Summary
Halima Bouzidi is a machine learning and security researcher with eight years of experience specializing in the resilience of cyber-physical systems and hardware-aware neural network design. As a Postdoctoral Scholar at UC Irvine leading AICPS security research and the UCI-side DARPA FIRE efforts, she builds scalable red-teaming frameworks that uncover vulnerabilities across physical, hardware, and software layers of drones, vehicles, and other safety-critical platforms. Her PhD work blends NAS, DVFS-aware optimization, runtime-adaptive networks, and ML-driven predictors to make neural models efficient and robust on resource-constrained edge devices. She has taught advanced C programming at UCI and brings practical systems engineering experience from roles spanning industry internships to mobile development for UNICEF Innovation Lab. Notably, she applies cross-layer SW/HW co-optimization and adversarial ML insights to bridge academic research and deployable security tools.
8 years of coding experience
8 years of employment as a software developer
Engineer's degree, Computer Engineering, Engineer's degree, Computer Engineering at Ecole nationale Superieure d'Informatique (ESI)
English, French, Arabic, Spanish