Our research focuses on advancing intelligent computational methods for the modeling, prediction, control, and optimization of complex fluid flows and thermal-fluid systems. We combine high-fidelity CFD, turbulence modeling, machine learning, and physics-based approaches to understand fundamental flow phenomena and improve engineering system performance. These methods are applied across diverse fields, including renewable and hydrogen energy, next-generation nuclear systems, defense and aerospace engineering, offshore and marine engineering, and advanced thermal-fluid technologies.