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Durham University

Research & business

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Dr Lian Gan, PhD (Cantab), HFEA

Associate Professor in the Department of Engineering
Telephone: +44 (0) 191 33 42438
Room number: E208A (Christopherson)

(email at lian.gan@durham.ac.uk)

Lian obtained his BEng (UK MEng equivalent) degree from National University of Singapore, major in Mechanical Engineering (aeronautics), minor in Material Science and Engineering. This degree is supported by full-scholarship from Singapore government. He then obtained his PhD degree from University of Cambridge, Department of Engineering, fluid mechanics group on experimental investigation of pulsatile turbulent flows. 

He has been an experimentalist with more than ten years of research experience in pulsatile and periodic vortex dynamics, flow-structure interactions and other inhomogeneous high Reynolds number turbulent flows. The main objective is to develop accurate techniques to non-invasively measure and model the coherent vortex structures in these flow problems and therefore to improve our fundamental understandings in the physical process governing the evolution of these flow structures, from which to help seek an optimal way to control the scalar mixing and momentum delivery in applications from industrial to biomechanical flows.

Dr Gan is also an active developer of laser-based experimental techniques for laboratory flow measurements. He contributed in developing the Cambridge University version of Tomographic Particle Image Velocimetry (TomoPIV, a volumetric non-invasive flow field measurement technique). He also developed other techniques including a stereo-scanning PIV to resolve volumetric turbulent flow fields at high spatial resolution and recently a novel technique to simultaneously resolve velocity field and the scalar interface applicable for liquid and gas phase inhomogeneous turbulent flows. 

In recent years his research interest has extended to the application of data assimilation in inhomogeneous turbulent flows, a technique to optimise experimental measurement and computational flow modelling (RANS and LES) and machine learning application to experimental technique development, as well as the understanding the role of pulsatile vortex dynamics in human cardiac flows using data collected by 4D Flow Magnetic Resonance scanning with collaboration with physicists and cardiologists.

Lian is taking PhD students. The annual university studentship application usually opens in late October and closes in early January. 

Research Groups

Department of Engineering

Research Interests

  • Pulsatile and periodic flow dynamics, flow-structure interaction
  • Flow measurement technique development and applications
  • Experimental and computational fluid mechanics in biomedical applications

Selected Publications

Chapter in book

Journal Article

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Supervises