At FAST-NUCES, I evaluate post-quantum cryptographic schemes for resilience against quantum-capable adversaries and document algorithmic performance. I also apply my experience in adversarial machine learning, secure system evaluation, and explainable AI to post-quantum security analysis.
My research includes an explainable spatial-temporal framework for detecting adversarial attacks and adaptively mitigating them in UAV traffic monitoring, currently under review. I’m also developing a multi-layer federated learning architecture for privacy-preserving intrusion detection across UAV-IoT networks.
In my IoT security projects, I designed a federated-learning aggregation strategy resilient to non-IID data and implemented packet-capture analysis scripts to flag anomalous command-and-control traffic. I hold an MS in Computer Science from FAST National University of Computer and Emerging Sciences (NUCES).
