Zahi Al ChamiPhD Student in Computer Science
- LIUPPA
LIUPPA
IUT de Bayonne et du Pays BasqueCampus Montaury 2, Allées Montaury 64600 Anglet France
zahi.al-chami @ univ-pau.fr
Education
Professional Experience
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Sept 2017-Present |
Instructor at Antonine University – Baabda - Lebanon |
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Feb 2017 - Present |
Research Assistant at Ticket Lab – Antonine University |
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June 2016-Jan 2017 |
MS Final year project subject: Anonymizing multimedia documents using apache storm |
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July 2015 |
Internship at creditbank in oracle and Cisco – IT Department – Duration: 1 month - Subject: Servers backup management and communication Between different branches |
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2010-2017 |
Teaching private courses in Math, physics and chemistry for complementary and secondary classes |
Education
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May 2018- Present |
PhD Student in Computer Science – UPPA - France |
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2013 – 2017 |
MS in Software Engineering – Antonine university – Baabda - Lebanon |
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2009 – 2012 |
BS in Physics – Lebanese university – Fanar - Lebanon |
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2009 |
Baccalaureate in general science –sainte famille maronites – Wadi Chahrour, Lebanon |
Certifications and Awards
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Second Best project in ODDS 2016 at Antonine University |
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CCNA Instructor |
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CCNA 200-125 Routing and Switching
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Research interests
- Data Privacy
- Real Time Data
- Utility function
- Data quality
- Distributed system
- Anonymization
Projects
Thesis
Title
Multimedia Data Flow Quality Estimation and Privacy Preservation
Description
Nowadays, social media runs a significant portion of people’s daily lives. Millions of people use social media applications to share thoughts, photos and videos. The huge number of data shared on social media has serious challenges and requires some critical thoughts when it comes to processing and preserving the content of these data due to its high-level of importance. There are concerns on the way to handle the massive use of these data in real time due to its volume and complexity and there are some individuals who prefer to remain anonymous in these data. However, protecting these sensitive personal information may suppress a number of features and lead to damage its quality.
In our work, we are providing a utility function that will allow us to find a trade-off between privacy and quality and enable us as well to maintain essential features while processing the data using a distributed system.
Members
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Thesis Director | |
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Thesis Co-Director | |
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Thesis Supervisor |
Publications
Pending.
