Noura Ben Salah

Assistant Professor of Computer Science at IT BUSINESS SCHOOL
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Contact Information
us****@****om
(386) 825-5501
Location
Tunisia, TN

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Experience

    • Tunisia
    • Higher Education
    • 1 - 100 Employee
    • Assistant Professor of Computer Science
      • Sep 2022 - Present

    • Research
    • 1 - 100 Employee
    • Researcher-PHD Student
      • Jan 2017 - Sep 2021

      My thesis work aims to support massive IoT data and provide an efficient data placement solution in a Fog environment for time-sensitive IoT applications while minimizing the overall latency of the IoT system. keywords: Internet of Things (IoT), Fog computing, Data placement, Latency optimization My thesis work aims to support massive IoT data and provide an efficient data placement solution in a Fog environment for time-sensitive IoT applications while minimizing the overall latency of the IoT system. keywords: Internet of Things (IoT), Fog computing, Data placement, Latency optimization

    • Tunisia
    • Education Management
    • 1 - 100 Employee
    • Co-supervision of Conception & Development Projects
      • Feb 2021 - May 2021

      It is a co-supervision of student-engineers in computer science during the realization of their projects and the writing of their memory reports.

    • Assistant Professor of Computer Science
      • Oct 2020 - May 2021

      Teaching computer science disciplines: Courses, practical work, tutorials and project supervision

    • Computer science Technologist Assistant
      • Sep 2017 - May 2018

      Teaching computer science: courses and practical work Teaching computer science: courses and practical work

    • Research
    • 1 - 100 Employee
    • Research And Development Intern
      • Feb 2016 - Jul 2016

      Implementation of a multi-level simulator (strategic, tactical and operational) of emergency rescue based on agents allowing to model and simulate emergency interventions during a fire incident. Implementation of a multi-level simulator (strategic, tactical and operational) of emergency rescue based on agents allowing to model and simulate emergency interventions during a fire incident.

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