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For a comprehensive overview of our research,
watch the recent seminar talk here.
Computational Fluid Dynamics - Multiphysics Simulation
Computational Fluid Dynamics - Multiphysics Simulation
(i) Developing computational methods for the simulation of multiphysics fluid phenomena (turbulence, multiphase flows, combustion, fluid-structure interaction, acoustics, and heat transfer); and (ii) applying these methods for the accurate prediction, modeling, performance evaluation, and design optimization of complex fluid systems in diverse engineering applications, including aerodynamic systems (aircraft/wind turbine wing) and energy conversion/propulsion systems (combustor, compressor, propeller, turbine, and diffuser).
Design Optimization and Control
Design Optimization and Control
(i) Developing advanced optimization algorithms to tackle the inherently high-dimensional and nonlinear design/control challenges of fluid dynamics, leveraging both machine learning and mathematical optimization techniques; and (ii) applying these algorithms to achieve energy-efficient, high-performance designs for complex multiphysics fluid systems.
AI-Enhanced Fluid Dynamics
AI-Enhanced Fluid Dynamics
Developing advanced AI methodologies to: (i) automate the entire CFD workflow, from mesh generation and simulation to design-space exploration and optimization, thereby reducing reliance on iterative, expert-driven trial-and-error; (ii) construct interpretable, physics-aware AI provides trustworthy and rapid solution yielding insight into complex flow phenomena; and (iii) explore novel design and control strategies for nonlinear, high-dimensional multiphysics flow systems, enabling systematic discovery of non-intuitive solutions beyond conventional heuristic engineering practices.
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