Advanced high order finite element methods for Partial Differential Equations.

Scalable solvers for future supercomputing systems to simulate complex physical problems.

Advanced statistical and mathematical algorithms for large-scale inverse problems and uncertainty quantification problems.

Advanced scientific machine learning methods for real time online calibration and uncertainty quantification for digital twins.

Advanced scientific machine learning methods for robust and reliable deployment for Digital Twins.