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Ioannis N. Athanasiadis

Professor in Artificial Intelligence and Data Science at Wageningen University & Research

Areas of expertise

  • - Data science
  • - Machine Learning
  • - Artificial intelligence (AI)
  • - Environmental informatics
  • - Digital twins
  • - Semantics
  • - Decision support systems
  • - Spatial data
  • - Precision agriculture

Major works

Courses and Programs taught by dr.prof. Iannis N. Athanasiadis

Publications by dr.prof. Iannis N. Athanasiadis

Big data in agriculture: Between opportunity and solution

Osinga, S. A., Paudel, D., Mouzakitis, S. A. & Athanasiadis , I. N., Jan 2022, In: Agricultural Systems 195, 103298.

Machine learning for regional crop yield forecasting in Europe

Paudel, D., Boogaard, H., de Wit, A., van der Velde, M., Claverie, M., Nisini, L., Janssen, S., Osinga, S. & Athanasiadis , I. N., 1 Feb 2022, In: Field Crops Research. 276, 108377.

Simulation-assisted machine learning for operational digital twins

Pylianidis, C., Snow, V., Overweg, H.,Osinga, S., Kean, J. & Athanasiadis, I.N. , Feb 2022, In: Environmental Modeling and Software. 148, 105274.

Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability

Kamilaris, A. (ed.), Wohlgemuth, V. (ed.), Karatzas, K. (ed.) & Athanasiadis, I.N. (ed.), 2021, in: Springer International Publishing. 270 p. (Progress in IS)

Comparing machine learning metamodels of different scale for pasture nitrogen response rate prediction

Pylianidis, C., Snow, V., Overweg, H. C. & Athanasiadis, I.N. , Apr 2021.

Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components

Midingoyi, C. A., Pradal, C., Enders, A., Fumagalli, D., Raynal, H., Donatelli, M., Athanasiadis, I.N. , Porter, C., Hoogenboom, G., Holzworth, D., Garcia, F., Thorburn, P. & Martre, P., 2021, In: Environmental Modelling and Software. 142, 105055.

Projects by dr.prof. Ioannis Athanasiadis

Social links

About me

Ioannis N. Athanasiadis is a Professor of Artificial Intelligence and Data Science at Wageningen University and Research, in the Netherlands. He investigates the enabling role of artificial intelligence for understanding nature, and big data science applications that relate to environment, agriculture, food and the quality of life. His expertise lies with machine learning, big data, and knowledge engineering.

He has extensive experience leading collaborative, interdisciplinary research projects. He has contributed more than 100 scientific papers related to the science of information in environmental sciences, and have received several awards for as a teacher, researcher and mentor, by iEMSs, IEEE, ACM, SISO, Elsevier, and the Greek Ministry of Defence.

He has contributed actively to the organization of several international conferences, academic workshops, student groups, and capacity-building programs in the developing world. He currently leads the WUR theme on data-driven discoveries in a changing climate.