Skip to main content
Dr Hani Sami

Hani Sami
PhD

Assistant Professor

Department of Electrical, Computer and Software Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: ERC 3032

905.721.8668 ext. 5743
905.721.3370 (fax)

hani.sami@ontariotechu.ca
https://scholar.google.com/citations?user=hS7nwPQAAAAJ&hl=en&oi=ao

Research topics

  • Fog/Edge Computing
  • Vehicular Networks
  • Internet of Things
  • Autonomous Resource Management
  • Machine Leaning
  • Reinforcement Learning
  • Large Language Models
  • Federated Learning
  • Multi-Agent Systems

Education

PhD, Information and Systems Engineering, Concordia University, 2023
MSc, Computer Science, American University of Beirut, 2019
BSc, Computer Science, Lebanese American University, 2017

Courses

SOFE3650 Software Design and Architecture
ENGR1200 Introduction to Programming
ENGR5200 Programming Method and Abstraction

Research and expertise

Publications and presentations

  • Selected publications and presentations
    Boateng, G. O., Sami, H., Alagha, A., Elmekki, H., Hammoud, A., Mizouni, R., ... & Guizani, M. (2025). A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions. IEEE Communications Surveys & Tutorials.

    Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., ... & Guizani, M. (2024). The metaverse: Survey, trends, novel pipeline ecosystem & future directions. IEEE Communications Surveys & Tutorials, 26(4), 2914-2960.

    Chahoud, M., Sami, H., Mizouni, R., Bentahar, J., Mourad, A., Otrok, H., & Talhi, C. (2025). Reward shaping in DRL: A novel framework for adaptive resource management in dynamic environments. Information Sciences, 122238.

    Arafeh, M., Wazzeh, M., Sami, H., Ould-Slimane, H., Talhi, C., Mourad, A., & Otrok, H. (2025). Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data. Journal of Network and Computer Applications, 236, 104105.

    Chahoud, M., Sami, H., Mourad, A., Otrok, H., Bentahar, J., & Guizani, M. (2025). On-demand model and client deployment in federated learning with deep reinforcement learning. IEEE Internet of Things Journal.

    Elmekki, H., Islam, S., Alagha, A., Sami, H., Spilkin, A., Zakeri, E., ... & Mourad, A. (2025). Comprehensive review of reinforcement learning for medical ultrasound imaging. Artificial Intelligence Review, 58(9), 284.

    Elmekki, H., Alagha, A., Sami, H., Spilkin, A., Zanuttini, A. M., Zakeri, E., ... & Mourad, A. (2025). CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning. Computers in Biology and Medicine, 190, 110003.

    Chahoud, M., Sami, H., Mourad, A., Otoum, S., Otrok, H., Bentahar, J., & Guizani, M. (2023). On-demand-fl: A dynamic and efficient multicriteria federated learning client deployment scheme. IEEE Internet of Things Journal, 10(18), 15822-15834.

    Sami, H., Saado, R., El Saoudi, A., Mourad, A., Otrok, H., & Bentahar, J. (2023). Opportunistic UAV deployment for intelligent on-demand IoV service management. IEEE Transactions on Network and Service Management, 20(3), 3428-3442.

    Mazloomi, A., Sami, H., Bentahar, J., Otrok, H., & Mourad, A. (2022). Reinforcement learning framework for server placement and workload allocation in multiaccess edge computing. IEEE Internet of Things Journal, 10(2), 1376-1390.

    Sami, H., Bentahar, J., Mourad, A., Otrok, H., & Damiani, E. (2022). Graph convolutional recurrent networks for reward shaping in reinforcement learning. Information Sciences, 608, 63-80.

    Sami, H., Mourad, A., Otrok, H., & Bentahar, J. (2021). Demand-driven deep reinforcement learning for scalable fog and service placement. IEEE Transactions on Services Computing, 15(5), 2671-2684.

    Sami, H., Otrok, H., Bentahar, J., & Mourad, A. (2021). AI-based resource provisioning of IoE services in 6G: A deep reinforcement learning approach. IEEE Transactions on Network and Service Management, 18(3), 3527-3540.

    Sami, H., Mourad, A., & El-Hajj, W. (2020). Vehicular-OBUs-as-on-demand-fogs: Resource and context aware deployment of containerized micro-services. IEEE/ACM transactions on networking, 28(2), 778-790.

    Sami, H., & Mourad, A. (2020). Dynamic on-demand fog formation offering on-the-fly IoT service deployment. IEEE Transactions on Network and Service Management, 17(2), 1026-1039.