Research
Research
Research themes in intelligent soft sensing, process monitoring, trustworthy industrial AI, and structured-light 3D measurement.
Virtual measurement
Intelligent soft sensing
Industrial quality variables are often expensive, slow, or impossible to measure online. I develop adaptive virtual sensors that learn from multimodal process data while remaining robust to missing labels, changing operating conditions, and unequal batch lengths.
- Just-in-time learning
- Relevance vector machines
- Domain generalization
- Latent regression
Safe operation
Process monitoring and fault diagnosis
My work studies representations of dynamic, multiphase industrial processes for abnormal-data detection, early warning, and interpretable condition monitoring. The aim is reliable decision support under real operating variability.
- Multiphase processes
- Fault diagnosis
- Dynamic alignment
- Multisensor fusion
Optical intelligence
Structured-light 3D measurement
I investigate data-driven calibration, adaptive depth inference, and geometric reconstruction for fringe-projection profilometry, combining physical structure with modern learning methods for accurate 3D sensing.
- Fringe projection
- 3D reconstruction
- Adaptive measurement
- Machine vision