What I Do
I design, validate, and deploy control systems for complex physical systems. My work integrates model-based design, digital twins, state estimation, predictive and robust control, and embedded implementation — tied together by real-world experiments and test-bench validation.
I apply Artificial Intelligence — including reinforcement learning, deep learning, and data-driven prognostics — to intelligent control, fault detection, remaining useful life prediction, and adaptive estimation under uncertainty.
I value rigorous engineering: controllers that work reliably under uncertainty, clean implementations, and experiments that are reproducible and quantified.