Dr. Hassan Khan
Assistant Professor
Academic Qualifications Obtained
| 2023 | PhD (Information Technology), Multimedia University, Malaysia |
| 2013 | MSc (Software Engineering), Blekinge Tekniska Hogskola, Sweden |
Teaching Expertise
| 2024-Present | Assistant Professor, Bahrain Polytechnic, Bahrain |
| 2023-2024 | Senior Lecturer, Westminster International University in Tashkent, Uzbekistan |
| 2021-2023 | Research Fellow (www.valu3s.eu), University of Coimbra, Portugal |
| 2013-2021 | Lecturer, NFC- Institute of Engineering and Technology, Pakistan |
Research
Areas of Research Interest
- Cloud Computing (Virtualized Systems), Cloud QoS, Cloud Dependability
- Machine learning, Fuzzy Logic.
- Verification and Validation of Cloud Infrastructure.
Publications
- Khan, H. M., Cerveira, F., Cruz, T., & Madeira, H. (2023). Network failures in cloud management platforms: A study on OpenStack. In Proceedings of the 13th International Conference on Cloud Computing and Services Science (CLOSER)* (pp. 228–235). SciTePress. [https://doi.org/10.5220/0011851400003488](https://doi.org/10.5220/0011851400003488)
- Khan, H. M., Chua, F.-F., & Yap, T. T. V. (2023). A review on quality of service monitoring, violation and remediation for the cloud. Journal of System and Management Sciences, 13(5), 107–126. [https://doi.org/10.33168/JSMS.2023.0507](https://doi.org/10.33168/JSMS.2023.0507)
- Khan, H. M., Chua, F.-F., & Yap, T. T. V. (2022). ReSQoV: A scalable resource allocation model for QoS-satisfied cloud services. Future Internet, 14(5), 131. [https://doi.org/10.3390/fi14050131](https://doi.org/10.3390/fi14050131)
- Khan, H. M., Chan, G. Y., & Chua, F.-F. (2018). Resource scalability as preventive and remedial measures for cloud service violation. In IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), (pp. 428–435). IEEE. [https://doi.org/10.1109/FiCloud.2018.00068](https://doi.org/10.1109/FiCloud.2018.00068)
- Khan, H. M., Chan, G. Y., & Chua, F.-F. (2018). A fuzzy model for detecting and predicting cloud quality of service violation. Journal of Engineering Science and Technology*, Special Issue on ICCSIT 2018, 58–77.
- Khan, H. M., Chan, G. Y., & Chua, F.-F. (2016). An adaptive monitoring framework for ensuring accountability and quality of services in cloud computing. In Proceedings of the 30th International Conference on Information Networking (ICOIN), (pp. 249–253). IEEE. [https://doi.org/10.1109/ICOIN.2016.7427071](https://doi.org/10.1109/ICOIN.2016.7427071)
