The AI/Modeling/Monitoring track at ICALEO 2025 showcases the latest advancements in intelligent and data-driven approaches to laser processing. Sessions will highlight innovations in artificial intelligence, modeling, and advanced monitoring techniques that are transforming how laser processes are understood, optimized, and controlled. Discover how these technologies are working together to boost precision and efficiency in laser materials processing across industries.
Session Search
* Program subject to change.
| Day | Session | Title | Keywords |
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| Tuesday | Precision and Ultrafast Laser Processes | In-Line Displacement Sensor for Precision Ultrafast Laser Machining with Integrated In Situ Inspection |
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| Tuesday | Predictive and Physics-Informed Approaches | Prediction of Weld Pool and Keyhole Geometries in High-Power Laser Beam Welding through a Physics-Informed Generative Approach |
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| Tuesday | Predictive and Physics-Informed Approaches | Deep Learning-Based Monitoring of Laser Absorptance in Partial Penetration Laser Keyhole Welding |
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| Tuesday | Predictive and Physics-Informed Approaches | Development of an Embedded Monitoring Device for Real-Time Groove Depth Measurement in Laser Deep Gouging for Nuclear Dismantling |
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| Tuesday | Predictive and Physics-Informed Approaches | Advanced Self-calibrating M-square Measurement Technology |
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| Wednesday | Machine Learning for Laser Processing | Machine Learning for Predictive Control of Silicon Thinning in Integrated Circuits |
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| Wednesday | Machine Learning for Laser Processing | AI Based Parameters Prediction Tool for Femtosecond Laser Micromachining of Stainless Steel 316L and 304, Brass and Titanium |
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| Wednesday | Machine Learning for Laser Processing | Machine Learning Model for Predicting Surface Wettability in Laser-Textured Metal Alloys |
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