Mohanad Kandil

Technical University of Munich, Heilbronn University

Papers

Total Citations

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About

Mohanad Kandil is an emerging researcher at the intersection of artificial intelligence, robotics, and neurodevelopmental therapy, with a particular focus on transforming how Attention Deficit Hyperactivity Disorder (ADHD) is diagnosed and treated. His work pioneers the integration of large language models — including ChatGPT and Claude — with robotic assistants to create scalable, adaptive therapeutic interventions that address the well-documented limitations of traditional ADHD treatment approaches. Kandil's most cited work, "Exploring the Efficacy of Robotic Assistants with ChatGPT and Claude in Enhancing ADHD Therapy" (2024, 18 citations), positions him as a thought leader in AI-augmented occupational therapy, demonstrating how intelligent systems can personalize support for individuals struggling with inattention, hyperactivity, and impulsivity. His follow-up study in 2025 deepens this inquiry by examining ChatGPT-4o's capacity for real-time adaptability — a critical advancement over rigid, fixed-content therapeutic tools. Though early in his academic career, Kandil's research addresses a genuinely pressing clinical challenge: making individualized ADHD support accessible at scale. His interdisciplinary approach, bridging AI development and therapeutic practice, signals a promising trajectory for researchers interested in the future of neurodevelopmental care and human-robot interaction.