
Mr Georgios Sarailidis
MSc, BSs (Meng)
Expertise
My expertise is on flood risk modelling and on uncertainty quantification and attribution. I currently work as a catastrophe modelling knowledge transfer partnership associate for the University of Bristol and JBA Risk Management
Current positions
KTP Associate
School of Civil, Aerospace and Design Engineering
Contact
Press and media
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team:
Biography
I've studied Civil Engineering at the University of Thessaly in Greece and went on to complete a MSc in Management of Hydro-Meteorological extremes at the University Grenoble Alpes and the University of Thessaly. I hold a PhD Degree in Water informatics and Engineering from the University of Bristol, where my research focused on uncertainty quantification and attribution in flood risk modelling.
I currently work as a knowledge transfer partnership associate for the University of Bristol and JBA Risk Management. The focus of my work is on uncertainty and sensitivity analysis of flood catastrophe models.
I currently work as a knowledge transfer partnership associate for the University of Bristol and JBA Risk Management. The focus of my work is on uncertainty and sensitivity analysis of flood catastrophe models.
Projects and supervisions
Research projects
Knowledge Transfer Partnership with JBA Risk Management
Principal Investigator
Role
Researcher
Description
The project is a Knowledge Transfer Partnership with JBA Risk Management (www.jbarisk.com) to embed uncertainty and sensitivity analysis functionalities into their Global Flood Modelling capabilities. The new features will allow…Managing organisational unit
School of Civil, Aerospace and Design EngineeringDates
01/03/2023 to 31/08/2025
Publications
Recent publications
15/10/2022Integrating scientific knowledge into machine learning using interactive decision trees
COMPUTERS & GEOSCIENCES
Thesis
Uncertainty quantification and attribution in flood risk modelling
Supervisors
Award date
20/06/2023