Adil M. Ahmad, Ph.D., is an Assistant Professor of Information Technology at King Abdulaziz University (KAU), Jeddah, Saudi Arabia. His research interests span Artificial Intelligence, Machine Learning, Reinforcement Learning, Adaptive and Optimal Control, Nonlinear Systems, Multi-Agent Systems, Computer Vision, Biometrics, Deep Learning, and Intelligent Systems. His current research focuses on integrating Reinforcement Learning with adaptive and optimal control for constrained nonlinear and multi-agent systems. His work addresses problems including containment control, consensus control, event-triggered and self-triggered control, fault-tolerant control, actuator faults, system constraints, and secure networked systems. Additional research interests include Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Conversational AI, Edge Computing, Mobile Computing, IoT, and data-driven intelligent systems. He is interested in international research collaboration, joint publications, interdisciplinary research projects, graduate student supervision and co-supervision, and academic opportunities in Artificial Intelligence, Machine Learning, Reinforcement Learning, and Intelligent Control.