Marwan Mohammed is an AI-focused specialist with a strong academic foundation in Mechatronics Engineering (B.Sc. 2016, M.Sc. 2018) and a Ph.D. in Artificial Intelligence and Robotics (2022). His research bridges advanced AI methodologies—including deep learning, computer vision, and reinforcement learning—with intelligent systems design.

Marwan’s work spans a diverse range of applications, including object detection, robotic manipulation, motion planning, and autonomous decision-making. He is currently leveraging large language models (LLMs) and multimodal AI systems to enhance human-robot and child-robot interaction, focusing on how machines can better interpret and respond to complex, dynamic human behaviors.

His recent contributions include AI-powered human-robot collaboration, intelligent traffic control systems, adaptive robotic learning frameworks, and the development of gamification-based educational escape rooms to foster engagement and critical thinking.

Throughout his career, Marwan has consistently applied AI to drive innovation, earning multiple research excellence awards and advancing intelligent automation across both academic and applied domains.