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Dr.abdullah fawaz abdullah aljulayfi

Assistant Professor Department of Software Engineering College of Computer Engineering & Sciences
  • Kharj
  • 011-588-8366
  • a.aljulayfi@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • Doctor of Philosophy - PhD in computer science, Cloud, Edge, and IoT environments, Self-adaptive Systems, Resource Management, QoS, Machine Learning, School of Computing, University of Leeds, Leeds, UK (2023).

  • Master of Science (MSc), Advanced Computer Science (Cloud Computing), School of Computing, University of Leeds, Leeds, UK (2018).

  • Bachelor of Computer Science, Department of Computer Science, College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Kingdom of Saudi Arabia (2015).

Research Interests

  • Distributed Systems.
  • Cloud Computing.
  • Edge/Fog/Mist computing.
  • Internet of Things.
  • Autonomic computing/ Self-adaptive systems.
  • Resource management.
  • Quality of service.
  • Energy efficiency.
  • Artificial Intelligence and Machine Learning applications.
  • Big data systems.

Experience

  • Sep. 2023 - until now - Assistant Professor - Prince Sattam Bin Abdulaziz University, Saudi Arabia
  • Jan. 2019 - Jul. 2023 - Research Group Member - Distributed Systems and Services Research Group, University of Leeds, UK
  • 2016 - Aug. 2023 - Lecturer - Prince Sattam Bin Abdulaziz University, Saudi Arabia
  • Jan. 2019 - Dec.2019 - Teaching Assistant - University of Leeds, UK
  • Jul. 2014 - Sep. 2014 - Trainee - UCI Samueli School of Engineering, US

Publications

  • Canete, A. and Djemame, K., Amor, M., Fuentes, L., and Aljulayfi A.: A proactive energy-aware auto-scaling solution for edge-based infrastructures, In: the 15th IEEE/ACM International Conference on Utility and Cloud Computing. Vancouver, Washington, USA. (2022).
  • Aljulayfi, A.F. and Djemame, K.: Quality of Service Support Through a Self-adaptive System in Edge Computing Environments. In: Communications in Computer and Information Science. Springer. (Accepted for publication). (2022).
  • Aljulayfi, A.F. and Djemame, K.: Towards Elastic Edge Computing Environments : An Investigation of Adaptive Approaches. In: The 17th International Conference on Autonomic and Autonomous Systems. Hybrid: Valencia, Spain and Online. pp. 1–10 (2021).
  • Aljulayfi, A.F. and Djemame, K.: A Machine Learning Based Context-aware Prediction Framework for Edge Computing Environments. In: The 11th International Conference on Cloud Computing and Services Science. Online. SciTePress. pp. 143–150 (2021).
  • Aljulayfi, A.F. and Djemame, K.: A Novel QoS and Energy-aware Selfadaptive System Architecture for Efficient Resource Management in an Edge Computing Environment. In: The 35th Annual UK Performance Engineering Workshop. Leeds, UK. pp. 39–54 (2019).
  • Aljulayfi, A.F and Djemame, K.: Simulation of an augmented reality application for driverless cars in an edge computing environment. In: The fifth International Symposium on Innovation in Information and Communication Technology. Amman, Jordan. (2018).

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