Faculty Portrait

Contact Information

Name: Abeer Abdel Khaleq, PhD

Title: Assistant Professor

Office Location: RVR 5001

Email: abeer.abdelkhaleq@csus.edu

Office Phone: 916.278.7324

Mailing Address: 6000 J street, Sacramento, CA 95819

Research Interests

  • Cloud computing and distributed systems
  • Microservices architecture
  • Data analytics and machine learning for real time systems
  • Emergent technology in humanitarian applications including disaster management and the health domain.

Courses That I Teach

Fall 2024

CSC130: Data structures and algorithms

CSC131: Software engineering

CSC190: Senior project advising

Publications

Abdel Khaleq, Abeer, et al. "The Effects of Vibrotactile Stimulation of the Upper Extremity on Sensation and Perception." bioRxiv (2024): 2024-05 Link

Khaleq, Abeer & Ra, Ilkyeun. “Intelligent microservices autoscaling module using reinforcement learning.” 2023 Cluster Computing. 1-12. 10.1007/s10586-023-03999-8.

Khaleq, Abeer Abdel, and Ilkyeun Ra. "Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud." 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, 2021.

Abdel Khaleq, A. “Design and evaluation of QoS aware intelligent autoscaling services for microservices in cloud computing environments” (Order No. 28419510). Available from Dissertations & Theses @ University of Colorado at Denver; Dissertations & Theses @ University of Colorado System; ProQuest Dissertations & Theses A&I. (257256696)

A. A. Khaleq and I. Ra, "Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications," in IEEE Access, vol. 9, pp. 35464-35476, 2021, doi: 10.1109/ACCESS.2021.3061890. Link

A. Khaleq and I. Ra, “Agnostic Approach for Microservices Autoscaling in Cloud Applications” - The 2019 International Conference on Computational Science and Computational Intelligence - Symposium on Cloud Computing & Data Centers - CSCI-ISCC Dec. 2019

A. Khaleq and I. Ra, “Cloud-based Disaster Management as a Service: A Microservice Approach for Hurricane Twitter Data Analysis” - 2018 IEEE Global Humanitarian Technology Conference GHTC2018.

Khaleq, A.A., Ra, I. (2019). Twitter Analytics for Disaster Relevance and Disaster Phase Discovery. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_31