Ian Milne


  • The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth


  • Source: Scopus
  • Calculated using citation counts from Scopus for publications in the UWA Profiles and Research Repository
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Personal profile


Dr Milne is a Senior Research Fellow within the ITRH for Offshore Floating Facilities. His wide ranging research interests include wave-structure hydrodynamics, turbulence and metocean engineering for offshore oil and gas, renewables and shipping, encompassing theoretical, numerical, model-scale, field data and machine learning methods. He has a strong track-record in industry collaboration and engagement and during his tenture at UWA has also developed and delivered new units on wind energy. He received his PhD in Mechanical Engineering at The University of Auckland and has worked within both academia and industry, including holding the roles of Senior Metocean Engineer at Woodside Energy and Mechanical Engineer at Aker Solutions.

Roles and responsibilities

  • International Marine Energy Journal Associate Editor
  • International Journal of Marine Energy Editorial Board
  • 20th AFMC Organising Committee and Session Chair
  • 2018 Australian Ocean Renewable Energy Symposium Organising Committe
  • Supervisor for Masters these projects in ship hydrodynamics and mooring systems
  • Supervisor for PhD theses in unsteady hydrodynamics of pipelines, statistical prediction of metocean and ship motions, novel low-cost sensing.

Funding overview

  • Maximising the impact of UWA's offshore floating structure research - enhancing WA's position as a global offshore engineering hub
    Milne, I. & Zhao, W.
    UWA Research Impact Grants
  • Fluid resonance in the gap between two side‐by‐side offshore floating structures with square bilges
    Zhao, W., Draper, S., Milne, I., White, D. & Wolgamot, H.

Current projects

  • ITRH for Offshore Floating Facilities
  • Woodside FutureLab RiverLab - Hydrodynamics and mooring systems for FPSOs.
  • CEED with Austal - Hydrodynamics and machine learning for marine craft


  • Hydrodynamics of FLNG carriers and FPSOs, focussing on roll damping and wave-structure interaction.
  • Field data acquisition of motions of floating facilities (FPSOs, Drillships)
  • Numerical modelling and machine learning of FPSO mooring line system dynamics and failure prediction.
  • Computation of directional wave spectra from ship motions.
  • Metocean analyses using experimental and numerical methods
  • Turbulence in tidal farms and distortion effects
  • Unsteady aero/hydrodynamics of wind and tidal turbines and airfoils

Community engagement

RINA Western Australian Division Committee

Education/Academic qualification

Mechanical Engineering, PhD, The University of Auckland

Award Date: 1 Apr 2014


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