
Najah Aiman
@najahaiman
I build cybersecurity and machine-learning solutions for real-world security challenges.
What I'm looking for
I've built cybersecurity and machine-learning projects spanning SOC operations, network security, and AI-driven data center planning. My capstone used XGBoost, LSTM, Random Forest, and LightGBM to forecast optimal data center deployment, delivered through a FastAPI and PostgreSQL application.
I created a multi-VM SOC and disaster recovery lab using Wazuh, TheHive, Suricata, and Velociraptor to detect, investigate, and respond to simulated attacks. I also developed a CNN-based deepfake audio detector for phone-banking authentication bypass scenarios using more than 50,000 audio samples.
My research has earned a Best Paper Award at FICTA 2026 and third place in the IEOM Undergraduate Research Competition. I'm a published researcher with a 3.98/4.00 GPA in Information Systems Security.
Experience
Work history, roles, and key accomplishments
Information Systems Security Graduate
University of Dubai
Jan 2022 - Jan 2026 (4 years)
Graduated with a Bachelor of Science in Information Systems Security, achieving a GPA of 3.98/4.00 and Dean's Honors. Completed project-based work in cybersecurity operations, machine learning, and network security.
Education
Degrees, certifications, and relevant coursework
University of Dubai
Bachelor of Science, Information Systems Security
2022 - 2026
Grade: 3.98 / 4.0
Activities and societies: Dean's Honors' List - Academic Year 23/24
Bachelor of Science in Information Systems Security with a GPA of 3.98/4.00. Named to the Dean's Honors' List for the academic year 23/24.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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