EME: An Automated, Elastic and Efficient Prototype for Provisioning Hadoop Clusters On-demand. - Feras M. Awaysheh; Tomás F. Pena; José Carlos Cabaleiro (CLOSER, 2017)

Poster: A Pluggable Authentication Module for Big Data Federation Architecture. - Feras M. Awaysheh; José Carlos Cabaleiro; Tomás F. Pena; Mamoun Alazab (SACMAT, 2019)

Common Security Criteria for Vehicular Clouds and Internet of Vehicles Evaluation and Selection. - Mohammad Aladwan; Feras M. Awaysheh; José Carlos Cabaleiro; Tomás F. Pena; Hamzeh Alabool; Mamoun Alazab (TrustCom/BigDataSE, 2019)

Big Data Security Frameworks Meet the Intelligent Transportation Systems Trust Challenges. - Feras M. Awaysheh; José Carlos Cabaleiro; Tomás Fernández Pena; Mamoun Alazab (TrustCom/BigDataSE, 2019)

A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends. - Mehdi Gheisari; Aaqif Afzaal Abbasi; Zahra Sayari; Qasim Rizvi; Alia Asheralieva; Sabitha Banu A.; Feras M. Awaysheh; Syed Bilal Hussain Shah; Khuhawar Arif Raza (ICS, 2020)

Next-generation big data federation access control: A reference model. - Feras M. Awaysheh; Mamoun Alazab; Maanak Gupta; Tomás F. Pena; José Carlos Cabaleiro (Future Gener. Comput. Syst., 2020)

TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. - Mohammad Aladwan; Feras M. Awaysheh; Sadi Alawadi; Mamoun Alazab; Tomás F. Pena; José Carlos Cabaleiro (IEEE Trans. Ind. Informatics, 2020)

Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. - Mohamed Ragab 001; Feras M. Awaysheh; Riccardo Tommasini 001 (IEEE BigData, 2021)

An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL. - Mohamed Ragab 001; Riccardo Tommasini 001; Feras M. Awaysheh; Juan Carlos Ramos (DOLAP, 2021)

Arabic Question Answering System for Information Retrieval on Large-scale Image Objects. - Sawsan Al-Zubi; Feras M. Awaysheh; Bashar Awad Al-Shboul (IDSTA, 2021)

Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence. - Victor R. Kebande; Richard Adeyemi Ikuesan; Feras M. Awaysheh; Sadi Alawadi (IDSTA, 2021)

Active Machine Learning Adversarial Attack Detection in the User Feedback Process. - Victor R. Kebande; Sadi Alawadi; Feras M. Awaysheh; Jan A. Persson (IEEE Access, 2021)

Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions. - Feras M. Awaysheh; Mamoun Alazab; Sahil Garg; Dusit Niyato; Christos V. Verikoukis (IEEE Commun. Surv. Tutorials, 2021)

A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. - Victor R. Kebande; Feras M. Awaysheh; Richard Adeyemi Ikuesan; Sadi Alawadi; Mohammad Dahman Alshehri (Sensors, 2021)

An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles. - Maanak Gupta; Feras M. Awaysheh; James O. Benson; Mamoun Alazab; Farhan Patwa; Ravi S. Sandhu (IEEE Trans. Ind. Informatics, 2021)

SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis. - Rosa Filgueira; Feras M. Awaysheh; Adam C. Carter; Darren J. White; Omer F. Rana (CCGRID, 2022)

EdgeFNF: Toward Real-time Fake News Detection on Mobile Edge Computing. - Sawsan Al-Zubi; Feras M. Awaysheh (FMEC, 2022)

FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. - Feras M. Awaysheh; Sadi Alawadi; Sawsan Al-Zubi (FMEC, 2022)

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. - Fahed Alkhabbas; Mohammed Alsadi 001; Sadi Alawadi; Feras M. Awaysheh; Victor R. Kebande; Mahyar Tourchi Moghaddam (Sensors, 2022)

Security by Design for Big Data Frameworks Over Cloud Computing. - Feras M. Awaysheh; Mohammad Aladwan; Mamoun Alazab; Sadi Alawadi; José Carlos Cabaleiro; Tomás F. Pena (IEEE Trans. Engineering Management, 2022)

OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency. - Pablo Vazquez Caderno; Feras M. Awaysheh; Yolanda Colino-Sanguino; Laura Rodriguez De La Fuente; Fatima Valdes-Mora; Jose C. Cabaleiro; Tomás F. Pena; David Gallego-Ortega (CCGridW, 2023)

Analyzing Edge IoT Digital Forensics Tools: Cyber Attacks Reconstruction and Anti-Forensics Enhancements. - Elena Becker; Maanak Gupta; Feras M. Awaysheh (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics. - Marc Haller; Christian Lenz; Robin Nachtigall; Feras M. Awaysheh; Sadi Alawadi (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Big Data Analytics from the Rich Cloud to the Frugal Edge. - Feras M. Awaysheh; Riccardo Tommasini 001; Ahmed Awad 001 (EDGE, 2023)

An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. - Hussam N. Fakhouri; Sadi Alawadi; Feras M. Awaysheh; Faten Hamad; Sawsan Al-Zubi; Mohammad Aladwan (FMEC, 2023)

Federated Learning for the Metaverse: A Short Survey. - Gokul Yenduri; Dasaradharami Reddy K; Gautam Srivastava 001; Supriya Y; Ramalingam M; Thippa Reddy Gadekallu; Feras M. Awaysheh (iMETA, 2023)

MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation. - Hiroki Kaminaga; Feras M. Awaysheh; Sadi Alawadi; Liina Kamm (UCC, 2023)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba (CoRR, 2023)

LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation. - Oscar Cederlund; Sadi Alawadi; Feras M. Awaysheh (FMEC, 2024)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba; Mohammed Awad (IEEE Access, 2024)

Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. - Hussam N. Fakhouri; Sadi Alawadi; Feras M. Awaysheh; Faten Hamad (Clust. Comput., 2024)

Four vector intelligent metaheuristic for data optimization. - Hussam N. Fakhouri; Feras M. Awaysheh; Sadi Alawadi; Mohannad Alkhalaileh; Faten Hamad (Computing, 2024)

Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures. - Fahed Alkhabbas; Sadi Alawadi; Hussam N. Fakhouri; Feras M. Awaysheh; Majed Ayyad; Muhammad Al-Abdullah (FMEC, 2025)

BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing. - Ahmed Awad 001; Feras M. Awaysheh; Hugo A. López 001 (CoRR, 2025)

SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. - Mehreen Tahir; Tanjila Mawla; Feras M. Awaysheh; Sadi Alawadi; Maanak Gupta; Muhammad Intizar Ali (IEEE J. Sel. Areas Commun., 2025)

BigOPERA: An OPportunistic and Elastic Resource Allocation for big data frameworks. - Pablo Vazquez Caderno; Feras M. Awaysheh; Jose C. Cabaleiro; Tomás F. Pena (Clust. Comput., 2025)