erbad, Deval Bhamare, H. Anthony Chan:
Fault and Performance Management in Multi-Cloud Based NFV using Shallow and Deep Predictive Structures. CoRR abs/1903.11993 (2019) - [i8]Deval Bhamare, Aiman Erbad, Raj Jain, Maede Zolanvari, Mohammed Samaka:
Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks. CoRR abs/1903.11994 (2019) - [i7]Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta:
Exploring Micro-Services for Enhancing Internet QoS. CoRR abs/1903.12509 (2019) - [i6]Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani:
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach. CoRR abs/1906.09086 (2019) - 2018
- [j12]Kashif Bilal, Marc Manzano, Aiman Erbad, Eusebi Calle, Samee U. Khan:
Robustness quantification of hierarchical complex networks under targeted failures. Comput. Electr. Eng. 72: 112-124 (2018) - [j11]Kashif Bilal, Osman Khalid, Aiman Erbad, Samee U. Khan:
Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers. Comput. Networks 130: 94-120 (2018) - [j10]Deval Bhamare, Aiman Erbad, Raj Jain, Maede Zolanvari, Mohammed Samaka:
Efficient virtual network function placement strategies for Cloud Radio Access Networks. Comput. Commun. 127: 50-60 (2018) - [j9]Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta:
Exploring microservices for enhancing internet QoS. Trans. Emerg. Telecommun. Technol. 29(11) (2018) - [j8]Kashif Bilal, Aiman Erbad, Mohamed Hefeeda:
QoE-aware distributed cloud-based live streaming of multisourced multiview videos. J. Netw. Comput. Appl. 120: 130-144 (2018) - [c14]Abeer Z. Al-Marridi, Amr Mohamed, Aiman Erbad:
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems. IWCMC 2018: 370-375 - [i5]Husam Al Jawaheri, Mashael Al Sabah, Yazan Boshmaf, Aiman Erbad:
When A Small Leak Sinks A Great Ship: Deanonymizing Tor Hidden Service Users Through Bitcoin Transactions Analysis. CoRR abs/1801.07501 (2018) - [i4]Tara Salman, Maede Zolanvari, Aiman Erbad, Raj Jain, Mohammed Samaka:
Security Services Using Blockchains: A State of the Art Survey. CoRR abs/1810.08735 (2018) - [i3]Deval Bhamare, Tara Salman, Mohammed Samaka, Aiman Erbad, Raj Jain:
Feasibility of Supervised Machine Learning for Cloud Security. CoRR abs/1810.09878 (2018) - [i2]Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka:
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments. CoRR abs/1812.05443 (2018) - [i1]Emna Baccour, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani:
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks. CoRR abs/1812.06501 (2018) - 2017
- [j7]Kashif Bilal, Aiman Erbad, Mohamed Hefeeda:
Crowdsourced Multi-View Live Video Streaming using Cloud Computing. IEEE Access 5: 12635-12647 (2017) - [j6]Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, H. Anthony Chan:
Optimal virtual network function placement in multi-cloud service function chaining architecture. Comput. Commun. 102: 1-16 (2017) - [j5]Lav Gupta, Mohammed Samaka, Raj Jain, Aiman Erbad, Deval Bhamare, H. Anthony Chan:
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures. J. Reliab. Intell. Environ. 3(4): 221-231 (2017) - [c13]Lav Gupta, Mohammed Samaka, Raj Jain, Aiman Erbad, Deval Bhamare, Chris Metz:
COLAP: A predictive framework for service function chain placement in a multi-cloud environment. CCWC 2017: 1-9 - [c12]Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka:
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments. CSCloud 2017: 97-103 - [c11]Kashif Bilal, Aiman Erbad:
Edge computing for interactive media and video streaming. FMEC 2017: 68-73 - [c10]Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka:
Automated service delivery platform for C-RANs. FMEC 2017: 219-224 - [c9]Kashif Bilal, Aiman Erbad:
Impact of Multiple Video Representations in Live Streaming: A Cost, Bandwidth, and QoE Analysis. IC2E 2017: 88-94 - [c8]Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, H. Anthony Chan:
Multi-objective scheduling of micro-services for optimal service function chains. ICC 2017: 1-6 - [c7]Lav Gupta, Mohammed Samaka, Raj Jain, Aiman Erbad, Deval Bhamare, H. Anthony Chan:
Fault and Performance Management in Multi-Cloud Based NFV Using Shallow and Deep Predictive Structures. ICCCN 2017: 1-8 - 2016
- [j4]Deval Bhamare, Raj Jain, Mohammed Samaka, Aiman Erbad:
A survey on service function chaining. J. Netw. Comput. Appl. 75: 138-155 (2016) - 2015
- [c6]Deval Bhamare, Raj Jain, Mohammed Samaka, Gabor Vaszkun, Aiman Erbad:
Multi-cloud Distribution of Virtual Functions and Dynamic Service Deployment: Open ADN Perspective. IC2E 2015: 299-304 - 2014
- [j3]Debadatta Mishra, Magda El Zarki, Aiman Erbad, Cheng-Hsin Hsu, Nalini Venkatasubramanian:
Clouds + Games: A Multifaceted Approach. IEEE Internet Comput. 18(3): 20-27 (2014) - [c5]Chen-Chih Liao, Ting-Fang Hou, Ting-Yi Lin, Yi-Jun Cheng, Aiman Erbad, Cheng-Hsin Hsu, Nalini Venkatasubramanian:
SAIS: Smartphone Augmented Infrastructure Sensing for Public Safety and Sustainability in Smart Cities. EMASC@MM 2014: 3-8 - [c4]Yu-Siang Huang, Cheng-Hsin Hsu, Magda El Zarki, Aiman Erbad, Nalini Venkatasubramanian:
On Optimizing MMVEs in Network-Aware Clouds. MMVE@MMSys 2014: 6:1-6:2 - 2012
- [j2]Aiman Erbad, Charles Krasic:
Sender-side buffers and the case for multimedia adaptation. Commun. ACM 55(12): 50-58 (2012) - [j1]Aiman Erbad, Charles Krasic:
Sender-side Buffers and the Case for Multimedia Adaptation. ACM Queue 10(10): 10 (2012) - [c3]Aiman Erbad, Norman C. Hutchinson, Charles Krasic:
DOHA: scalable real-time web applications through adaptive concurrent execution. WWW 2012: 161-170 - 2010
- [c2]Aiman Erbad, Mahdi Tayarani Najaran, Charles Krasic:
Paceline: latency management through adaptive output. MMSys 2010: 181-192
2000 – 2009
- 2008
- [c1]Aiman Erbad, Michael Blackstock, Adrian Friday, Rodger Lea, Jalal Al-Muhtadi:
MAGIC Broker: A Middleware Toolkit for Interactive Public Displays. PerCom 2008: 509-514
Coauthor Index
aka: Alaa Awad Abdellatif
aka: Ahmed Refaey Hussein
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