MAGIC Broker: A Middleware Toolkit for Interactive Public Displays. - Aiman Erbad; Michael Blackstock; Adrian Friday; Rodger Lea; Jalal Al-Muhtadi (PerCom, 2008)

Paceline: latency management through adaptive output. - Aiman Erbad; Mahdi Tayarani Najaran; Charles Krasic (MMSys, 2010)

DOHA: scalable real-time web applications through adaptive concurrent execution. - Aiman Erbad; Norman C. Hutchinson; Charles Krasic (WWW, 2012)

Sender-side Buffers and the Case for Multimedia Adaptation. - Aiman Erbad; Charles Krasic (ACM Queue, 2012)

SAIS: Smartphone Augmented Infrastructure Sensing for Public Safety and Sustainability in Smart Cities. - Chen-Chih Liao; Ting-Fang Hou; Ting-Yi Lin; Yi-Jun Cheng; Aiman Erbad; Cheng-Hsin Hsu; Nalini Venkatasubramanian (EMASC@MM, 2014)

On Optimizing MMVEs in Network-Aware Clouds. - Yu-Siang Huang; Cheng-Hsin Hsu; Magda El Zarki; Aiman Erbad; Nalini Venkatasubramanian (MMVE@MMSys, 2014)

Clouds + Games: A Multifaceted Approach. - Debadatta Mishra; Magda El Zarki; Aiman Erbad; Cheng-Hsin Hsu; Nalini Venkatasubramanian (IEEE Internet Comput., 2014)

Multi-cloud Distribution of Virtual Functions and Dynamic Service Deployment: Open ADN Perspective. - Deval Bhamare; Raj Jain; Mohammed Samaka; Gabor Vaszkun; Aiman Erbad (IC2E, 2015)

A survey on service function chaining. - Deval Bhamare; Raj Jain; Mohammed Samaka; Aiman Erbad (J. Netw. Comput. Appl., 2016)

COLAP: A predictive framework for service function chain placement in a multi-cloud environment. - Lav Gupta; Mohammed Samaka; Raj Jain; Aiman Erbad; Deval Bhamare; Chris Metz 001 (CCWC, 2017)

Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments. - Tara Salman; Deval Bhamare; Aiman Erbad; Raj Jain; Mohammed Samaka (CSCloud, 2017)

Automated service delivery platform for C-RANs. - Deval Bhamare; Aiman Erbad; Raj Jain; Mohammed Samaka (FMEC, 2017)

Edge computing for interactive media and video streaming. - Kashif Bilal; Aiman Erbad (FMEC, 2017)

Impact of Multiple Video Representations in Live Streaming: A Cost, Bandwidth, and QoE Analysis. - Kashif Bilal; Aiman Erbad (IC2E, 2017)

Multi-objective scheduling of micro-services for optimal service function chains. - Deval Bhamare; Mohammed Samaka; Aiman Erbad; Raj Jain; Lav Gupta; H. Anthony Chan (ICC, 2017)

Crowdsourced Multi-View Live Video Streaming using Cloud Computing. - Kashif Bilal; Aiman Erbad; Mohamed Hefeeda (IEEE Access, 2017)

Optimal virtual network function placement in multi-cloud service function chaining architecture. - Deval Bhamare; Mohammed Samaka; Aiman Erbad; Raj Jain; Lav Gupta; H. Anthony Chan (Comput. Commun., 2017)

Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures. - Lav Gupta; Mohammed Samaka; Raj Jain; Aiman Erbad; Deval Bhamare; H. Anthony Chan (J. Reliab. Intell. Environ., 2017)

Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad (IWCMC, 2018)

Robustness quantification of hierarchical complex networks under targeted failures. - Kashif Bilal; Marc Manzano; Aiman Erbad; Eusebi Calle; Samee U. Khan (Comput. Electr. Eng., 2018)

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers. - Kashif Bilal; Osman Khalid; Aiman Erbad; Samee U. Khan (Comput. Networks, 2018)

Efficient virtual network function placement strategies for Cloud Radio Access Networks. - Deval Bhamare; Aiman Erbad; Raj Jain; Maede Zolanvari; Mohammed Samaka (Comput. Commun., 2018)

When A Small Leak Sinks A Great Ship: Deanonymizing Tor Hidden Service Users Through Bitcoin Transactions Analysis. - Husam Al Jawaheri; Mashael Al Sabah; Yazan Boshmaf; Aiman Erbad (CoRR, 2018)

Feasibility of Supervised Machine Learning for Cloud Security. - Deval Bhamare; Tara Salman; Mohammed Samaka; Aiman Erbad; Raj Jain (CoRR, 2018)

Exploring microservices for enhancing internet QoS. - Deval Bhamare; Mohammed Samaka; Aiman Erbad; Raj Jain; Lav Gupta (Trans. Emerg. Telecommun. Technol., 2018)

QoE-aware distributed cloud-based live streaming of multisourced multiview videos. - Kashif Bilal; Aiman Erbad; Mohamed Hefeeda (J. Netw. Comput. Appl., 2018)

Transcoding Resources Forecasting and Reservation for Crowdsourced Live Streaming. - Fatima Haouari; Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (GLOBECOM, 2019)

QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach. - Fatima Haouari; Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (ICC, 2019)

Supervised Machine Learning Techniques for Efficient Network Intrusion Detection. - Nada Aboueata; Sara Alrasbi; Aiman Erbad; Andreas Kassler; Deval Bhamare (ICCCN, 2019)

HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems. - Lav Gupta; Tara Salman; Ria Das; Aiman Erbad; Raj Jain; Mohammed Samaka (ICNC, 2019)

Efficient EEG Mobile Edge Computing and Optimal Resource Allocation for Smart Health Applications. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad; Abdulla K. Al-Ali; Mohsen Guizani (IWCMC, 2019)

CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (IWCMC, 2019)

Green data center networks: a holistic survey and design guidelines. - Emna Baccour; Sebti Foufou; Ridha Hamila; Aiman Erbad (IWCMC, 2019)

Empirical Performance Evaluation of QUIC Protocol for Tor Anonymity Network. - Lamiaa Basyoni; Aiman Erbad; Mashael Al Sabah; Noora Fetais; Mohsen Guizani (IWCMC, 2019)

Important Complexity Reduction of Random Forest in Multi-Classification Problem. - Kawther Hassine; Aiman Erbad; Ridha Hamila (IWCMC, 2019)

A Survey on Recent Approaches in Intrusion Detection System in IoTs. - Aliya Tabassum; Aiman Erbad; Mohsen Guizani (IWCMC, 2019)

Compress or Interfere? - Alaa Awad Abdellatif; Lutfi Samara; Amr Mohamed 001; Abdulla K. Al-Ali; Aiman Erbad; Mohsen Guizani (SECON, 2019)

Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Kashif Bilal; Mohsen Guizani (WCNC, 2019)

A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information. - Zina Chkirbene; Aiman Erbad; Ridha Hamila (WCNC, 2019)

Anonymity and Privacy in Bitcoin Escrow Trades. - Farida Sabry; Wadha Labda; Aiman Erbad; Husam Al Jawaheri; Qutaibah M. Malluhi (WPES@CCS, 2019)

Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing. - Ubaid Ur Rahman; Kashif Bilal; Aiman Erbad; Osman Khalid; Samee U. Khan (IEEE Access, 2019)

Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study. - Lav Gupta; Tara Salman; Maede Zolanvari; Aiman Erbad; Raj Jain (Comput. Networks, 2019)

The P-ART framework for placement of virtual network services in a multi-cloud environment. - Lav Gupta; Raj Jain; Aiman Erbad; Deval Bhamare (Comput. Commun., 2019)

Security Services Using Blockchains: A State of the Art Survey. - Tara Salman; Maede Zolanvari; Aiman Erbad; Raj Jain; Mohammed Samaka (IEEE Commun. Surv. Tutorials, 2019)

Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture. - Deval Bhamare; Mohammed Samaka; Aiman Erbad; Raj Jain; Lav Gupta; H. Anthony Chan (CoRR, 2019)

Exploring Micro-Services for Enhancing Internet QoS. - Deval Bhamare; Mohammed Samaka; Aiman Erbad; Raj Jain; Lav Gupta (CoRR, 2019)

RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database. - Mohamed Fathi Al-Sa'D; Abdulla K. Al-Ali; Amr Mohamed 001; Tamer Khattab; Aiman Erbad (Future Gener. Comput. Syst., 2019)

Collaborative joint caching and transcoding in mobile edge networks. - Kashif Bilal; Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (J. Netw. Comput. Appl., 2019)

Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges. - Alaa Awad Abdellatif; Amr Mohamed 001; Carla-Fabiana Chiasserini; Mounira Tlili; Aiman Erbad (IEEE Netw., 2019)

Navigation and Obstacle Avoidance System in Unknown Environment. - Jaspreet Singh; Marwan Dhuheir; Ahmed Refaey; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (CCECE, 2020)

DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (GLOBECOM, 2020)

Energy-Efficient Networks Selection Based Deep Reinforcement Learning for Heterogeneous Health Systems. - Zina Chkirbene; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (HealthCom, 2020)

FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. - Emna Baccour; Aiman Erbad; Kashif Bilal; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (ICIoT, 2020)

Traffic Analysis Attacks on Tor: A Survey. - Lamiaa Basyoni; Noora Fetais; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (ICIoT, 2020)

Hybrid Machine Learning for Network Anomaly Intrusion Detection. - Zina Chkirbene; Sohaila Eltanbouly; May Bashendy; Noora AlNaimi; Aiman Erbad (ICIoT, 2020)

Machine Learning Techniques for Network Anomaly Detection: A Survey. - Sohaila Eltanbouly; May Bashendy; Noora AlNaimi; Zina Chkirbene; Aiman Erbad (ICIoT, 2020)

Performance Evaluation of Hyperledger Fabric. - Salma Shalaby; Alaa Awad Abdellatif; Abdulla K. Al-Ali; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (ICIoT, 2020)

Proportionally Fair approach for Tor's Circuits Scheduling. - Lamiaa Basyoni; Aiman Erbad; Amr Mohamed 001; Ahmed Refaey; Mohsen Guizani (ISNCC, 2020)

Smart Health Monitoring for Seizure Detection using Mobile Edge Computing. - Zien Sheikh Ali; Nandhini Subramanian; Aiman Erbad (IWCMC, 2020)

CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (IWCMC, 2020)

EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication. - Zina Chkirbene; Abeer Z. Al-Marridi; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mark Dennis O'Connor; James Laughton; Anthony Villacorte; Johansen Menez (IWCMC, 2020)

Iterative Per Group Feature Selection For Intrusion Detection. - Zina Chkirbene; Aiman Erbad; Ridha Hamila; Ala Gouissem; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (IWCMC, 2020)

Smart Edge Healthcare Data Sharing System. - Zina Chkirbene; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IWCMC, 2020)

Blockchain Based Decentralized Trust Management framework. - Omar Ait Oualhaj; Amr Mohamed 001; Mohsen Guizani; Aiman Erbad (IWCMC, 2020)

Weighted Trustworthiness for ML Based Attacks Classification. - Zina Chkirbene; Aiman Erbad; Ridha Hamila; Ala Gouissem; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (WCNC, 2020)

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection. - Zina Chkirbene; Aiman Erbad; Ridha Hamila; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (IEEE Access, 2020)

Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities. - Farida Sabry; Wadha Labda; Aiman Erbad; Qutaibah M. Malluhi (IEEE Access, 2020)

Cybersecurity for industrial control systems: A survey. - Deval Bhamare; Maede Zolanvari; Aiman Erbad; Raj Jain; Khaled M. Khan; Nader Meskin (Comput. Secur., 2020)

Deanonymizing Tor hidden service users through Bitcoin transactions analysis. - Husam Al Jawaheri; Mashael Al Sabah; Yazan Boshmaf; Aiman Erbad (Comput. Secur., 2020)

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. - Naram Mhaisen; Alaa Awad; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2020)

I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management. - Alaa Awad Abdellatif; Lutfi Samara; Amr Mohamed 001; Aiman Erbad; Carla-Fabiana Chiasserini; Mohsen Guizani; Mark Dennis O'Connor; James Laughton (CoRR, 2020)

PCCP: Proactive Video Chunks Caching and Processing in edge networks. - Emna Baccour; Aiman Erbad; Kashif Bilal; Amr Mohamed 001; Mohsen Guizani (Future Gener. Comput. Syst., 2020)

RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Fatima Haouari; Mohsen Guizani; Mounir Hamdi (Future Gener. Comput. Syst., 2020)

To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications. - Naram Mhaisen; Noora Fetais; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (Future Gener. Comput. Syst., 2020)

Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (J. Netw. Comput. Appl., 2020)

ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems. - Alaa Awad Abdellatif; Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad; Carla-Fabiana Chiasserini; Ahmed Refaey (IEEE Netw., 2020)

Machine Learning Based Cloud Computing Anomalies Detection. - Zina Chkirbene; Aiman Erbad; Ridha Hamila; Ala Gouissem; Amr Mohamed 001; Mounir Hamdi (IEEE Netw., 2020)

Service-Less Video Multicast in 5G: Enablers and Challenges. - Kamran Zahoor; Kashif Bilal; Aiman Erbad; Amr Mohamed 001 (IEEE Netw., 2020)

Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes. - Ilyes Mrad; Ridha Hamila; Aiman Erbad; Tahir Hamid; Rashid Mazhar; Nasser Al-Emadi (EUVIP, 2021)

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. - Abderrazak Abdaoui; Aiman Erbad; Abdulla K. Al-Ali; Amr Mohamed 001; Mohsen Guizani (GLOBECOM (Workshops), 2021)

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (GLOBECOM, 2021)

Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning. - Mhd Saria Allahham; Sameh Sorour; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (GLOBECOM, 2021)

Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System. - Hela Chamkhia; Aiman Erbad; Abdullah Al-Ali; Amr Mohamed 001; Ahmed Refaey; Mohsen Guizani (GLOBECOM (Workshops), 2021)

Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning. - Heba D. M. Dawoud; Mhd Saria Allahham; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (GLOBECOM, 2021)

Reinforcement Learning for Hybrid Energy LoRa Wireless Networks. - Rami Hamdi; Emna Baccour; Aiman Erbad; Marwa K. Qaraqe; Mounir Hamdi (GLOBECOM, 2021)

Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer. - Rami Hamdi; Ahmed Ben Said; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (GLOBECOM, 2021)

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. - Ilyes Mrad; Lutfi Samara; Alaa Awad Abdellatif; Abubakr O. Al-Abbasi; Ridha Hamila; Aiman Erbad (GLOBECOM, 2021)

CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (HPSR, 2021)

ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems. - Alaa Awad Abdellatif; Mhd Saria Allahham; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (ICC, 2021)

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (ICC Workshops, 2021)

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. - Yahuza Bello; Mhd Saria Allahham; Ahmed Refaey; Aiman Erbad; Amr Mohamed 001; Nabil Abdennadher (ICC Workshops, 2021)

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems. - Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (ICC, 2021)

Data Augmentation for Intrusion Detection and Classification in Cloud Networks. - Zina Chkirbene; Habib Ben Abdallah; Kawther Hassine; Ridha Hamila; Aiman Erbad (IWCMC, 2021)

Cooperative Machine Learning Techniques for Cloud Intrusion Detection. - Zina Chkirbene; Ridha Hamila; Aiman Erbad; Serkan Kiranyaz; Nasser Al-Emadi; Mounir Hamdi (IWCMC, 2021)

Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. - Marwan Dhuheir; Abdullatif Albaseer; Emna Baccour; Aiman Erbad; Mohamed M. Abdallah 001; Mounir Hamdi (IWCMC, 2021)

Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks. - Marwan Dhuheir; Emna Baccour; Aiman Erbad; Sinan Sabeeh; Mounir Hamdi (IWCMC, 2021)

UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations. - Hend Gedawy; Abdulla K. Al-Ali; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IWCMC, 2021)

Survey of Immersive Techniques for Surgical Care Telemedicine Applications. - Somayya Elmoghazy; Elias Yaacoub; Nikhil V. Navkar; Amr Mohamed 001; Aiman Erbad (MECO, 2021)

Hierarchical Federated Learning for Collaborative IDS in IoT Applications. - Hassan Saadat; Abdulla Aboumadi; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (MECO, 2021)

Smart and Secure Blockchain-based Healthcare System Using Deep Q-Learning. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (WF-IoT, 2021)

Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users. - Hela Chamkhia; Abdulla K. Al-Ali; Amr Mohamed 001; Mohsen Guizani; Aiman Erbad; Ahmed Refaey (WF-IoT, 2021)

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Access, 2021)

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol. - Lamiaa Basyoni; Aiman Erbad; Mashael AlSabah; Noora Fetais; Amr Mohamed 001; Mohsen Guizani (IEEE Access, 2021)

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core. - Yahuza Bello; Alaa Awad Abdellatif; Mhd Saria Allahham; Ahmed Refaey Hussein; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (IEEE Access, 2021)

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems. - Aliya Tabassum; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (IEEE Access, 2021)

Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast. - Kamran Zahoor; Kashif Bilal; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (IEEE Access, 2021)

Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad (Comput. Networks, 2021)

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. - Emna Baccour; Naram Mhaisen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (CoRR, 2021)

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. - Alaa Awad Abdellatif; Naram Mhaisen; Zina Chkirbene; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2021)

Energy-Efficient Multi-Orchestrator Mobile Edge Learning. - Mhd Saria Allahham; Sameh Sorour; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2021)

Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach. - Mhd Saria Allahham; Sameh Sorour; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (CoRR, 2021)

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange. - Alaa Awad Abdellatif; Lutfi Samara; Amr Mohamed 001; Aiman Erbad; Carla-Fabiana Chiasserini; Mohsen Guizani; Mark Dennis O'Connor; James Laughton (IEEE Internet Things J., 2021)

I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning. - Mhd Saria Allahham; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Elias Yaacoub; Mohsen Guizani (IEEE Internet Things J., 2021)

Hierarchical Security Paradigm for IoT Multiaccess Edge Computing. - Jaspreet Singh; Yahuza Bello; Ahmed Refaey Hussein; Aiman Erbad; Amr Mohamed 001 (IEEE Internet Things J., 2021)

Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation. - Sahil Garg; Gagangeet Singh Aujla; Aiman Erbad; Joel J. P. C. Rodrigues; Min Chen 003; Xianbin Wang 001 (IEEE Netw., 2021)

A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance. - Zina Chkirbene; Aiman Erbad; Ridha Hamila; Ala Gouissem; Amr Mohamed 001; Mohsen Guizani; Mounir Hamdi (IEEE Syst. J., 2021)

Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles. - Alaa Awad Abdellatif; Carla-Fabiana Chiasserini; Francesco Malandrino; Amr Mohamed 001; Aiman Erbad (IEEE Trans. Veh. Technol., 2021)

FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Abdullatif Albaseer; Aiman Erbad; Mohamed Abdallah 001; Mohsen Guizani (GLOBECOM, 2022)

On the Modeling of Reliability in Extreme Edge Computing Systems. - Mhd Saria Allahham; Amr Mohamed 001; Aiman Erbad; Hossam S. Hassanein (ICCSPA, 2022)

Leveraging Semi-Connected Devices To Enhance Federated Learning. - Hend Gedawy; Khaled A. Harras; Aiman Erbad (ICCSPA, 2022)

Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning. - Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IWCMC, 2022)

Region of Interest Optimization for Delay-sensitive Telemedicine Applications. - Somayya Elmoghazy; Elias Yaacoub; Nikhil V. Navkar; Amr Mohamed 001; Aiman Erbad (IWCMC, 2022)

RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning. - Hassan Saadat; Mhd Saria Allahham; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001 (IWCMC, 2022)

Secure Medical Data Sharing For Healthcare System. - Zina Chkirbene; Ridha Hamila; Aiman Erbad (PIMRC, 2022)

Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design. - Ilyes Mrad; Lutfi Samara; Abubakr O. Al-Abbasi; Ridha Hamila; Aiman Erbad; Serkan Kiranyaz (PIMRC, 2022)

Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks. - Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (WCNC, 2022)

PLS Performance Analysis of a Hybrid NOMA-OMA based IoT System with Mobile Sensors. - Hela Chamkhia; Aiman Erbad; Abdulla K. Al-Ali; Amr Mohamed 001; Ahmed Refaey; Mohsen Guizani (WCNC, 2022)

Dynamic LoRa Wireless Networks Powered by Hybrid Energy. - Rami Hamdi; Emna Baccour; Aiman Erbad; Marwa K. Qaraqe; Mounir Hamdi (WCNC, 2022)

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT. - Amr Abo-eleneen; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad (WTS, 2022)

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges. - Muhammad Asif Khan 001; Emna Baccour; Zina Chkirbene; Aiman Erbad; Ridha Hamila; Mounir Hamdi; Moncef Gabbouj (IEEE Access, 2022)

FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning. - Aliya Tabassum; Aiman Erbad; Wadha Lebda; Amr Mohamed 001; Mohsen Guizani (Comput. Commun., 2022)

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence. - Emna Baccour; Naram Mhaisen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Commun. Surv. Tutorials, 2022)

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. - Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani; Zaher Dawy; Wassim Nasreddine (Future Gener. Comput. Syst., 2022)

Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things. - Abderrazak Abdaoui; Aiman Erbad; Abdulla Khalid Al-Ali; Amr Mohamed 001; Mohsen Guizani (IEEE Internet Things J., 2022)

Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms. - Abdullatif Albaseer; Mohamed Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad; Octavia A. Dobre (IEEE Internet Things J., 2022)

3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems. - Hela Chamkhia; Aiman Erbad; Abdulla Khalid Al-Ali; Amr Mohamed 001; Ahmed Refaey; Mohsen Guizani (IEEE Internet Things J., 2022)

LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks. - Rami Hamdi; Emna Baccour; Aiman Erbad; Marwa K. Qaraqe; Mounir Hamdi (IEEE Internet Things J., 2022)

Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization. - Mohammed Jouhari; Abdulla Khalid Al-Ali; Emna Baccour; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani; Mounir Hamdi (IEEE Internet Things J., 2022)

On Leveraging FemtoClouds for Federated Learning. - Hend Gedawy; Khaled A. Harras; Aiman Erbad (IEEE Internet Things Mag., 2022)

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution. - Kashif Bilal; Junaid Shuja; Aiman Erbad; Waleed Alasmary; Eisa Alanazi; Abdullah Alourani (Sensors, 2022)

An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment. - Emna Baccour; Fatima Haouari; Aiman Erbad; Amr Mohamed 001; Kashif Bilal; Mohsen Guizani; Mounir Hamdi (IEEE Syst. J., 2022)

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. - Mhd Saria Allahham; Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Cogn. Commun. Netw., 2022)

Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Netw. Sci. Eng., 2022)

RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling. - Lamiaa Basyoni; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems. - Zina Chkirbene; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints. - Naram Mhaisen; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems. - Naram Mhaisen; Mhd Saria Allahham; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

EEG Data for Patients Receiving Intravenous Antibiotic Medication. - Alaa Awad Abdellatif; Zina Chkirbene; Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad; Mark Dennis O'Connor; James Laughton; Anthony Villacorte; Johansen Menez (IEEE DataPort, 2022)

Intentions Matter: The Role of Purpose in Excessive Social Media Usage and Smartphone Addiction. - Amal Awadalla Ali; Areej Babiker; Aiman Erbad; Raian Ali (BESC, 2023)

Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms. - Marwan Dhuheir; Aiman Erbad; Ala I. Al-Fuqaha (GLOBECOM, 2023)

Hierarchical DRL-empowered Network Slicing in Space-Air-Ground Networks. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Aiman Erbad; Carla-Fabiana Chiasserini (GLOBECOM, 2023)

Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems. - Alaa Awad Abdellatif; Mhd Saria Allahham; Noor Khial; Amr Mohamed 001; Aiman Erbad; Khaled B. Shaban (ICC, 2023)

Dynamic Pruning for Distributed Inference via Explainable AI: A Healthcare Use Case. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (ICC, 2023)

Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks. - Abegaz Mohammed Seid; Aiman Erbad (ICC, 2023)

Intelligent DRL-Based Adaptive Region of Interest for Delay-Sensitive Telemedicine Applications. - Abdulrahman Soliman; Amr Mohamed 001; Elias Yaacoub; Nikhil V. Navkar; Aiman Erbad (ICC, 2023)

RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming. - Ilyes Mrad; Emna Baccour; Ridha Hamila; Muhammad Asif Khan 001; Aiman Erbad; Mounir Hamdi (ISCC, 2023)

Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image Datasets. - Khalid Mahmoud Mohammad Dolaat; Aiman Erbad; Muhammad Ibrar (ISNCC, 2023)

A Hybrid Approach for Food Name Recognition in Restaurant Reviews. - Ali Haider; Sana Saeed; Kashif Bilal; Aiman Erbad (ISNCC, 2023)

A Novel Optimal Wireless Thermal Sensor Placement Approach for Large Commercial Buildings. - Mahdi Houchati; Aymen Omri; Hussam Kanaan; Aiman Erbad; Muhammad Ibrar; Juan M. Corchado; Sergio Márquez Sánchez (ISNCC, 2023)

Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive Study. - Hela Marouane; Abdulhalim Dandoush; Lamine Amour; Aiman Erbad (ISNCC, 2023)

Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks. - Samra Zafar; Muhammad Ibrar; Aiman Erbad; Bakhtawar Zafar; Nizam Hussain Zaydi; Xiaopeng Hu 001 (ISNCC, 2023)

Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory. - Zina Chkirbene; Ridha Hamila; Aiman Erbad (IWCMC, 2023)

REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings. - Muhammad Ibrar; Aiman Erbad; Mohammed Abegaz; Aamir Akbar; Mahdi Houchati; Juan M. Corchado (IWCMC, 2023)

Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems. - Fazeela Mazhar Khan; Emna Baccour; Aiman Erbad; Mounir Hamdi (IWCMC, 2023)

BC-FL Location-Based Disease Detection in Healthcare IoT. - Ali Riahi; Amr Mohamed 001; Aiman Erbad (IWCMC, 2023)

HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Aiman Erbad; Mohsen Guizani (IWCMC, 2023)

LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms. - Marwan Dhuheir; Aiman Erbad; Sinan Sabeeh (WCNC, 2023)

AI-based UAV navigation framework with digital twin technology for mobile target visitation. - Abdulrahman Soliman; Abdulla K. Al-Ali; Amr Mohamed 001; Hend Gedawy; Daniel Izham; Mohamad Bahri; Aiman Erbad; Mohsen Guizani (Eng. Appl. Artif. Intell., 2023)

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues. - Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani (IEEE Internet Things J., 2023)

Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms. - Marwan Dhuheir; Emna Baccour; Aiman Erbad; Sinan Sabeeh Al-Obaidi; Mounir Hamdi (IEEE Internet Things J., 2023)

Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks. - Abegaz Mohammed Seid; Aiman Erbad; Hayla Nahom Abishu; Abdullatif Albaseer; Mohamed Abdallah 001; Mohsen Guizani (IEEE Internet Things J., 2023)

Video transcoding at the edge: cost and feasibility perspective. - Syed Muhammad Ammar Hassan Bukhari; Kashif Bilal; Aiman Erbad; Amr Mohamed 001; Mohsen Guizani (Clust. Comput., 2023)

Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks. - Emna Baccour; Mhd Saria Allahham; Aiman Erbad; Amr Mohamed 001; Ahmed Refaey Hussein; Mounir Hamdi (IEEE Commun. Mag., 2023)

Joint learning and optimization for Federated Learning in NOMA-based networks. - Ilyes Mrad; Ridha Hamila; Aiman Erbad; Moncef Gabbouj (Pervasive Mob. Comput., 2023)

Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance. - Muhammad Asif Khan 001; Ridha Hamila; Aiman Erbad; Moncef Gabbouj (IEEE Syst. J., 2023)

Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach. - Mohammed Seid Abegaz; Hayla Nahom Abishu; Yasin Habtamu Yacob; Tewodros Alemu Ayall; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2023)

An Efficient Hierarchical Mobile IPv6 Group-Based BU Scheme for Mobile Nodes in IoT Network. - Afshan Ahmed; Sohail Jabbar; Muhammad Munwar Iqbal; Muhammad Ibrar; Aiman Erbad; Houbing Song (IEEE Internet Things J., 2023)

D2DLive: Iterative live video streaming algorithm for D2D networks. - Zina Chkirbene; Ridha Hamila; Aiman Erbad; Serkan Kiranyaz; Nasser Al-Emadi (Comput. Networks, 2023)

Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks. - Alaa Awad Abdellatif; Amr Abo-eleneen; Amr Mohamed 001; Aiman Erbad; Nikhil V. Navkar; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2023)

Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Abegaz Mohammed Seid; Aiman Erbad; Octavia A. Dobre (IEEE Trans. Netw. Serv. Manag., 2023)

RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC). - Ali Riahi; Amr Mohamed 001; Aiman Erbad (IEEE Trans. Netw. Serv. Manag., 2023)

To transcode or not? A machine learning based edge video caching and transcoding strategy. - Syed Muhammad Ammar Hassan Bukhari; Emna Baccour; Kashif Bilal; Junaid Shuja; Aiman Erbad; Muhammad Bilal 003 (Comput. Electr. Eng., 2023)

SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts. - Isra Mohamed Ali; Noureddine Lasla; Mohamed M. Abdallah 001; Aiman Erbad (J. Netw. Comput. Appl., 2023)

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach. - Abegaz Mohammed Seid; Aiman Erbad; Hayla Nahom Abishu; Abdullatif Albaseer; Mohamed M. Abdallah 001; Mohsen Guizani (IEEE Trans. Cogn. Commun. Netw., 2023)

CODE: Computation Offloading in D2D-Edge System for Video Streaming. - Muhammad Asif Khan 001; Emna Baccour; Aiman Erbad; Ridha Hamila; Mounir Hamdi (IEEE Syst. J., 2023)

Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning. - Abdullatif Albaseer; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer. - Rami Hamdi; Ahmed Ben Said; Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Internet Things J., 2023)

Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning. - Maregu Assefa; Wei Jiang 016; Kumie Alemu Gedamu; Getinet Yilma; Deepak Adhikari; Melese Ayalew; Abegaz Mohammed Seid; Aiman Erbad (IEEE Trans. Circuits Syst. Video Technol., 2023)

Blockchain-Enabled land management systems. - Laila Junaid; Kashif Bilal; Osman Khalid; Aiman Erbad (Telecommun. Syst., 2023)

PBCLR: Prediction-based control-plane load reduction in a software-defined IoT network. - Samra Zafar; Bakhtawar Zafar; Xiaopeng Hu 001; Nizam Hussain Zaydi; Muhammad Ibrar; Aiman Erbad (Internet Things, 2023)

Toward Delay-Conscious Federated Learning: A Systems Perspective. - Hend Gedawy; Khaled A. Harras; Aiman Erbad (IEEE Internet Things Mag., 2023)

Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review. - Afshan Ahmed; Muhammad Munwar Iqbal; Sohail Jabbar; Muhammad Ibrar; Aiman Erbad; Houbing Song (IEEE Trans. Intell. Transp. Syst., 2023)

Decentralized Autonomous Organizations (DAOs) Adoption for Smart City Governance. - Aiman Erbad (BLOCKCHAIN, 2024)

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation. - Amr Abo-eleneen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001 (CCNC, 2024)

Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems. - Noor Khial; Alaa Awad Abdellatif; Amr Mohamed 001; Aiman Erbad; Carla-Fabiana Chiasserini (CCNC, 2024)

An Explainable AI-Based Demand Response Optimization Framework for Smart Buildings. - Muhammad Ibrar; Hayla Nahom Abishu; Abegaz Mohammed Seid; Sergio Márquez Sánchez; Javier Hernandez Fernandez; Juan Manuel Corchado; Aiman Erbad (DCAI (1), 2024)

On the Detection of Replay Authentication Attacks Through Channel State Information Analysis. - Nora Basha; Bechir Hamdaoui; Aiman Erbad; Mohsen Guizani (GLOBECOM, 2024)

Coalitional Game-guided Reinforcement Learning for P2P Resource Trading in Sliced IIoT Networks. - Gordon Owusu Boateng; Aiman Erbad; Abegaz Mohammed Seid; Mounir Hamdi; Xiansheng Guo; Mohsen Guizani (GLOBECOM, 2024)

Resource Allocation and QoE Maximization in Aerial MEC-empowered Metaverse Service: A CCM-Multi-agent DRL approach. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Gordon Owusu Boateng; Aiman Erbad; Mounir Hamdi; Mohsen Guizani (GLOBECOM, 2024)

Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems Using DRL and PSO. - Marwan Dhuheir; Aiman Erbad; Ala I. Al-Fuqaha; Mohsen Guizani (ICC, 2024)

Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. - Hassan Saadat; Abdullatif Albaseer; Mohamed Abdallah 001; Amr Mohamed 001; Aiman Erbad (ICC, 2024)

MFSC: A Federated Learning and Semantic Communication Framework for Efficient Digital Twin Creation in Metaverse. - Esmail Almosharea; Emna Baccour; Aiman Erbad; Mounir Hamdi (iMETA, 2024)

Optimizing Building Energy Management Leveraging Adaptive Edge Computing for Enhanced Efficiency and Occupant Well-Being. - Sergio Márquez Sánchez; Sergio Alonso-Rollán; Hayla Nahom Abishu; Aiman Erbad; Javier Hernandez Fernandez (ISAmI, 2024)

Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes. - Hayla Nahom Abishu; Abegaz Mohammed Seid; Sergio Márquez Sánchez; Javier Hernandez Fernandez; Juan Manuel Corchado; Aiman Erbad (IWCMC, 2024)

Real-time Emergency Message Dissemination in IoV: A Cluster-based Approach with SDN and Fog Computing. - Afshan Ahmed; Muhammad Ibrar; Muhammad Munwar Iqbal; Aiman Erbad; Sohail Jabbar (IWCMC, 2024)

LRS2: Improved Link Recovery in Software-Defined Networks with Stacked Generalization Ensemble. - Muhammad Ibrar; Aamir Akbar; Nadir Shah; Aiman Erbad; Kamran Ali (IWCMC, 2024)

Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems. - Muhammad Ibrar; Hayla Nahom Abishu; Abegaz Mohammed Seid; Sergio Márquez Sánchez; Javier Hernandez Fernandez; Juan Manuel Corchado; Aiman Erbad (IWCMC, 2024)

RL-Based Incentive Cooperative Data Learning Framework Over Blockchain in Healthcare Applications (RL-ICDL-BC). - Ali Riahi; Aiman Erbad; Abdelaziz Bouras; Amr Mohamed 001 (IWCMC, 2024)

Reinforcement Learning-based anti-Jamming Solution for Aerial RIS-aided Dense Dynamic Multi-User Environments. - Zain Ul Abideen Tariq; Emna Baccour; Aiman Erbad; Mounir Hamdi (IWCMC, 2024)

Energy Efficient Delay-Aware Design for MEC-enabled DT-Assisted Air-Ground Network. - Muhammet Hevesli; Abegaz Mohammed Seid; Aiman Erbad; Mohamed M. Abdallah 001 (PIMRC, 2024)

Game-Theoretic Federated Meta-learning for Blockchain-Assisted Metaverse. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (WCNC, 2024)

The Impact of Personality Traits and Need for Cognition on Cybersecurity Behavior: A Study Across Arab and European Samples. - Eiman A. Al-Hamad; Sameha Alshakhsi; Areej Babiker; Aiman Erbad; Raian Ali (WISE (3), 2024)

Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism. - Eiman A. Al-Hamad; Aiman Erbad; Raian Ali (WISE (3), 2024)

RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments. - Zain Ul Abideen Tariq; Emna Baccour; Aiman Erbad; Mounir Hamdi; Mohsen Guizani (IEEE Access, 2024)

A Survey and Comparison of Post-Quantum and Quantum Blockchains. - Zebo Yang; Haneen Alfauri; Behrooz Farkiani; Raj Jain; Roberto Di Pietro; Aiman Erbad (IEEE Commun. Surv. Tutorials, 2024)

Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services. - Menna Helmy; Alaa Awad Abdellatif; Naram Mhaisen; Amr Mohamed 001; Aiman Erbad (CoRR, 2024)

Learn to Slice, Slice to Learn: Unveiling Online Optimization and Reinforcement Learning for Slicing AI Services. - Amr Abo-eleneen; Menna Helmy; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohamed 001; Mohamed M. Abdallah 001 (CoRR, 2024)

Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (Future Gener. Comput. Syst., 2024)

ODL: Opportunistic Distributed Learning for Intelligent IoT Systems. - Alaa Awad Abdellatif; Noor Khial; Helmy M. El Zoghby; Amr Mohamed 001; Aiman Erbad; Khaled B. Shaban (IEEE Internet Things Mag., 2024)

Optimized blockchain-based healthcare framework empowered by mixed multi-agent reinforcement learning. - Abeer Z. Al-Marridi; Amr Mohamed 001; Aiman Erbad (J. Netw. Comput. Appl., 2024)

Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (J. Netw. Comput. Appl., 2024)

ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework. - Amr E. Aboeleneen; Alaa Awad Abdellatif; Aiman Erbad; Amr Mohammad 001 (IEEE Open J. Commun. Soc., 2024)

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas. - Marwan Dhuheir; Aiman Erbad; Ala I. Al-Fuqaha; Abegaz Mohammed Seid (IEEE Open J. Commun. Soc., 2024)

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers. - Zain Ul Abideen Tariq; Emna Baccour; Aiman Erbad; Mounir Hamdi (IEEE Open J. Commun. Soc., 2024)

Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT System. - Hela Chamkhia; Aiman Erbad; Amr Mohamed 001; Ahmed Refaey Hussein; Abdulla Khalid Al-Ali; Mohsen Guizani (IEEE Internet Things J., 2024)

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems. - Ali Ghubaish; Zebo Yang; Aiman Erbad; Raj Jain (IEEE Internet Things J., 2024)

A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Internet Things J., 2024)

Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning. - Abdullatif Albaseer; Abegaz Mohammed Seid; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Aiman Erbad (IEEE Trans. Green Commun. Netw., 2024)

Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks. - Mesfin Leranso Betalo; Supeng Leng; Hayla Nahom Abishu; Fayaz Ali Dharejo; Abegaz Mohammed Seid; Aiman Erbad; Rizwan Ali Naqvi; Longyu Zhou; Mohsen Guizani (IEEE Trans. Veh. Technol., 2024)

ASMCC+: A Secure Authentication Scheme for Mobile Cloud Computing Environment Based on Zero Trust Architecture. - Md Jakir Hossain; Abegaz Mohammed Seid; Hayla Nahom Abishu; Fayaz Ali Dharejo; Rutvij H. Jhaveri; Aiman Erbad; Moath Alathbah (IEEE Trans. Consumer Electron., 2024)

Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices. - Jianfeng Lu 002; Yuhang Sheng; Shuqin Cao; Said Elnaffar; Malik Muhammad Saad 001; Abegaz Mohammed Seid; Aiman Erbad (IEEE Trans. Consumer Electron., 2024)

A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning. - Usman Ahmad; Mu Han; Alireza Jolfaei; Sohail Jabbar; Muhammad Ibrar; Aiman Erbad; Houbing Herbert Song; Yazeed Alkhrijah (IEEE Trans. Intell. Transp. Syst., 2024)

Task Offloading Optimization in Digital Twin Assisted MEC-Enabled Air-Ground IIoT 6G Networks. - Muhammet Hevesli; Abegaz Mohammed Seid; Aiman Erbad; Mohamed M. Abdallah 001 (IEEE Trans. Veh. Technol., 2024)

Multi-Agent DRL-Based Energy Harvesting for Freshness of Data in UAV-Assisted Wireless Sensor Networks. - Mesfin Leranso Betalo; Supeng Leng; Hayla Nahom Abishu; Abegaz Mohammed Seid; Maged Fakirah; Aiman Erbad; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2024)

Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity. - Abdul Hannaan; Zubair Shah; Aiman Erbad; Amr Mohamed 001; Ali Safa (IWCMC, 2025)

Quishing Attack Detection and Mitigation Using Machine Learning and Deep Learning for Malicious URL Identification. - Ahmad Tayachi; Bassem Ouni; Azzam Mourad; Aiman Erbad (IWCMC, 2025)

Active Prompt Caching in Edge Networks for Generative AI and LLMs: An RL-Based Approach. - Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (WCNC, 2025)

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms. - Marwan Dhuheir; Aiman Erbad; Bechir Hamdaoui; Samir Brahim Belhaouari; Mohsen Guizani; Thang X. Vu (IEEE Access, 2025)

Physical layer security in satellite communication: State-of-the-art and open problems. - Nora Abdelsalam; Saif M. Al-Kuwari; Aiman Erbad (IET Commun., 2025)

Dynamic Charging and Path Planning for UAV-Powered Rechargeable WSNs Using Multi-Agent Deep Reinforcement Learning. - Mesfin Leranso Betalo; Supeng Leng; Abegaz Mohammed Seid; Hayla Nahom Abishu; Aiman Erbad; Xiaoshan Bai (IEEE Trans Autom. Sci. Eng., 2025)

Layer-Wise Security Framework and Analysis for the Quantum Internet. - Zebo Yang; Ali Ghubaish; Raj Jain; Ala I. Al-Fuqaha; Aiman Erbad; Ramana Kompella; Hassan Shapourian; Reza Nejabati (CoRR, 2025)

A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse. - Hayla Nahom Abishu; Abegaz Mohammed Seid; Aiman Erbad; Tilahun Melkamu Getu; Ala I. Al-Fuqaha; Mohsen Guizani (CoRR, 2025)

PACE: Reputation-Driven Hierarchical Incentive Mechanism for Trusted Healthcare Transactions in Model Marketplace. - Jianfeng Lu 002; Xiaochi Dou; Bharati Rathore; Rutvij H. Jhaveri; Abegaz Mohammed Seid; Aiman Erbad (IEEE Trans. Consumer Electron., 2025)

Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks. - Muhammet Hevesli; Abegaz Mohammed Seid; Aiman Erbad; Mohamed M. Abdallah 001 (CoRR, 2025)

Blockchain-Empowered Multi-Domain Resource Trading in TN-NTN 6G Networks: A Hierarchical Multi-Agent DRL Approach. - Abegaz Mohammed Seid; Hayla Nahom Abishu; Rajkumar Singh Rathore; Aiman Erbad; Rutvij H. Jhaveri; Jianfeng Lu 002 (IEEE Trans. Consumer Electron., 2025)

A Novel Monte-Carlo Compressed Sensing and Dictionary Learning Method for the Efficient Path Planning of Remote Sensing Robots. - Alghalya Al-Hajri; Ejmen Al-Ubejdij; Aiman Erbad; Ali Safa (CoRR, 2025)

Multiagent DRL-Based Demand Response Optimization for IoT-Based Smart Home Energy Management Systems. - Hayla Nahom Abishu; Abegaz Mohammed Seid; Aiman Erbad; Sergio Márquez Sánchez; Javier Hernandez Fernandez; Juan Manuel Corchado (IEEE Internet Things J., 2025)