Noura Ben Salah
Assistant Professor of Computer Science at IT BUSINESS SCHOOL- Claim this Profile
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Bio
Experience
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IT BUSINESS SCHOOL
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Tunisia
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Higher Education
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1 - 100 Employee
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Assistant Professor of Computer Science
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Sep 2022 - Present
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Laboratoire RIADI
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Research
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1 - 100 Employee
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Researcher-PHD Student
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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
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ENSI - Ecole Nationale des Sciences de l'Informatique
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Tunisia
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Education Management
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1 - 100 Employee
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Co-supervision of Conception & Development Projects
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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.
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Assistant Professor of Computer Science
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Oct 2020 - May 2021
Teaching computer science disciplines: Courses, practical work, tutorials and project supervision
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Institut Supérieur des Etudes Technologiques de Kélibia (ISET Kélibia)
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Tunisia
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Higher Education
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1 - 100 Employee
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Computer science Technologist Assistant
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Sep 2017 - May 2018
Teaching computer science: courses and practical work Teaching computer science: courses and practical work
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Laboratoire RIADI
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Research
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1 - 100 Employee
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Research And Development Intern
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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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