Anas Abdelrazeq

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About

Anas Abdelrazeq is a forward-thinking researcher at the intersection of artificial intelligence and advanced manufacturing, with a primary focus on human-robot collaboration and intelligent decision-support systems for production environments. His work addresses critical challenges in manufacturing automation, particularly the need for efficient equipment selection and seamless human-robot interaction in complex production settings. Abdelrazeq’s most notable contribution is the design of an LLM-based copilot for manufacturing equipment selection, a pioneering approach that leverages large language models to streamline decision-making processes, reduce ramp-up time, and maintain production quality amid increasing product variation. This work, published in 2024 and 2025, has already garnered 5 citations, signaling growing interest in AI-driven manufacturing tools. He also contributed to defining requirements for collaborative human-robot workstations for composite part production, a study that lays essential groundwork for safe and effective human-robot teams in specialized manufacturing. By tackling the dual challenges of limited expertise and resource constraints in automation, Abdelrazeq’s research offers practical solutions that help manufacturers adapt to dynamic market demands. His work is particularly valuable for students and researchers exploring the integration of conversational AI into industrial engineering and the future of human-centric automation.