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Saeed Shafiee Sabet

Saeed Shafiee Sabet

Saeed Shafiee Sabet is a researcher specializing in cloud gaming, multimedia systems, and user quality of experience (QoE), with a focus on applied AI techniques.

πŸŽ“ Education

  • PhD in Computer Science, Technische UniversitΓ€t Berlin
  • Thesis: Understanding and Mitigating the Influence of Delay on Cloud Gaming Quality of Experience

πŸ§‘β€πŸ’» Experience

  • Postdoctoral Researcher, Simula Research Laboratory, Oslo Metropolitan University
  • Research Interests: Cloud gaming, virtual reality (VR), multimedia systems, applied AI

πŸ“š Key Publications

  • The Influence of Delay on Cloud Gaming Quality of Experience (Springer, 2022)
    Focuses on the impact of delay on cloud gaming and proposes techniques to enhance the gaming experience during network disruptions.

  • Delay Sensitivity Classification of Cloud Gaming Content
    Developed a delay sensitivity classification method to predict how different types of games respond to network latency.

πŸ† Research Contributions

  • Cloud Gaming QoE: Saeed's work has helped define how different types of games react to delay, enabling better resource allocation and gaming performance optimization.
  • Delay Compensation Techniques: Proposed methods to compensate for network delays in cloud gaming, improving user experience.

For more details, you can explore his publications and research on Simula Research Laboratory's website or Springer.