Matteo Calaon

Matteo Calaon serves as a Senior Researcher in Manufacturing Engineering within the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research spans multiple advanced manufacturing domains with particular expertise in additive manufacturing, injection molding technologies, and digital transformation of manufacturing processes.

Dr. Calaon's research interests focus on integrating artificial intelligence with physics-based modeling for manufacturing process optimization. His work in Additive Manufacturing explores quality prediction systems for polymer PBF-LB processes, while his research in Injection Molding investigates high-precision micro-manufacturing techniques. He also contributes significantly to Digital Manufacturing through development of digital fingerprints linking product and process perspectives.

His recent publications demonstrate a clear trend toward hybrid AI-physics approaches for manufacturing quality control, with applications spanning polymer processing, silicon crystal growth, and medical device manufacturing. This interdisciplinary work bridges computer vision, materials science, and precision engineering to solve complex manufacturing challenges.

Dr. Calaon actively supervises multiple PhD students across diverse manufacturing projects including Platform-based Manufacturing Systems, Additive Manufacturing Farm, and Digital Moulding 4.0 initiatives. His research is supported through substantial project funding that enables advanced manufacturing research and development.

He is actively involved in the manufacturing research community, participating in conferences such as the Euspen Special Interest Group Meeting on Structured and Freeform Surfaces. His collaborative network extends across multiple institutions and research groups focused on advancing manufacturing technologies.