Dr. Mahmoud Nazzal is an Assistant Professor at Old Dominion University with a joint appointment in the Department of Computer Science and the School of Cybersecurity. His research focuses on the security, robustness, and practical deployment of modern AI systems, especially Graph Neural Networks and Large Language Models. His work covers adversarial machine learning, secure and functional code generation, multimodal deepfake detection, hardware design automation using AI, transportation analytics, and Internet security. He has authored more than 20 conference papers, 13 journal publications, 10 US and international patents, and one book chapter. His results appear in leading venues such as ACM CCS, IEEE Security and Privacy, GLSVLSI, IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, and IEEE Transactions on Mobile Computing. Dr. Nazzal completed his Ph.D. in Computer Engineering at the New Jersey Institute of Technology. He previously held teaching and research appointments at NJIT, the Abu Dhabi Vocational Education and Training Institute in the United Arab Emirates, and universities in Turkey. He has taught courses in computer engineering, programming, robotics, digital systems, and machine learning, and continues to mentor students in AI security and intelligent systems. For more details about his publications, projects, awards, and ongoing research, please visit: https://mahmoudkanazzal.github.io