Projects

The following list represents a selection of projects belonging to our researchers.

Recruiting — indicates projects currently recruiting research students. Visit our Study website for PhD program and application information.

• Materials informatics: an intelligent multiscale materials simulation tool for accelerated formulation and in-service life prediction of specialised coatings for defence platforms Recruiting

  Team: Ellie Hajizadeh

• High-fidelity simulations and machine-learning for turbomachinery flows

  Team: Richard Sandberg

• Simulation of bio-inspired aerofoil noise reduction techniques

  Team: Richard Sandberg

• Methods to improve maritime energy efficiency Recruiting

  Team: Chris Manzie

• A versatile framework for simulating the structure and dynamics of cytoskeletal networks Recruiting

  Team: Ellie Hajizadeh

• Programmable mechanical metamaterials for soft robotics

  Team: Ellie Hajizadeh

• Materials informatics: an intelligent multiphysics multiscale computational tool for autonomous in-service life management of fibre-reinforced polymer composite aircraft structures

  Team: Ellie Hajizadeh

• Soft matter informatics: intelligent computational material simulation tool for polymer-colloid assemblies Recruiting

  Team: Ellie Hajizadeh

• Combustion chemistry of hydrogen-natural gas mixtures Recruiting

  Team: Yi Yang

• Decarbonising the transport sector with renewable hydrogen Recruiting

  Team: Yi Yang

• Decarbonising transport with ammonia fuels Recruiting

  Team: Yi Yang

• Using renewable hydrogen in gas turbines Recruiting

  Team: Yi Yang

• Computational fluid dynamics simulations of a stratified gravity current Recruiting

  Team: Andrew Ooi

• Computational materials engineering of novel high-temperature materials for turbines Recruiting

  Team: Christian Brandl

• Hydrogen embrittlement in alloys Recruiting

  Team: Christian Brandl

• Lab-on-a-chip, organ-on-a-chip and disease-on-a-chip technologies Recruiting

  Team: David Collins, Vini Gautam

• The effect of non-homogeneous roughness on full-scale drag predictions Recruiting

  Team: Nicholas Hutchins, Jason Monty, Kevin Kevin

• Turbulent plumes with particles in a stratified environment Recruiting

  Team: Jimmy Philip

• Multiscale computational nanofluidics Recruiting

  Team: Ellie Hajizadeh

• Soft matter informatics: inverse design engine for block co-polymers Recruiting

  Team: Ellie Hajizadeh

• Computational turbulent fluid flow Recruiting

  Team: Daniel Chung, Nicholas Hutchins

• Numerical prediction of bubble sound emissions Recruiting

  Team: Andrew Ooi

• Operational Excellence in the fourth industrial revolution era Recruiting

  Team: Guilherme Tortorella

• Active matter: a multiscale simulation method for advanced swimmers Recruiting

  Team: Ellie Hajizadeh

• Mechanical response of subchondral bone to fatigue loading Recruiting

  Team: Fatemeh Malekipour, Peter Lee

• The cost of roughness: predicting the drag penalty of fouled ship hulls Recruiting

  Team: Nicholas Hutchins, Jason Monty, Bagus Nugroho

• Cardiac cell mechanobiology

  Team: Vijayaraghavan Rajagopal

• Nanoscale computational engineering of interfaces in alloys

  Team: Christian Brandl

• Interaction of convection and horizontal gyre circulation in the North Atlantic Current

  Team: Bishakhdatta Gayen

• Melting of Antarctic ice shelves into polar ocean

  Team: Bishakhdatta Gayen, Jimmy Philip, Jason Monty

• Applying machine-learning approaches to develop novel turbulence models

  Team: Richard Sandberg, Andrew Ooi

• Acoustic engineering: microfabrication of acoustic waveguides for non-contact microscale assembly Recruiting

  Team: David Collins

• An ICME framework for designing sintered materials

  Team: Tesfaye Molla

• Novel mechanisms for continuous micro/nanoparticle manipulation Recruiting

  Team: David Collins

• Turbulent transport in rotating and stratified flows

  Team: Joseph Klewicki, Jimmy Philip

• Deep interpretable neural networks

  Team: Saman Halgamuge

• Supercapacitor and battery design through modelling and machine learning

  Team: Dan Li

• Pattern recognition algorithms for the analysis of metagenomes Recruiting

  Team: Saman Halgamuge

• Smart grid optimization using forecasting, multiple renewable technologies and energy storage

  Team: Saman Halgamuge, Guillermo Narasilio

• Enabling efficient, affordable and robust use of renewable hydrogen in transport and power generation

  Team: Michael Brear, Yi Yang, Robert Gordon, Mohsen Talei, Joshua Lacey, Zhewen Lu

• Optimization landscapes and evolutionary designs

  Team: Saman Halgamuge, Michael Kirley (Computing and Information Systems), Guillermo Narsilio (Infrastructure Engineering)

• Experiments and data analysis of non-equilibrium turbulent boundary layers Recruiting

  Team: Joseph Klewicki, Jimmy Philip, Spencer Zimmerman, Ivan Marusic