Dr Mohammed Al-Khafajiy

Building location
Polly VacherAreas of interest
- Cloud/fog computing
- Cognitive computing
- Parallel and distributed computing
- Embedded systems
- Data mining in networks
- Big data analytics
- Internet of things-enabled technologies.
Teaching
- Computer Architecture and Networking
- Big Data Analytics.
Background
Dr Mohammed Al-Khafajiy is a Teaching Fellow in the Department of Computer Science at the University of Reading. He received his BSc in Software Engineering from the University of Northampton, and his MSc in Software Engineering with distinction from Liverpool John Moores University.
He had also been working as .Net developer at Pixus. Dr Al-Khafajiy has published many international peer reviewed papers in the field of cloud/fog computing and cognitive computing.
Academic qualifications
- PhD, Liverpool John Moores University, UK, 2020
- MSc, Liverpool John Moores University, UK, 2017
- BSc, University of Northampton, UK, 2016.
Professional bodies/affiliations
- Associate Fellow of Higher Education Academy (AFHEA), Higher Education Academy
- Member of Staff and Educational Development Association (SEDA), Supporting Learning Award.
Dr Al-Khafajiy is a member of many international program committees.
Websites/blogs
You can find Mohammad Al-khafajiy on:
Publications
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Maamar, Z.
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Al-Khafajiy, M.
ORCID: 0000-0001-6561-0414 , Dohan, M. (2021) An IoT application business-model on top of cloud and fog nodes. In: Barolli, L. , Woungang, I. , Enokido, T. , (eds.) Advanced Information Networking and Applications: Proceedings of the 35th International Conference of Advanced Information Networking and Applications. Lecture notes in Networks and Systems , 226. Springer , Cham, Switzerland. pp. 174-186. ISSN: 2367-3370 ISBN: 9783030750749 | doi: https://dx.doi.org/10.1007/978-3-030-75075-6_14
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Maamar, Z.
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Al-Khafajiy, M.
ORCID: 0000-0001-6561-0414 (2021) Cloud-edge coupling to mitigate execution failures. pp. 711-718. | doi: https://dx.doi.org/10.1145/3412841.3442334
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Al-Khafajiy, M.
ORCID: 0000-0001-6561-0414 , Otoum, S. , Baker, T. , Asim, M. , Maamar, Z. , Aloqaily, M. , Taylor, M. , Randles, M. (2021) Intelligent control and security of fog resources in healthcare systems via a cognitive fog model. ACM Transactions on Internet Technology , 21 (3). pp. 1-23. ISSN: 1533-5399 | doi: https://dx.doi.org/10.1145/3382770
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Al-Khafajiy, M.
ORCID: 0000-0001-6561-0414 , Baker, T. , Hussien, A. , Cotgrave, A. (2020) UAV and fog computing for IoE-based systems: a case study on environment disasters prediction and recovery plans. In: Al-Turjman, F. , (eds.) Unmanned aerial vehicles in smart cities. Unmanned system technologies Springer , Cham. pp. 133-152. ISSN: 2523-3734 ISBN: 9783030387112 | doi: https://dx.doi.org/10.1007/978-3-030-38712-9_8
- Al-Khafajiy, M. , Baker, T. , Asim, M. , Guo, Z. , Ranjan, R. , Longo, A. , Puthal, D. , Taylor, M. (2020) COMITMENT: a fog computing trust management approach. Journal of Parallel and Distributed Computing , 137 pp. 1-16. ISSN: 0743-7315 | doi: https://dx.doi.org/10.1016/j.jpdc.2019.10.006
- Al-Khafajiy, M. , Baker, T. , Waraich, A. , Alfandi, O. , Hussien, A. (2019) Enabling high performance fog computing through fog-2-fog coordination model. | doi: https://dx.doi.org/10.1109/AICCSA47632.2019.9035353
- Boukadi, K. , Faci, N. , Maamar, Z. , Ugljanin, E. , Sellami, M. , Baker, T. , Al-Khafajiy, M. (2019) Norm-based and commitment-driven agentification of the Internet of Things. Internet of Things , 6 ISSN: 2542-6605 | doi: https://dx.doi.org/10.1016/j.iot.2019.02.002
- Maamar, Z. , Baker, T. , Faci, N. , Ugljanin, E. , Al-Khafajiy, M. , Burégio, V. (2019) Towards a seamless coordination of cloud and fog: illustration through the internet-of-things. pp. 2008-2015. | doi: https://dx.doi.org/10.1145/3297280.3297477
- Al-Khafajiy, M. , Baker, T. , Chalmers, C. , Asim, M. , Kolivand, H. , Fahim, M. , Waraich, A. (2019) Remote health monitoring of elderly through wearable sensors. Multimedia Tools and Applications , 78 (17). pp. 24681-24706. ISSN: 1573-7721 | doi: https://dx.doi.org/10.1007/s11042-018-7134-7
- Al-Khafajiy, M. , Kolivand, H. , Baker, T. , Tully, D. , Waraich, A. (2019) Smart hospital emergency system via mobile-based requesting services. Multimedia Tools and Applications , 78 (14). pp. 20087-20111. ISSN: 1573-7721 | doi: https://dx.doi.org/10.1007/s11042-019-7274-4
- Maamar, Z. , Baker, T. , Faci, N. , Al-Khafajiy, M. , Ugljanin, E. , Atif, Y. , Sellami, M. (2019) Weaving cognition into the internet-of-things: application to water leaks. Cognitive Systems Research , 56 pp. 233-245. ISSN: 1389-0417 | doi: https://dx.doi.org/10.1016/j.cogsys.2019.04.001
- Al-Khafajiy, M. , Baker, T. , Al-Libawy, H. , Maamar, Z. , Aloqaily, M. , Jararweh, Y. (2019) Improving fog computing performance via Fog-2-Fog collaboration. Future Generation Computer Systems , 100 pp. 266-280. ISSN: 0167-739X | doi: https://dx.doi.org/10.1016/j.future.2019.05.015
- Al-Khafajiy, M. , Baker, T. , Waraich, A. , Al-Jumeily, D. , Hussain, A. (2018) IoT-fog optimal workload via fog offloading. pp. 359-364. | doi: https://dx.doi.org/10.1109/UCC-Companion.2018.00081
- Maamar, Z. , Baker, T. , Faci, N. , Ugljanin, E. , Atif, Y. , Al-Khafajiy, M. , Sellami, M. (2018) Cognitive computing meets the internet of things. pp. 741-746. | doi: https://dx.doi.org/10.5220/0006877507750780
- Maamar, Z. , Boukadi, K. , Ugljanin, E. , Baker, T. , Asim, M. , Al-Khafajiy, M. , Benslimane, D. , El Alaoui El Abdallaoui, H. (2018) Thing federation as a service: foundations and demonstration. pp. 184-197. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-030-00856-7_12
- Al-Khafajiy, M. , Baker, T. , Al-Libawy, H. , Waraich, A. , Chalmers, C. , Alfandi, O. (2018) Fog computing framework for internet of things applications. pp. 71-77. | doi: https://dx.doi.org/10.1109/DeSE.2018.00017