Dr Ahmad Ibrahim PhD

Dr Ahmad Ibrahim

Dubai Campus
Lecturer in Computer Science

Contact details

Address
University of Birmingham Dubai
Dubai International Academic City
PO Box 341799
Dubai, UAE

Ahmad Ibrahim is a Lecturer in School of Computer Science, University of Birmingham (Dubai campus).

He has published over numerous research papers in scientific journals and conferences in the field of Quality of Service (QoS) prediction, Web services, Cloud and Fog computing.

Qualifications

  • PhD in Computer Science, 2016
  • MS Computer Science, 2009
  • BSc Computer System Engineering, 2005

Teaching

  • Software Workshop I [MSc] (20 credit)
  • Software Workshop II [MSc]  (20 credit)
  • Software Engineering II [MSc] (10 credit)

Publications

Recent publications

Article

Forti, S, Ibrahim, A & Brogi, A 2019, 'Mimicking FogDirector application management', SICS Software-Intensive Cyber-Physical Systems, vol. 34, https://doi.org/10.1007/s00450-019-00403-y, pp. 151–161. https://doi.org/10.1007/s00450-019-00403-y

Brogi, A, Danelutto, M, De Sensi, D, Ibrahim, A, Soldani, J & Torquati, M 2016, 'Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications', International Journal of Parallel Programming, pp. 81-100. https://doi.org/10.1007/s10766-016-0476-8

Brogi, A, Fazzolari, M, Ibrahim, A, Soldani, J, Carrasco, J, Cubo, J, Durán, F, Pimentel, E, Di Nitto, E & D Andria, F 2015, 'Adaptive management of applications across multiple clouds: The SeaClouds Approach', CLEI electronic journal, vol. 18, no. 1, pp. 2-2.

Brogi, A, Ibrahim, A, Soldani, J, Carrasco, J, Cubo, J, Pimentel, E & D'Andria, F 2014, 'SeaClouds: a European project on seamless management of multi-cloud applications', ACM SIGSOFT Software Engineering Notes, vol. 39, no. 1, pp. 1-4. https://doi.org/10.1145/2557833.2557844

Chapter (peer-reviewed)

Brogi, A, Forti, S & Ibrahim, A 2019, Predictive analysis to support fog application deployment. in Predictive analysis to support fog application deployment. Fog and edge computing: principles and paradigms, Wiley, pp. 191-222. https://doi.org/10.1002/9781119525080.ch9

Chapter

Choi, H-J, Lee, S-H, Fahmi, SA, Ibrahim, A, Shin, H-I & Park, Y-K 2012, Towards an Integrated Personal Software Process and Team Software Process Supporting Tool. in Software Process Improvement and Management: Approaches and Tools for Practical Development. IGI Global, pp. 205-223. https://doi.org/10.4018/978-1-61350-141-2

Conference contribution

Brogi, A, Forti, S & Ibrahim, A 2019, Optimising QoS-Assurance, Resource Usage and Cost of Fog Application Deployments. in Springer, Cham. vol. 1073, Springer, Cham. https://doi.org/10.1007/978-3-030-29193-8_9

Brogi, A, Forti, S, Ibrahim, A & Rinaldi, L 2018, Bonsai in the fog: An active learning lab with fog computing. in 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC). IEEE Xplore, pp. 79-86. https://doi.org/10.1109/FMEC.2018.8364048

Brogi, A, Forti, S & Ibrahim, A 2018, Deploying fog applications: How much does it cost, by the way? in CLOSER. SciTePress, pp. 68-77. https://doi.org/10.5220/0006676100680077

Brogi, A, Forti, S & Ibrahim, A 2017, How to best deploy your Fog applications, probably. in International Conference on Edge and Fog Computing. IEEE Xplore. https://doi.org/10.1109/ICFEC.2017.8

Bartoloni, L, Brogi, A & Ibrahim, A 2015, Automated prediction of the QoS of service orchestrations: PASO at work. in Advances in Service-Oriented and Cloud Computing. Communications in Computer and Information Science edn, vol. 567, Springer, Cham, pp. 111-125. https://doi.org/10.1007/978-3-319-33313-7_8

Bartoloni, L, Brogi, A & Ibrahim, A 2014, Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach. in International Conference on Service-Oriented Computing: ICSOC 2014: Service-Oriented Computing. vol. 8831 , Springer, pp. 378-385. https://doi.org/10.1007/978-3-662-45391-9_27

Doctoral Thesis

Ibrahim, A 2016, 'Predicting Quality of Service of Software Applications', ???thesis.qualification.phd???, University of Pisa. <https://etd.adm.unipi.it/theses/available/etd-09162016-154450/>

Master's Thesis

Ibrahim, A 2009, 'A Sensor Fusion Approach to Activity Time Collection and Analysis for Supporting Personal Software Process', KAIST, Daejeon, S. Korea.

Other report

Ibrahim, A 2015, QoS prediction in service composition.

View all publications in research portal