Institute for Advanced Modelling and Simulation

Institute for Advanced Modelling and Simulation

The Institute for Advanced Modelling and Simulation (IAMS) is dedicated to developing models and simulation capabilities that combine computational science, applied mathematics, physics and engineering science. The modelling and simulation methods include Machine Learning, Deep Learning and Artificial Intelligence, high-resolution and high-order methods for fluid dynamics, acoustics, and heat transfer, uncertainty quantification and other. We apply these models to diverse applications such as Defence, Medical, Aerospace, Energy, and Environment.

IAMS collaborates with many international academic and industrial partners, e.g., Air Force Research Laboratories (AFRL) of the US Air Force (USAF), ETH Zurich, and University of Rouen-Normandy (France).

IAMS’ research aims to advance the science and engineering in the above areas, as well as to provide advice to industry, governments and the international community for important technological and scientific issues ranging from virus transmission to artificial intelligence and from environmental pollution to advanced defence systems.

Professor Dimitris Drikakis
President, Institute for Advanced Modelling and Simulation (IAMS)
Vice President, Global Partnerships
University of Nicosia

Featured

On Respiratory Droplets and Face Masks

Atmospheric Pollution from Rockets

Modelling and Simulation Methods

  • Machine Learning, Deep Learning and Artificial Intelligence

  • High-resolution and high-order methods for fluid dynamics, acoustics, and heat transfer

  • Advanced meshing methods for complex geometries

  • Uncertainty quantification

  • Computational Intelligence

Diverse applications

Examples of recently funded projects

  • Machine Learning and Deep Learning for

    • Aerospace and Defence
    • Disease transmission
  • Artificial Intelligence methods for Mental Health

  • Simulations and Analysis of High-Speed Flows and Acoustics

  • Noise due to turbulence

  • Unmanned Vehicles

  • Drones’ acoustics

  • Virus transmission