Project Goals


  • Defect detection and identification
  • Anomaly detection
  • Process-physics integrated learning


  • Robust model development
  • Model explainability and interpretability
  • Out-of-distribution (OOD) detection


  • Life-long learning (LML)
  • Learning without forgetting (LwF)
  • OOD integrated learning

Research team: Vignesh Selvaraj


Industrial Case Study

Through this work we aim to develop systematic approaches to build robust and trustworthy AI for industrial applications. Our work focuses not only building reliable physics informed models for industrial applications and machines, but also ensures their reliability in field. Through our work, we aim to facilitate industries’ transition to industry 4.0 by enabling widespread deployment of the developed models.

More details
Case Study Process Flow
Process flow for Industrial AI model development