The iSYS R&D Laboratory develops enterprise design platforms to understand and advance complex system designs comprising multiscale and multiphysics interactions. The key elements of the challenges include data mining, knowledge extraction, predictive modeling, verification and validation (V&V), risk (or reliability) assessment, and risk-based design optimization.

1. Data mining and knowledge extraction

· Mining for subjective/objective data (or epistemic/aleatory)

· Heterogeneous/evolving data sets and statistical knowledge extraction

2. Predictive modeling

· Frequentist/Bayesian statistics (or updating)

· Predictive system performances, failure criteria

3. Verification and Validation (V&V)

· Model verification

· Validation metrics

4. Risk-based design optimization

· (Accelerated) lifecycle testing

· Efficient/accurate reliability prediction

· Probability sensitivity analysis

The iSYS R&D Laboratory also deals with contemporarily important topics as

5. Degradation-based Prognostics

· (Accelerated) lifecycle testing

· Structural health monitoring

6. Innovative material design

· Defect-insensitive material design