Dr Mohammed Al-Khafajiy

Email:
m.d.al-khafajiy@reading.ac.uk
Phone:
+44 (0) 118 378 6423
Job title:
Teaching Fellow

Building location

Polly Vacher

Areas 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

Al-Khafajiy, M. ORCID: 0000-0001-6561-0414 , Otoum, S. , Baker, T. , Asim, M. , Maamar, Z. , Aloqaily, M. , Taylor, M. , Randles, M. (2020) Intelligent control and security of fog resources in healthcare systems via a cognitive fog model. ACM Transactions on Internet Technology ISSN: 1533-5399 | doi: http://dx.doi.org/10.1145/3382770
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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://dx.doi.org/10.1109/DeSE.2018.00017