B.Sc. Cyber Security, Canadian University of Dubai, Class of 2026
I graduated in May 2026 with a B.Sc. in Cyber Security from the Canadian University of Dubai (CGPA 3.46 / 4.0). Over the last two years I studied how machine-learning systems hold up against attackers and published what I found: three IEEE conference papers as lead author, with a journal manuscript in preparation.
Hands-on, I work across the full attack-and-defend loop. Offence: web, network and cloud-identity penetration testing with Kali Linux, Burp Suite, Metasploit and Wireshark, including OAuth device-code abuse in Entra ID. Defence: detection engineering, SIEM and log analysis, and digital forensics. In between sits the part I care most about: testing ML models the way an adversary would, and making their decisions explainable to the analyst who has to trust them.
The intrusion-detection and voice-deepfake studies ship as reproducible, CI-tested open-source software with model cards and citation metadata. I also compete: 1st place at the Exploit3rs national CTF (2025) and 1st place at the Dubai AI System Competition (2024), honoured at GITEX. Open to SOC and blue-team, red-team, and AI-security roles, and to research assistant positions, in Dubai or remote.
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A hybrid DQN + LSTM agent, trained in an OpenAI Gym environment over DVWA, reached an 80% vulnerability-discovery rate at DVWA "High", where static fuzzing and a DQN-only baseline found nothing.
An edge-deployable XGBoost ensemble: F1 0.95, 95.17% accuracy, under 2 MB, 36.8 ms feature extraction, with no GPU or cloud dependency. Extended into the VoiceGuard platform.
A Monte-Carlo fleet testbed (500 runs, 50,000 ECUs). Layered governance cut the median attack blast radius from 27,784 to 46 ECUs and modelled cost from $28.7M to $55K, relative to cryptographic controls alone.
An ensemble IDS across CIC-IDS-2017, UNSW-NB15 and CSE-CIC-IDS-2018 (16M+ records, 26 attack classes) with SHAP and LIME explanations. The proposed XAI Confidence Score separates correct from incorrect predictions (Cohen's d 1.0 to 1.2), validated with McNemar's test and paired t-tests.
Author order as indexed on IEEE Xplore.
National capture-the-flag by Zayed Sector & CyberE71. First across the web, network and binary-exploitation tracks.
2025Alibaba Cloud & RTA hackathon. Won with SmartTranspo, a machine-learning smart map for Dubai taxi drivers; named "Best Implementation Champion" and honoured at GITEX Global 2024.
2024Canadian University of Dubai. First place in the university's inaugural coding competition.
2023Secured 9th place at the national competition; recognised by Juma Alshamsi, CEO of Exploit3rs.
2025Canadian University of Dubai, software category.
2024Timed CTF challenges across web exploitation, reverse engineering and incident response.
2024Attended the Router Hacking and Network Pentesting 101 workshops led by Juma Alshamsi, CEO of Exploit3rs.
2024Looking for SOC and blue-team, red-team, and AI-security roles, and for research assistant positions in applied machine-learning security. Dubai or remote. Email is the fastest way to reach me.