Innovations in Thermographic Techniques for Diagnostics and Monitoring: Quantitative Methods, AI, and Real-Time Applications

Dear Colleagues,

This Special Issue invites cutting-edge research and comprehensive reviews on thermographic techniques for diagnostics and monitoring across science and engineering. We welcome advances in quantitative thermography (calibration, emissivity modeling, radiometric correction), active modalities (lock-in, pulse/phase, vibro- and laser-stimulated thermography), and 3D/temporal thermography integrated with rigorous heat-transfer modeling. Contributions leveraging physics-informed and data-driven methods—including inverse heat transfer, Bayesian uncertainty quantification, neural operators, super-resolution/denoising, and cross-domain transfer—are encouraged, as are multisensor fusion approaches (IR with RGB/LiDAR/ultrasound) and edge/real-time deployment for closed-loop control. Application domains may include nondestructive evaluation (welding and additive manufacturing, composites), electronics and batteries, structural health monitoring, buildings/energy audits, and biothermal diagnostics. We particularly welcome benchmark datasets, open-source toolboxes, and reproducibility studies that establish common evaluation protocols and reporting standards. Perspective/roadmap papers synthesizing best practices and future challenges are also welcome.

Dr. Luca Santoro
Dr. Michele Quercio
Guest Editors

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