“Sinan is an excellent teammate. He is very hardworking and motivates those around him to explore new ideas and work together towards common goals. He goes above and beyond to ensure that every task is successfully completed, which has helped our team develop top-quality solutions. I am continuously impressed by Sinan’s determination to overcome any obstacle, and I have no doubt that he will make a valuable addition to any team.”
Sobre
AI & Cybersecurity specialist with a solid foundation in computer science and software…
Experiência
Formação acadêmica
Licenças e certificados
Publicações
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On the Implementation of a Secure and Energetically Efficient NOC for Mobile Networks
Conference Paper | IEEE
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Holistic Security and Safety for Factories of the Future
Journal Article | MDPI Sensors
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Multiple Domain Security Awareness for Factories of the Future
Conference Paper / Book Chapter | Springer
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LEMMAS: a secured and trusted Local Energy Market simulation system
Conference Paper | IEEE
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SMS-I: Intelligent Security for Cyber–Physical Systems
Journal Article | MDPI Information
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Intelligence as a Service: A Tool for Energy Forecasting and Security Awareness
Conference Paper / Book Chapter | Springer
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Extending a Trust model for Energy Trading with Cyber-Attack Detection
Journal Article | MDPI Electronics
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A Tool to Support the Investigation and Visualization of Cyber and/or Physical Incidents
Conference Paper / Book Chapter | Springer
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The Impact of Attacks in LEM and Prevention Measures Based on Forecasting and Trust Models
Journal Article | MDPI Processes
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Development of a Structural Approach to Gamify eLearning Content
Journal Article | Damascus University
Projetos
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CANOPY | Cognitive and Automated Network Operations for Present and Beyond
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• Analyzing large-scale mobile data sets to optimize network operations.
• Designing an intelligent framework for security in mobile networks.
• Investigating and modeling trust systems for 5G and B5G. -
CyberFactory#1 | Addressing opportunities and threats for the Factory of the Future
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• Creating ML-based tools to monitor security incidents in smart factories.
• Integrating prediction techniques with industrial systems to detect faults. -
SPET | Secure interactions and trusted Participation in local Electricity Trading
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• Training ML models to predict energy trends from time series datasets.
• Developing web tools to automate the forecasting process.
• Integrating energy forecasting services into cybersecurity solutions. -
SATIE (H2020) | Security of Air Transport Infrastructure of Europe
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• Developing data visualization dashboards for security incidents in airports (the solution was tested in 3 European airports: Athens, Milano, Zagreb).
• Connecting ML-based components to store and exchange security alerts. -
Other Projects
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• SeCoIIA: Secure Collaborative Intelligent Industrial Assets.
• eLotto: The national eLottery platform in Syria.
• ShoRa2yak: Online voting and surveys platform.
• Q&A: Interactive contests platform on mobile and web.
• GOAL: Sports betting platform on mobile devices.
Idiomas
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English
Nível avançado
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Arabic
Nível nativo ou bilíngue
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