MR Nikolas Makasis

MR Nikolas Makasis


  • Learning analytics (machine learning, education, learning management system, data analytics)
  • Machine learning in engineering problems (machine learning, engineering applications, prediction models)
  • Shallow geothermal systems & energy geo-structures (ground heat exchangers, numerical modelling, ground source heat pumps, heating and cooling, renewables)



  • Nikolas Makasis is a Research Engineer within the department of Infrastructure Engineering, joining shortly after completing his PhD studies in early 2019. His main research interest include numerical modelling of engineering problems, specifically around heat transfer, shallow geothermal systems & energy geo-structures, the application of machine learning techniques in engineering applications and learning analytics. Nikolas has a background in both engineering (civil) as well as computer science and is passionate about applying computational, statistical and data-driven solutions to real world problems.   


Selected publications



Education and training

  • PhD, University of Melbourne 2019
  • MSc, Imperial College London 2014
  • MEng, Imperial College London 2013

Awards and honors

  • Geotechnical Group Travel Scholarship, The University of Melbourne, 2018
  • Melbourne International Fee Remission Scholarship, The University of Melbourne, 2014
  • Melbourne International Research Scholarships, The University of Melbourne, 2014
  • Departmental Scholarship for MSc in Computing Science, Imperial College London, 2013
  • Engineering Dean's List Top 10%, Imperial College London, 2013
  • Certificate of Excellence in recognition for best Master of Engineering research project in Infrastructure Engineering, University of Melbourne, 2013
  • ABS Consulting Award (Structural Dynamics and Earthquake Engineering), ABS Consulting & Imperial College London, 2013



Available for supervision

  • Y

Supervision Statement

  • Co-supervision with A/Prof. Narsilio Please have a look at: