Fakhouri, H. N., Alawadi, S., Awaysheh, F. M., Hani, I. B., Alkhalaileh, M., & Hamad, F. (2023). A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions. Electronics, 12(22), 4604.
Fakhouri, H. N., Alawadi, S., Awaysheh, F. M., & Hamad, F. (2023). Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. Cluster Computing, 1-23.
Fakhouri, H. N., Alawadi, S., Awaysheh, F. M., Hamad, F., Alzubi, S., & AlAdwan, M. N. (2023, September). An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 42-51). IEEE.
Yenduri, G., Reddy, D., Srivastava, G., Supriya, Y., Ramalingam, M., Gadekallu, T. R., & Awaysheh, F. M. (2023, September). Federated Learning for the Metaverse: A Short Survey. In 2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA) (pp. 1-10). IEEE.
Awaysheh, F. M., Tommasini, R., & Awad, A. (2023, July). Big Data Analytics from the Rich Cloud to the Frugal Edge. In 2023 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 319-329). IEEE.
Alawadi, S., Alkharabsheh, K., Alkhabbas, F., Kebande, V., Awaysheh, F. M., & Palomba, F. (2023). FedCSD: A Federated Learning Based Approach for Code-Smell Detection. arXiv preprint arXiv:2306.00038.
Caderno, P. V., Awaysheh, F. M., Colino-Sanguino, Y., De La Fuente, L. R., Valdes-Mora, F., Cabaleiro, J. C., … & Gallego-Ortega, D. (2023, May). OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency. In 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (pp. 160-167). IEEE.
Alzubi, S., & Awaysheh, F. M. (2022, December). EdgeFNF: Toward Real-time Fake News Detection on Mobile Edge Computing. In 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 1-3). IEEE.
Awaysheh, F. M., Alawadi, S., & AlZubi, S. (2022, December). FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. In 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 1-6). IEEE.
Abbasi, A., Abdalkareem, R., Abdullah, A., Abhari, K., Abootalebi, S., Acuner, E., … & Bagno, R. B. (2022). 2022 Index IEEE Transactions on Engineering Management Vol. 69. IEEE Transactions on Engineering Management, 69(6).
Alkhabbas, F., Alsadi, M., Alawadi, S., Awaysheh, F. M., Kebande, V. R., & Moghaddam, M. T. (2022). Assert: A blockchain-based architectural approach for engineering secure self-adaptive iot systems. Sensors, 22(18), 6842.
Awaysheh, F. M. (2022). From the Cloud to the Edge Towards a Distributed and Light Weight Secure Big Data Pipelines for IoT Applications. In Trust, Security and Privacy for Big Data (pp. 50-68). CRC Press.
Filgueira, R., Awaysheh, F. M., Carter, A., White, D. J., & Rana, O. (2022, May). SparkFlow: Towards high-performance data analytics for spark-based genome analysis. In 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 1007-1016). IEEE.
Ibrahim, M., Alsheikh, A., Awaysheh, F. M., & Alshehri, M. D. (2022). Machine learning schemes for anomaly detection in solar power plants. Energies, 15(3), 1082.
Ibrahim, M., Alsheikh, A., Awaysheh, F. M., & Alshehri, M. D. (2022). Solar Power Plants Anomaly Detection Using Machine Learning. Energies, 15, 1082.
Ragab, M., Awaysheh, F. M., & Tommasini, R. (2021, December). Bench-ranking: a first step towards prescriptive performance analyses for big data frameworks. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 241-251). IEEE.
Al-Zubi, S., Awaysheh, F. M., & Al-Shboul, B. A. (2021, November). Arabic Question Answering System for Information Retrieval on Large-scale Image Objects. In 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA) (pp. 162-170). IEEE.
Kebande, V. R., Ikuesan, R. A., Awaysheh, F. M., & Alawadi, S. (2021, November). Towards a learning-enabled virtual sensor forensic architecture compliant with edge intelligence. In 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA) (pp. 154-161). IEEE.
Kebande, V. R., Awaysheh, F. M., Ikuesan, R. A., Alawadi, S. A., & Alshehri, M. D. (2021). A blockchain-based multi-factor authentication model for a cloud-enabled internet of vehicles. Sensors, 21(18), 6018.
Awaysheh, F. M., Alazab, M., Garg, S., Niyato, D., & Verikoukis, C. (2021). Big data resource management & networks: Taxonomy, survey, and future directions. IEEE Communications Surveys & Tutorials, 23(4), 2098-2130.
Kebande, V. R., Alawadi, S., Awaysheh, F. M., & Persson, J. A. (2021). Active machine learning adversarial attack detection in the user feedback process. IEEE Access, 9, 36908-36923.
Awaysheh, F. M., Aladwan, M. N., Alazab, M., Alawadi, S., Cabaleiro, J. C., & Pena, T. F. (2021). Security by design for big data frameworks over cloud computing. IEEE Transactions on Engineering Management, 69(6), 3676-3693.
Ragab, M., Tommasini, R., Awaysheh, F. M., & Ramos, J. C. (2021). An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL. In DOLAP (pp. 71-80).
Gheisari, M., Abbasi, A. A., Sayari, Z., Rizvi, Q., Asheralieva, A., Banu, S., … & Raza, K. A. (2020, December). A survey on clustering algorithms in wireless sensor networks: challenges, research, and trends. In 2020 International Computer Symposium (ICS) (pp. 294-299). IEEE.
Gupta, M., Awaysheh, F. M., Benson, J., Alazab, M., Patwa, F., & Sandhu, R. (2020). An attribute-based access control for cloud enabled industrial smart vehicles. IEEE Transactions on Industrial Informatics, 17(6), 4288-4297.
Awaysheh, F. M., Alazab, M., Gupta, M., Pena, T. F., & Cabaleiro, J. C. (2020). Next-generation big data federation access control: A reference model. Future Generation Computer Systems, 108, 726-741.
Aladwan, M. N., Awaysheh, F. M., Alawadi, S., Alazab, M., Pena, T. F., & Cabaleiro, J. C. (2020). TrustE-VC: Trustworthy evaluation framework for industrial connected vehicles in the cloud. IEEE transactions on industrial informatics, 16(9), 6203-6213.
Awaysheh, F. M. N. (2020). Big Data and Large-scale Data Analytics: Efficiency of Sustainable Scalability and Security of Centralized Clouds and Edge Deployment Architectures (Doctoral dissertation, Universidade de Santiago de Compostela).
Awaysheh, F., Cabaleiro, J. C., Pena, T. F., & Alazab, M. (2019, August). Big data security frameworks meet the intelligent transportation systems trust challenges. In 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 807-813). IEEE.
Aladwan, M., Awaysheh, F., Cabaleiro, J., Pena, T., Alabool, H., & Alazab, M. (2019, August). Common security criteria for vehicular clouds and internet of vehicles evaluation and selection. In 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 814-820). IEEE.
Awaysheh, F. M., Cabaleiro, J. C., Pena, T. F., & Alazab, M. (2019, May). Poster: A pluggable authentication module for big data federation architecture. In Proceedings of the 24th ACM Symposium on Access Control Models and Technologies (pp. 223-225).
Awaysheh, F. M., Pena, T. F., & Cabaleiro, J. C. (2017, April). EME: An automated, elastic and efficient prototype for provisioning hadoop clusters on-demand. In International Conference on Cloud Computing and Services Science (Vol. 2, pp. 737-742). SCITEPRESS.
Dustdar, T. U., & Awaysheh, F. The Conferences offered an opportunity to showcase the latest advances in this area and discuss and identify future directions and challenges in FMEC and FL systems. They also provide ample opportunities for networking, sharing knowledge, and collaborating with others in the metaverse community.
CHAIRS, H. General Co-Chairs.
Al Badi, M., Hamed, A., Al Balushi, M., Yaqoob, M., Al Harthi, M., Salim, A., … & Bouachir, O. Cao, Jiannong 78 Cao, Yinfeng 78 Chu, Kuang-Kai 223 Cristofoletti, Miriam 86 Culbertson, Heather 150.
Awaysheh, F. M., Kobusińska, A., Dustdar, S., Wien, T. U., Roveri, M., Saad, W., … & Tsapatsoulis, N. iEDGE 2023 Committees.
Awaysheh, F. M. IEEE iEDGE SYMPOSIUM ON INTELLIGENT EDGE COMPUTING AND COMMUNICATIONS Message from Feras M. Awaysheh and Anna Kobusińska, iEdge Symposium Chairs.
Abdou, M., Abel, F., Agbaje, P., Ahmed, T., Aiello, M., Albano, M., … & Govori, E. 2023 IEEE International Conference on Edge Computing and Communications (EDGE)| 979-8-3503-0483-1/23/$31.00© 2023 IEEE| DOI: 10.1109/EDGE60047. 2023.00064. Pan, 51, 118.
Jararweh, Y., Awaysheh, F. M., Jarrah, M., Nikiforova, A., Alawadi, S., Domínguez, J. C. C., … & Viqueira, J. R. 3rd Workshop on advances in Data Systems Management, Engineering, and Analytics (Megadata).
Abdullah, F., Adhikari, M., Ahmad, S., Al-Hawawreh, M., Ali, K., Alotaibi, F. M., … & Gharote, M. B. Rawat, Danda 26 Buzmakov, Aleksey 249 Byna, Suren 340 Cabaleiro, José C. 160.
Abie, B., Ahmed, M., Akram, R. N., Al-Asadi, H. A. A., Alazab, M., Alhanahnah, M., … & Cheng, B. TrustCom 2021.
Xiao, Y., Liu, J., Wu, J., Ansari, N., Awaysheh, F. M., Alazab, M., … & Verikoukis, C. FOURTH QUARTER 2021 VOLUME 23 NUMBER 4 ICSTCF (ISSN 1553-877X).
Alsmirat, M., Jararweh, Y., Awaysheh, F., & Aloqaily, M. 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA).
