Mohamad Abou Ali

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About

Mohamad Abou Ali is an emerging researcher at the forefront of artificial intelligence, with a particular focus on agentic AI systems and their architectural foundations. His most notable work, "Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions" (2025), has already garnered 42 citations shortly after publication — a remarkable indicator of its immediate relevance to the research community. In this survey, Abou Ali tackles a critical challenge plaguing the field: the phenomenon of conceptual retrofitting, whereby modern neural AI systems are misleadingly interpreted through the lens of outdated symbolic models. By systematically clarifying these distinctions, he provides researchers and practitioners with a coherent framework for understanding how contemporary agentic systems truly operate. His work bridges theoretical foundations with practical applications, making it valuable for both academic inquiry and real-world AI development. As agentic AI continues to reshape industries — from autonomous decision-making to intelligent automation — Abou Ali's contributions help establish the conceptual clarity necessary for responsible and rigorous advancement of the field. His early-career impact suggests a promising trajectory in shaping how the next generation of AI researchers understands and builds intelligent systems.