■ OULA_MARDAWI.HTM — Skills & Research
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[ PROFICIENCY.DAT ]
Cybersecurity
95%
AI / ML
85%
C / C++
80%
Swift / iOS
75%
Python / ML
80%
Networking
90%
[ SKILLS.DAT ]
[CYBERSECURITY]
  • Metasploit, Nmap, Kali Linux
  • Wireshark, OpenVas, Greenbone
  • Firewalls, SIEM, OWASP, IAM
  • Autopsy, FTK Imager (Forensics)
  • Cisco Packet Tracer, Docker
[PROGRAMMING]
  • Swift, Java, C, C++
  • SQL, Git, React Native
  • Machine Learning, Data Analytics
  • OOP, Logic Design
  • AI Research & Evaluation
[TOOLS]
  • JIRA, Slack, Confluence
  • GitHub, Sourcetree
  • Node.js, MongoDB, Firebase
  • Linux, Figma
[LANGUAGES]
  • Arabic    [##########] Native
  • English   [##########] Fluent
  • French    [###       ] Beginner
[ PUBLICATIONS.BIB ]
Journal Paper Q1 JOURNAL 2025
O. Mardawi, "Evaluating the Effectiveness of LLMs versus Machine Learning in Detecting Phishing Emails", Algorithms, 2025.
[View Paper]
[ AWARDS.TXT ]
Chevening Scholarship — Top 2% of 77,000+ global applicants   2023–2024
AI Safety Collab (ENAIS) — 5th place out of 26 projects   2025
Erasmus+ Scholarship — Selected from 150+ students   2021
University of Warwick Award — 100 hours skills development   2024
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