Mahmoud Nazzal
Current University
Old Dominion University
Research Areas
AI security, adversarial machine learning, trustworthy software systems, robustness of Large Language Models (LLMs), Graph Neural Networks (GNNs), secure code generation, deepfake detection, and multimodal learning.
Background
Dr. Nazzal’s research focuses on the robustness, security, and real-world applicability of Large Language Models (LLMs) and Graph Neural Networks (GNNs). His recent work explores adversarial vulnerabilities in relational and generative models, with practical applications in cybersecurity, hardware design automation, and intelligent systems. His work has been recognized with multiple awards and covered by U.S. and international patents.
Alma Maters
Ph.D. in Computer Engineering, New Jersey Institute of Technology (NJIT), USA, 2025