ABOUT US
Participating European research institutes and colleagues
The AETHER consortium brings together a diverse and complementary group of European research institutions, combining leading expertise in Earth Observation, artificial intelligence, climate science, agriculture, biodiversity, and urban sustainability. Together, we aim to pioneer transparent and trustworthy AI solutions for high-impact environmental applications.
Wageningen University and Research
Wageningen Research

Maciej Soja
Sr. Researcher
Principal investigator and project manager

Arun Pratihast
Sr. Data Scientist
Co-PI and Lead WP 300 (Use case data preparation)

Rob Knapen
Principal Research Engineer – AI for Agriculture
Lead WP100, WP210, WP510 AI methodology and prototype development

Parveen Kumar
Sr. Researcher
Case study UHI (WP300 and
WP400)

Manual Winograd
Sr. Researcher in vulnerability and adaptation assessment, scenarios and indicators
Case study UHI (WP300 and WP 400)

Inder Kumar
Researcher in Digital Business Innovations
Lead WP600 Communication and Dissemination

Domantas Giržadas
Software Engineer
Contributor WP100: Overview of the State-Of-The-Art
Wageningen University

Ioannis Athanasiadis
Professor and Chair of Artificial Intelligence
Lead WP200

Thijs van der Plas
Post doctoral researcher
Lead AI development (WP200) and lead biodiversity use case (WP310).

Gabrielė Tijūnaitytė
Research Engineer
Main Contributor – Explainable AI Model Development (WP200)
Climate and Environmental Research Institute (NILU)

Stefan Jetschny
Senior Scientist,
Machine learning
scientist
Lead WP500

Mirjam F. Fredriksen
Senior System
Developer
Main contributor to
WP500

Mohamed-Bachir Belaid
Senior Scientist
Contributor to
WP200, WP500
Linköping University

Madelene Ostwald
Senior associate
professor
Lead WP 400 (validation)

Martin Karlson
Associate professor
WP 300 (crop yield
data preparation)
and WP 400
(validation)
University of Krakow

Piotr Wężyk
Dr., professor URK
Lead of WP 330 &
WP 430- Urban
Heat Islands (UHI)
- Data preparation
& validation

Paweł Netzel
Dr., professor URK
WP 330 & WP 430
UHI – data contributor & validation

Tomasz Zaleski
Dr., professor URK
WP 330 & WP 430
UHI – data contributor & validation

Paweł Hawryło
Ph.D. - adjunct
WP 330 & WP 430
– data contributor
& validation

Wojciech Krawczyk
M.Sc., Ph.D. Student
WP 330 & WP 430
data preparation &
validation WP430
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AETHER Project
Advancing the field of Artificial Intelligence for Earth Observation by developing innovative explainable AI approaches that increase transparency, trust, and usability of AI models for real-world environmental applications.