I work at the intersection of dynamical systems, control theory, and data-driven / AI methods.
Problem: Understanding structure in nonlinear, high-dimensional dynamics.
Approach: Data-driven modeling and structural analysis.
Outcome: Compact representations that support control design.
Problem: Stabilization and performance guarantees under uncertainty.
Approach: Modern control methods with system-theoretic constraints.
Outcome: Robust controllers for complex dynamical systems.
Problem: Bridging theory and practice using learned components.
Approach: Data-driven and AI-based methods for modeling/control.
Outcome: Next-generation methods for safer and smarter control.
If you are working on related problems in controls, system identification, or data-driven modeling, feel free to reach out via the Contact page.