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About

Ramez Awad is a leading researcher in industrial robotics, specializing in human-robot collaboration (HRC), model-driven engineering, and simulation-based learning for manufacturing. His most influential work, "Integrated risk assessment and safety consideration during design of HRC workplaces" (42 citations), addresses a critical challenge in modern manufacturing: safely integrating collaborative robots into production lines without sacrificing flexibility. Awad pioneered ontology-driven approaches for robotics, introducing novel frameworks that use semantic technologies and description logics to systematically represent and reason about robot capabilities and workplace features—work that has shaped how system integrators approach robot-centric design. He made significant contributions to the European robotics landscape through his involvement in the EuRoC challenge initiative, which established industry-relevant benchmarks for manufacturing applications. More recently, Awad has advanced intelligent automation by developing data-driven joining models and analytical frameworks that enable robots to learn complex assembly tasks, such as cabinet assembly, through simulation. His work on virtual validation of power and force limiting setups provides practical methods for ensuring compliance with safety standards in physical human-robot interaction. With publications spanning risk assessment, software architecture, and simulation-based learning, Awad continues to drive the transition toward flexible, safe, and intelligent robotic manufacturing systems.