Dr Nick Zang
BEng, PhD
Research Overview
Aeroacoustics, Advanced experimental techniques, Data-driven in fluids, Flow and noise control, Bio-inspirations and bio-mimetics, Electric propulsion (UAM/Drones), Efficient numerical methods for high-speed flows
Interests
Zang's research focuses on the understanding and modelling of unsteady aerodynamics and aeroacoustics of advanced air mobility configurations, which includes drones, urban air mobility vehicles and regional aircrafts. The primary approach lies in the use of advanced experimental measurements as well as machine learning techniques, and subsequently, flow and noise control techniques are sought based on bio-inspirations. He has joined a range of UK- and EU-funded projects (ENODISE, INDIGO, ADEPT, etc.) on urban air mobility and future flights with the focus to diagnose the noise characteristics of these novel electric propulsors in complex configurations (e.g., multi-rotors).
He is now actively looking at how to more efficiently utilise datasets from different facilities and sources (experimental and numerical) and different levels of fidelity to allow more accurate modelling and prediction using data-driven approach.