Faiza Mehram

AI/ML researcher and engineer with an MS in Computer Science and hands-on experience in Python, PyTorch, TensorFlow/Keras, computer vision, deep learning, explainable AI, and security-focused machine learning. Experienced in developing spatial-temporal models, adversarial attack detection, anomaly detection, federated learning, and experimental evaluation. Research experience spans UAV/IoT security and post-quantum cryptography, with practical experience using Docker, Git, and ML development workflows.

Research Assistant – Post-Quantum Cryptography at Department of Cyber Security, FAST-NUCES (2026-07 – Present)

• Evaluate post-quantum cryptographic schemes through experimental benchmarking and security analysis for quantum-resilient UAV/IoT communication.
• Develop Python-based experiments for measuring cryptographic performance under varying network and communication conditions.
• Apply secure-system evaluation, adversarial ML, and explainable AI experience to security research and experimental analysis.

MS in Computer Science – FAST National University of Computer and Emerging Sciences (FAST-NUCES) (2025)

BS in Computer Science – University of Sargodha (2022)