Paper 14093-63
Paper 14093-63
AI-driven innovation in laser-based manufacturing – trends and perspectives (Invited Paper)
16 April 2026 • 11:00 - 11:30 CEST | Curie A (Niveau/Level 1)
Abstract
This presentation surveys current trends and future perspectives on how data science and AI advance photonics, with a focus on laser-based manufacturing. Fraunhofer ILT and RWTH Aachen University have successfully demonstrated solutions across AI- and data-driven laser and optical system design, process monitoring, and parameter optimization, with progress toward self-learning manufacturing systems. These approaches demonstrably improve product quality while reducing development time and production costs, highlighting the transformative potential of AI across the photonics value chain.
Presenter
Carlo Holly
RWTH Aachen Univ. (Germany), Fraunhofer-Institut für Lasertechnik ILT (Germany)
Carlo Holly is professor of Optical Technologies and head of the chair for Technology of Optical Systems TOS at the RWTH Aachen University. He and his chair work in close collaboration with the Fraunhofer-Institute for Laser Technology ILT in Aachen, where he is also head of the department Data Science and Measurement Technology. His areas of research include optical systems, computational optics, EUV-technology, and digital photonic production. He received the diploma in mechanical engineering, the B. Sc. in physics and the M. Sc. in theoretical particle physics, as well as the doctoral degree from RWTH Aachen University. In 2017 he joined TRUMPF Photonics in Princeton, USA, where he worked on the development of high-power semiconductor lasers. In 2020, as Head of R&D Photonics he worked on optical systems and photonics integration for non-invasive glucose measurement devices at DiaMonTech AG in Berlin. In 2021 Prof. Holly became full-time professor at the RWTH Aachen University.