Stephen K.H. Lee

Dr Stephen Lee is a Postdoctoral Researcher in Advanced Manufacturing Engineering, with expertise in digital twin technologies, process optimisation, and intelligent robotic systems. He completed his PhD at the University of Limerick, supported by a €200,000 scholarship from the Confirm Smart Manufacturing Centre under Science Foundation Ireland. His doctoral research focused on enhancing manufacturing efficiency through machine learning and vision-based assessment techniques, particularly in robotic drilling of composite materials.

Stephen has published extensively in high-impact journals including Journal of Intelligent Manufacturing, Sensors, and Composites Science and Technology. His work integrates theoretical innovation with industrial application, contributing to the development of smart manufacturing systems and predictive maintenance strategies for complex robotic platforms.

Currently, Dr Stephen Lee is furthering his academic career as a Postdoctoral Researcher at Technological University Dublin, continuing his work in the same domain as his doctoral research. His current engagement builds upon his expertise in digital twin systems, intelligent manufacturing, and robotic process optimisation. 

• Digital twin technology
• Advanced manufacturing technology
• Machine learning
• Machining processes
• Composite material

• 2025: In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning - Journal of Intelligent Manufacturing
• 2023: A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model - International Journal of Advanced Manufacturing Technology
• 2022: The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process - MDPI: Sensors
• 2021: Influence of environmental conditioning on mechanical properties of carbon dry fibre preformed thermoplastic matrix composites manufactured via automated placement-resin infusion process - Composites Communication
• 2021: Evaluation of the flexural properties and failure evolution of a hybrid composite manufactured by automated dry fibre placement followed by liquid resin infusion - Composites Part A: Applied Science and Manufacturing
• 2020: Mechanical evaluation and failure analysis of composite laminates manufactured using automated dry fibre tape placement followed by liquid resin infusion - Composites Science and Technology