Dimitris Drikakis

University of Nicosia — CY

Engineering · Physical Sciences

57h-index10.3kcitations488works5.42yr avg
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Research Topics

Computational Fluid Dynamics and Aerodynamics(194), Fluid Dynamics and Turbulent Flows(186), Gas Dynamics and Kinetic Theory(63), Aerodynamics and Acoustics in Jet Flows(56), Lattice Boltzmann Simulation Studies(46)

Publications488 total

Flow and heat transport effects from urban greening in a metropolitan environment
Physics of Fluids·2026
SUN: Stochastic UNsupervised Learning for Data Noise and Uncertainty Reduction
Applied Sciences·2025Open Access
Forecasting chaos: AI-enhanced prediction of indoor climate dynamics
Expert Systems with Applications·2025
Advancing fluid flow simulation through low-dissipation shock and vortex-resolving methods
Physics of Fluids·2025· 1 cited
When less is more: Sample-aware pruning of uninformative features improves neural-network regression
Neurocomputing·2025· 1 cited
Reconstructing turbulence: A deep learning–enhanced interpolation approach
Physica D Nonlinear Phenomena·2025· 2 citedOpen Access
Quantifying human-centric uncertainty in aircraft maintenance
The Aeronautical Journal·2025
Vector quantization variational autoencoder for turbulent flow images
Physics of Fluids·2025
Air circulation effects on airborne particles aboard cruise ships
Physics of Fluids·2025· 1 cited
High-speed fluid–structure interaction predictions using a deep learning transformer architecture
Physics of Fluids·2025· 5 cited
A review of deep learning for super-resolution in fluid flows
Physics of Fluids·2025· 10 cited
Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index
Applied Sciences·2025· 3 citedOpen Access
Artificial intelligence forecasting and uncertainty analysis of meteorological data in atmospheric flows
Physics of Fluids·2025· 2 cited
Overcoming the hyposonic limit of the compressible Navier–Stokes equations in turbulent flow simulations
Physics of Fluids·2025· 6 cited
Advancing super-resolution of turbulent velocity fields: An artificial intelligence approach
Physics of Fluids·2025· 5 cited
The corridor effect in droplet and aerosol pathogens transmission
Physics of Fluids·2025· 2 cited
A New Paradigm for Scientific Computing: Accelerated Algorithm Development With Large Reasoning Models
IEEE Access·2025Open Access
Informers for turbulent time series data forecast
Physics of Fluids·2025· 6 cited
Advancing understanding of indoor conditions using artificial intelligence methods
Physics of Fluids·2025· 5 cited
Spatiotemporal super-resolution forecasting of high-speed turbulent flows
Physics of Fluids·2025· 11 cited
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Frequent Co-authors

Ben Thornber(10), D. L. Youngs(8), R. J. R. Williams(7), Talib Dbouk(4), Andrew Mosedale(4), Panagiotis Tsoutsanis(4), Ioannis W. Kokkinakis(4), В. А. Титарев(3), Marco Hahn(3), Evgeniy Romenski(3), Philip T. Barton(3), Nikolaos Asproulis(3), S. Michael Spottswood(2), D. Kh. Ofengeĭm(2), M. Kalweit(2), Michael Frank(1), Vassilis Charissis(1), William J. Rider(1), Christer Fureby(1), Fernando F. Grinstein(1)