/ Team & Supervision

Students and projects across AI-driven aerospace engineering.

I supervise undergraduate, master's and PhD projects on AI-driven aerodynamics, surrogate modelling, flow control, experimental fluid mechanics, and aerospace design.

/ PhD supervision

Current PhD research directions

/ 01Enhancing turbulent flow control via data fusion
/ 02ML-based aerodynamic shape optimization for road vehicles
/ 03Multifidelity surrogate models for high-dimensional aerodynamic data
/ 04Aerodynamic design optimization using reinforcement learning
/ 05Physics-informed neural operators for aerodynamic surrogate modelling
/ 06Smart morphing wings for drone performance
/ 07Hardware-in-the-loop systems for active flow control
/ 08Propeller design for distributed and hybrid-electric propulsion
/ 09Data-driven and model-based techniques for efficient fluid control
/ 10Surrogate-based aerodynamic shape optimization under noisy functions