Imperial College London

Dr Alexandros Avdis

Faculty of EngineeringDepartment of Earth Science & Engineering

Research Associate



a.avdis Website CV




4.89Royal School of MinesSouth Kensington Campus





I work as a research associate on Computational Fluid Dynamics in the Department of Earth Science and Engineering of Imperial College London. I am passionate about creating and applying sophisticated computational platforms for understanding fluid dynamics and solving complex problems.

I enjoy working with interdisciplinary teams across Aerospace, Chemical and Civil Engineering and collaborate with Scientists and Mathematicians in industrial, research and educational contexts. I am active in outreach and communication via publishing in highly-regarded journals and creating technical documentation. My work has focused on Turbulent Boundary Layers and their separation from highly loaded aerodynamic surfaces, atomisation and droplet entrainment in two-phase flows, and Tidal Renewable Energy.

Beyond my core expertise, I am active in the development of projects in complementary areas, adopting modern methods and expanding towards Machine Learning and Cloud Computing technologies. My approach to Computational Science and Engineering is exemplified by projects that I lead: (a) The qmesh mesh generator, (b) Techniques for processing, analysing and managing the vast amount of data that modern numerical frameworks produce, such as the gitRDM and PyRDM packages.

Current position:

(Since Jan. 2011) Research Associate in Computational Fluid Dynamics. Department of Earth Science and Engineering, Imperial College London 

Previous positions:

(Dec. 2009 - Dec. 2010) Research Associate in CFD of turbulent two-layer flows with atomization. Department of Chemical Engineering and Chemical Technology. Imperial College London. 

(2008-2009) National Service.


(Jan. 2003- Jan. 2008) PhD (DIC) in Computational Fluid Dynamics. Department of Aeronautics, Imperial College (University of London). Thesis title: “Large Eddy Simulation of Synthetic Jets in the Context of Flow Control”. 

(2001-2002) MSc (DIC) in Advanced Computational Methods in Aeronautics, Flow Management and Flow–Structure Interaction. Department of Aeronautics, Imperial College (University of London). Dissertation title: “Numerical Investigation of Turbulent Perturbed Flow over a Backwards Facing Step”.

(1997-2001) BEng (Honours, 1st class, with a year in industry) in Mechanical Engineering. Kingston University.



Baker AL, Craighead RM, Jarvis EJ, et al., 2020, Modelling the impact of tidal energy on species communities, Ocean and Coastal Management, Vol:193, ISSN:0964-5691

Dean CD, Collins DS, van Cappelle M, et al., 2019, Regional-scale paleobathymetry controlled location, but not magnitude, of tidal dynamics in the Late Cretaceous Western Interior Seaway, USA, Geology, Vol:47, ISSN:0091-7613, Pages:1083-1087

Collins D, Alvdis A, Allison P, et al., 2018, Controls on tidal sedimentation and preservation: insights from numerical tidal modelling in the late oligocene–miocene South China sea, Southeast Asia, Sedimentology, Vol:65, ISSN:0037-0746, Pages:2468-2505


Goss ZL, Piggott MD, Kramer SC, et al., 2019, Competition effects between nearby tidal turbine arrays—optimal design for alderney race, Pages:255-262

More Publications