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Dr. Nikolas Makasis

Dr. Nikolas Makasis

Research Associate

Topic: Modelling and Uncertainty Quantification of Underground Climate

Supervisor: Dr. Ruchi Choudhary


Having a background in engineering (civil) and computer science, I am passionate about applying computational, statistical and data-driven solutions to real world problems. My work currently focuses on the numerical modelling of the underground, incorporating the governing equations for heat transfer and fluid flow to simulate the long term effects of urbanisation, as well as on the identification of underground archetypes that can be used to characterise areas with similar underground features. My research aims to contribute towards better understanding how to utilise the resources of our world in a sustainable way.

Prior to joining Cambridge, I have been a Research Engineer within the department of Infrastructure Engineering at the University of Melbourne, where I completed my PhD studies in early 2019, my thesis titled: "Further understanding ground-source heat pump system design using finite element methods and machine learning techniques"


Key Publications

Research Interests

  • Numerical Modelling (multi-physics)
  • Machine learning & predictive models
  • Data science & statistical approaches
  • Heat transfer & shallow geothermal energy applications
  • Learning analytics