AI for Security.
Harnessing the power of predictive modeling and pattern recognition to automate threat detection and enhance digital identity verification.
Focus Areas
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Intelligent Threat Hunting
Developing unsupervised learning models to identify zero-day attacks and anomalous network behaviors.
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Behavioral Biometrics
Researching continuous authentication methods based on keystroke dynamics, gait analysis, and touch gestures.
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Automated Vulnerability Discovery
Applying Reinforcement Learning to discover logical flaws and memory safety issues in large-scale codebases.
Selected Publications
IEEE SVCC 2025
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops
IEEE AIIoT 2025
Multi-Modal Adversarial Activity Detection Using Keyboard and Mouse Dynamics
IEEE CARS 2025
Adopting AI in Computing-based Interdisciplinary Curricula for Workforce Readiness
IEEE CARS 2025
Boosting Cyber Awareness through Cyber-AI Summer Camps: From Raspberry Pi to Nvidia Jetson
IEEE ICCCNT 2025
Enhanced Multi-Class DDoS Attack Identification Using a Meta-Learning Ensemble
IEEE ERCICA 2013
Video Shot Detection Using Corner Detectors and Optical Flow