Research Projects

Research Interests

• Scientific Machine Learning: Data-Driven (Structured) Reduced-Order Modeling, Data-Driven Balanced Truncation, Learning Deterministic Maps, Data Assimilation
• Model-Order Reduction: System-Theoretic Methods for the Approximation of Large-Scale Dynamical Systems, Projection-Based Methods, Optimal-\(\mathcal{H}_2\) Approximation by Methods of Rational Interpolation
• Numerical Linear Algebra: Low-Rank Matrix Decompositions, Best-\(\mathcal{L}_2\) Rational Approximation