PUMA publications for /user/ifsw/MachineLearningMon Apr 20 16:13:32 CEST 2026Advanced laser processing and its optimization with machine learning2023myown Welding Laser BayesianOptimization GaussianProcesses MachineLearning Ablation Optimization The flexibility of new laser sources and process-monitoring enables new possibilities in laser-based production technology, for instance the combination of different laser processes with many adjustable parameters. The fusion of domain knowledge and probabilistic models in the form of hybrid models allows an efficient optimization of these processes with machine learning. This can be a key technology to realize self-learning laser-based universal machines in the future. The article discusses some examples where algorithm-based optimization, partly supported by hybrid models, can already greatly reduce the effort required to find suitable process parameters.Mon Apr 20 16:09:36 CEST 2026Advanced laser processing and its optimization with machine learningLaser Applications in Microelectronic and Optoelectronic Manufacturing (LAMOM) XXVIII2023myown Welding Laser BayesianOptimization GaussianProcesses MachineLearning Ablation Optimization The flexibility of new laser sources and process-monitoring enables new possibilities in laser-based production technology, for instance the combination of different laser processes with many adjustable parameters. The fusion of domain knowledge and probabilistic models in the form of hybrid models allows an efficient optimization of these processes with machine learning. This can be a key technology to realize self-learning laser-based universal machines in the future. The article discusses some examples where algorithm-based optimization, partly supported by hybrid models, can already greatly reduce the effort required to find suitable process parameters.Wed Dec 10 11:18:04 CET 2025Optics & Laser Technologydec113441Multimodal sensor fusion with SWIR imaging and audio for inline gas-tightness monitoring in laser-welded bipolar plates1922025myown peer machinelearning laserwelding sensorfusion