My team

Current team members

PhD students

• Jetske Bonenkamp (2024-). Area: Artificial Intelligence for tracking the politics of climate change adaption
• George Marinos (2023-). Area: Enhancing agri-food systems through Artificial Intelligence: Utilizing food safety-related data for intelligent decision-making and risk management
• Eva van Tegelen (2023-). Area: Model-based Machine Learning methodologies for identifying and quantifying resilience and tipping points in complex systems.
• Yingjie Shao (2023-). Area: Machine learning for the longitudinal analysis of plant phenotypes.
• Jelmar Versleijen (2023-) Area: Cable and pipeline route planner using layered graph design.
• Aike Potze (2023-). Area: Hybrid artificial intelligence for modelling genotype by environment interactions.
• Hilmy Baja (2022-). Area: Artificial Intelligence for reducing fertilizer and pesticide use.
• Ron van Bree (2022-). Area: Hybrid AI for food security.
• Remy Adriaensen (2022-). Area: Next generation models for predicting canola hybrid seed yield performance in untested environments.
• Ilias Tsoumas (2022-). Area: Artificial intelligence towards sustainable agriculture using space-borne remote sensing data & other heterogeneous data sources.
• Rassoul Sy (2022-). Area: The transformation of agricultural production: impacts on rural livelihoods across sub-Saharan Africa
• Anna Davidson (2022-). Area: Developing digital twins for real-time biodiversity monitoring
• Rob Knapen (2021-). Area: Geospatial data engineering for digital agriculture.
• Gonzalo Mier Muñoz (2021-). Area: Fields2Cover: Robust and efficient coverage paths for autonomous agricultural vehicles
• Matt Scowen (Bangor Univ, 2019-). Area: Machine learning for ecosystem services.
• Christos Giovanopoulos (VU Amsterdam, 2018-). Area: A synergy between anthropology and data science for infrastructural contestation research.

Post-doctoral researchers:

• Dilli Paudel (2023-). Machine learning for agricultural modelling.
• Michiel Kallenberg, (2022-). Digital Future Farm
• Joao Paulo Breda, Input features importance to hydrological indices simulated by land surface models

: Primary supervisor

Former team members

Graduated PhD students

• Christos Pylianidis (2019-2023). Thesis: Operationalizing digital twins digital twins in agriculture with machine learning, then with ING.
• Dilli Paudel (2019-2023). Thesis: Machine learning for regional crop yield forecasting, then a postdoc at WUR!
• Eliana Papoutsoglou (2021). Thesis: Paving the way for FAIR data in plant phenotyping, then with Taxonic.
• Argyris Samourkasidis (2019). Thesis: Environmental timeseries lifecycle in the Internet of Things era: Lowering e-science barriers, then with ING.
• Dimitris Kremmydas, (Agricultural Univ. of Athens, 2018). Thesis: Integrated mathematical programming and agent based model for policy analysis of Greek agriculture , then with EU Joint Research Centre.

Guest PhD students

• Jingye Han Area: Process-guided machine learning for crop growth simulation and yield estimation (Guest PhD, 2022-2023)

Past postdocs:

• Diego Marcos (2019-2021), Explainable AI for nature conservation, then Junior Professor at INRIA.
• Hiske Overweg (2020-2021), Reinforcement learning in Digital Future Farm, then data scientist at i2i
• Dirkjan Schokker (2018-2021), Breed4Food project, then researcher with Wageningen Bioveterinary Research
• Dan Jensen (2017), Big data for cow disease prediction project, then Assist. Prof. at Copenhagen University.