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ORCIDFeras M. Awaysheh
Person information
- affiliation: Umeå University, Department of Computing Science, Umeå, Sweden
- affiliation: Tartu University, Institute of Computer Science, Tartu, Estonia
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2020 – today
- 2025
[j13]Pablo Vazquez Caderno, Feras M. Awaysheh, Jose C. Cabaleiro, Tomás F. Pena
:
BigOPERA: An OPportunistic and Elastic Resource Allocation for big data frameworks. Clust. Comput. 28(6): 383 (2025)- [j12]Mehreen Tahir, Tanjila Mawla, Feras M. Awaysheh, Sadi Alawadi, Maanak Gupta, Muhammad Intizar Ali:
SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. IEEE J. Sel. Areas Commun. 43(6): 2025-2041 (2025) - [c21]Fahed Alkhabbas, Sadi Alawadi, Hussam N. Fakhouri, Feras M. Awaysheh, Majed Ayyad, Muhammad Al-Abdullah:
Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures. FMEC 2025: 26-32 - [e4]Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio A. Ardagna, Feras M. Awaysheh, Volker Hilt, Yogesh Simmhan:
2025 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE EDGE 2025, Helsinki, Finland, July 7-12, 2025. IEEE 2025, ISBN 979-8-3315-5560-3 [contents] - [i7]Ahmed Awad, Feras M. Awaysheh, Hugo A. López:
BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing. CoRR abs/2501.14848 (2025) - [i6]Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras M. Awaysheh:
Quantum Computing as a Service - a Software Engineering Perspective. CoRR abs/2510.04982 (2025) - [i5]Carl-Johan Fauvelle Munck af Rosensch, Feras M. Awaysheh, Ahmad Awad:
Next Generation Cloud-native In-Memory Stores: From Redis to Valkey and Beyond. CoRR abs/2510.19805 (2025) - [i4]Obaidullah Zaland, Feras M. Awaysheh, Sawsan Al-Zubi, Abdul Rahman Safi, Monowar Bhuyan:
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off? CoRR abs/2511.01737 (2025) - [i3]Chaimaa Medjadji, Sadi Alawadi, Feras M. Awaysheh, Guilain Leduc, Sylvain Kubler, Yves Le Traon:
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning. CoRR abs/2511.05591 (2025) - 2024
- [j11]Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access 12: 44888-44904 (2024) - [j10]Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad:
Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. Clust. Comput. 27(3): 3717-3739 (2024) - [j9]Hussam N. Fakhouri, Feras M. Awaysheh, Sadi Alawadi, Mohannad Alkhalaileh, Faten Hamad:
Four vector intelligent metaheuristic for data optimization. Computing 106(7): 2321-2359 (2024) - [c20]Oscar Cederlund, Sadi Alawadi, Feras M. Awaysheh:
LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation. FMEC 2024: 54-62 - [e3]Maanak Gupta, Mahmoud Abdelsalam, Mir Mehedi A. Pritom, Feras M. Awaysheh:
Proceedings of the 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, SaT-CPS 2024, Porto, Portugal, 21 June 2024. ACM 2024 [contents] - [e2]Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Nimanthi L. Atukorala, Hongyue Wu, Shiqiang Wang, Shuiguang Deng, Nirmit Desai, Gopal Pingali, Javid Taheri, K. V. Subramaniam, Feras M. Awaysheh, Kaoutar El Maghaouri, Yingjie Wang:
IEEE International Conference on Edge Computing and Communications, EDGE 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6849-9 [contents] - 2023
- [c19]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:
OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency. CCGridW 2023: 160-167 - [c18]Marc Haller, Christian Lenz, Robin Nachtigall, Feras M. Awaysheh, Sadi Alawadi:
Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics. DASC/PiCom/CBDCom/CyberSciTech 2023: 762-770 - [c17]Elena Becker, Maanak Gupta, Feras M. Awaysheh:
Analyzing Edge IoT Digital Forensics Tools: Cyber Attacks Reconstruction and Anti-Forensics Enhancements. DASC/PiCom/CBDCom/CyberSciTech 2023: 991-998 - [c16]Feras M. Awaysheh, Riccardo Tommasini, Ahmed Awad:
Big Data Analytics from the Rich Cloud to the Frugal Edge. EDGE 2023: 319-329 - [c15]Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad, Sawsan Al-Zubi, Mohammad Aladwan:
An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. FMEC 2023: 42-51 - [c14]Gokul Yenduri, Dasaradharami Reddy K, Gautam Srivastava, Supriya Y, Ramalingam M, Thippa Reddy Gadekallu, Feras M. Awaysheh:
Federated Learning for the Metaverse: A Short Survey. iMETA 2023: 1-10 - [c13]Hiroki Kaminaga, Feras M. Awaysheh, Sadi Alawadi, Liina Kamm:
MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation. UCC 2023: 19 - [e1]Claudio A. Ardagna, Feras M. Awaysheh, Hongyi Bian, Carl K. Chang, Rong N. Chang, Flávia Coimbra Delicato, Nirmit Desai, Jing Fan, Geoffrey C. Fox, Andrzej Goscinski, Zhi Jin, Anna Kobusinska, Omer F. Rana:
IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-0483-1 [contents] - [i2]Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. CoRR abs/2306.00038 (2023) - 2022
- [j8]Fahed Alkhabbas, Mohammed Alsadi, Sadi Alawadi, Feras M. Awaysheh, Victor R. Kebande, Mahyar Tourchi Moghaddam:
ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. Sensors 22(18): 6842 (2022) - [j7]Feras M. Awaysheh, Mohammad Aladwan, Mamoun Alazab, Sadi Alawadi, José Carlos Cabaleiro, Tomás F. Pena:
Security by Design for Big Data Frameworks Over Cloud Computing. IEEE Trans. Engineering Management 69(6): 3676-3693 (2022) - [c12]Rosa Filgueira, Feras M. Awaysheh, Adam C. Carter, Darren J. White, Omer F. Rana:
SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis. CCGRID 2022: 1007-1016 - [c11]Sawsan Al-Zubi, Feras M. Awaysheh:
EdgeFNF: Toward Real-time Fake News Detection on Mobile Edge Computing. FMEC 2022: 1-3 - [c10]Feras M. Awaysheh, Sadi Alawadi, Sawsan Al-Zubi:
FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. FMEC 2022: 1-6 - 2021
- [j6]Victor R. Kebande, Sadi Alawadi, Feras M. Awaysheh, Jan A. Persson:
Active Machine Learning Adversarial Attack Detection in the User Feedback Process. IEEE Access 9: 36908-36923 (2021) - [j5]Feras M. Awaysheh, Mamoun Alazab, Sahil Garg, Dusit Niyato, Christos V. Verikoukis:
Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions. IEEE Commun. Surv. Tutorials 23(4): 2098-2130 (2021) - [j4]Victor R. Kebande, Feras M. Awaysheh, Richard Adeyemi Ikuesan, Sadi Alawadi, Mohammad Dahman Alshehri:
A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. Sensors 21(18): 6018 (2021) - [j3]Maanak Gupta, Feras M. Awaysheh, James O. Benson, Mamoun Alazab, Farhan Patwa, Ravi S. Sandhu:
An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles. IEEE Trans. Ind. Informatics 17(6): 4288-4297 (2021) - [c9]Mohamed Ragab, Feras M. Awaysheh, Riccardo Tommasini:
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. IEEE BigData 2021: 241-251 - [c8]Mohamed Ragab, Riccardo Tommasini, Feras M. Awaysheh, Juan Carlos Ramos:
An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL. DOLAP 2021: 71-80 - [c7]Victor R. Kebande, Richard Adeyemi Ikuesan, Feras M. Awaysheh, Sadi Alawadi:
Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence. IDSTA 2021: 154-161 - [c6]Sawsan Al-Zubi, Feras M. Awaysheh, Bashar Awad Al-Shboul:
Arabic Question Answering System for Information Retrieval on Large-scale Image Objects. IDSTA 2021: 162-170 - 2020
- [j2]Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomás F. Pena, José Carlos Cabaleiro:
Next-generation big data federation access control: A reference model. Future Gener. Comput. Syst. 108: 726-741 (2020) - [j1]Mohammad Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena, José Carlos Cabaleiro:
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. IEEE Trans. Ind. Informatics 16(9): 6203-6213 (2020) - [c5]Mehdi Gheisari, Aaqif Afzaal Abbasi, Zahra Sayari, Qasim Rizvi, Alia Asheralieva, Sabitha Banu A., Feras M. Awaysheh, Syed Bilal Hussain Shah, Khuhawar Arif Raza:
A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends. ICS 2020: 294-299
2010 – 2019
- 2019
- [c4]Feras M. Awaysheh, José Carlos Cabaleiro, Tomás F. Pena, Mamoun Alazab:
Poster: A Pluggable Authentication Module for Big Data Federation Architecture. SACMAT 2019: 223-225 - [c3]Feras M. Awaysheh, José Carlos Cabaleiro, Tomás Fernández Pena, Mamoun Alazab:
Big Data Security Frameworks Meet the Intelligent Transportation Systems Trust Challenges. TrustCom/BigDataSE 2019: 807-813 - [c2]Mohammad Aladwan, Feras M. Awaysheh, José Carlos Cabaleiro, Tomás F. Pena, Hamzeh Alabool, Mamoun Alazab:
Common Security Criteria for Vehicular Clouds and Internet of Vehicles Evaluation and Selection. TrustCom/BigDataSE 2019: 814-820 - [i1]Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomás F. Pena, José Carlos Cabaleiro:
Next-Generation Big Data Federation Access Control: A Reference Model. CoRR abs/1912.11588 (2019) - 2017
- [c1]Feras M. Awaysheh, Tomás F. Pena, José Carlos Cabaleiro:
EME: An Automated, Elastic and Efficient Prototype for Provisioning Hadoop Clusters On-demand. CLOSER 2017: 709-714
Coauthor Index
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