Professor Georgia (Gia) Destouni, member of Digital Futures Faculty, distinguished for her work on the interplay of hydrology and water resources with climate and other environmental changes using AI/ML-powered approaches, has added yet another honour to her renowned career. Following her fellowship at the Stellenbosch Institute for Advanced Study in South Africa, she has now been elected as a corresponding member (applicable to Greek scientists active abroad) of the prestigious Academy of Athens in Greece.
The announcement, was made through an official press release by the Academy of Athens. Her election to the Chair of “Hydrology” within the Academy’s First Section of Sciences underscores her contributions to the field.
– I am very happy and deeply honoured by this recognition, in my birth country, of my contributions to water and climate science, which have been increasingly and now largely based on digital transformation approaches and tools, says Gia Destouni.
With a rich academic background including a PhD from the KTH Royal Institute of Technology in Sweden, Prof. Destouni has earned international recognition for her research spanning hydroclimate, water resource management, and environmental sustainability. Her membership in esteemed institutions like the Royal Swedish Academy of Sciences and the US National Academy of Engineering attests to her eminence in the scientific community. Gia’s diverse leadership roles and numerous accolades exemplify her dedication to advancing knowledge and addressing pressing challenges in water and climate science using digital transformation approaches and tools.
More articles with Gia Destouni:
- Gia Destouni is elected to the US National Academy of Engineering and leads a groundbreaking research project on African freshwater systems
- King’s medal to Digital Futures faculty member Professor Georgia Destouni
- Use of AI and ML can drive new knowledge about how the Earth system works
- One Earth – Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff Graphical
