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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| Monday | Design and Process Optimization | Numerical Simulation of Printing Copper Contacts by Laser Sintering Nanoparticles for Solar Cells |
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| Monday | Design and Process Optimization | Topology Optimization of Additively Manufactured Components Using Artificial Intelligence: A Method for the Integration of Composite Lattice Structures |
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| Monday | Design and Process Optimization | Data-Driven Monitoring of Laser Metal Deposition for Enhanced Process Stability |
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| Monday | Design and Process Optimization | 20-Dimension Bayesian Optimization of Maximum Proton Energy in the TNSA Regime Using Dynamic Wavefront Shaping |
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| Monday | Monitoring and Control | In-Process Computer Vision Monitoring of Laser Welding for Strenx 700 E High-Strength Steels |
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| Monday | Monitoring and Control | Quality Monitoring in Laser Welding of Rectangular Copper Wires for Traction Drives Using an Optical Microphone |
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| Monday | Monitoring and Control | AI-Driven Real-Time Optimization of Laser Welding: A Low-Latency Approach for High-Quality Welds |
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| Tuesday | Laser-based Additive Manufacturing Processes | Influence of Powder-Laser Interaction on Heat Flux Distribution in Laser Material Deposition |
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| Tuesday | Laser-based Additive Manufacturing Processes | Rapid Inspection of Surface Morphology for Laser Additive Manufactured Parts Based on 3D Computer Vision |
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| Tuesday | Laser-based Additive Manufacturing Processes | Powder Flow Monitoring in Directed Energy Deposition via Acoustic Emission |
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| Tuesday | Numerical and Experimental Investigations in Welding | Numerical Investigation of the Suppression Mechanism of Weld Pore Defects in Oscillating Laser Welding of Medium-Thick Aluminum Alloy |
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| Tuesday | Numerical and Experimental Investigations in Welding | A Three-dimensional Reconstruction Method of Weld Grain Morphology in 6061 Aluminum Alloy Laser Welding Based on Octree Regularization |
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| Tuesday | Numerical and Experimental Investigations in Welding | Analysis of the Grains Transition Behaviors from Columnar Grain to Equiaxed Grain during the Aluminum Alloy Laser Welding |
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| Tuesday | Physics of Laser-Material Interaction | Elucidation of the Laser Beam Energy Attenuation by the Vapor Plume Formation during High Power Laser Beam Welding |
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| Tuesday | Physics of Laser-Material Interaction | Analytical Modelling of the Thermal Field during Laser Welding with Core and Ring Beam Configurations for Electric Mobility Applications |
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| Tuesday | Physics of Laser-Material Interaction | Analyze the Melt Flow in High Speed Laser Welding of Q235 Steel Assisted by the Weld Shaping Device |
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| Tuesday | Physics of Laser-Material Interaction | Event-Based PIV for Flow Visualization in Laser Ablation Processes |
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| Tuesday | Poster Gallery | Penetration Depth Classification in High-Speed Laser Welding Using Multi-Sensor Data and CNN |
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| Tuesday | Precision and Ultrafast Laser Processes | A Numerical Study of Ultrafast Laser Shock Peening |
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| Tuesday | Precision and Ultrafast Laser Processes | Data-Efficient Hybrid Physics - Machine Learning Model for Ultrafast Laser Ablation |
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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 Model for Predicting Surface Wettability in Laser-Textured Metal Alloys |
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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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