Our data center HVAC research leverages advanced AI-driven approaches combined with physics-based modeling to revolutionize the design, optimization, and control of next-generation cooling systems. By integrating experimental testing, finite element modeling, machine learning-based surrogate modeling, and physics-informed optimization, we enable the development of intelligent HVAC systems that maximize energy efficiency while ensuring optimal thermal performance for data center operations and chip-level cooling applications.