I am an Assistant Professor at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Geo-Information Processing (GIP), Enschede, The Netherlands.

My primary research interest has been in the intersection of artificial intelligence (AI) and geodata processing (or GeoAI, in short). During Ph.D., I worked on solutions based on semantic web concepts/technologies and AI to generate geodata processing workflows automatically. After the Ph.D., I extended my research further into the spatial data science and big data processing fields, where I have been using machine learning (ML) for spatiotemporal modelling in different application areas, including environmental monitoring, analysis and assessment, disaster management, and spatial epidemiology. I exploited big data processing technologies and deep learning (DL) methods to extract information from the massive amount of spatial data collected for environmental phenomena. I have also been working on geospatial social media analysis using Natural Language Processing (NLP) methods. I am interested in exploiting new technologies like blockchain and distributed ledgers to tackle the need for security and accountability in the geospatial domain.

Currently, I am working in the following directions:

-          Large Language Models (LLM) and Multimodal LLMs (MLLM)

-          MLOps and automation of geoprocessing workflows

-          eXplainable Artificial Intelligence (XAI)

-          Spatial and spatiotemporal effects in modeling using ML/DL

-          Spatial data fusion

Organisations

Publications

2025

Integrating RS data with fuzzy decision systems for innovative crop water needs assessment (2025)International Journal of Applied Earth Observation and Geoinformation (JAG), 136. Article 104338. Sadat Hashemi, F., Javad Valadan Zoej, M., Youssefi, F., Li, H., Shafian, S., Farnaghi, M. & Pirasteh, S.https://doi.org/10.1016/j.jag.2024.104338

2024

Facilitating African-European R&D Partnership in Earth Observation Through Collaborative Research: EO AFRICA R&D Research Calls (2024)[Dataset Types › Dataset]. Zenodo. Girgin, S., Vekerdy, Z., Farnaghi, M. & Chavarro-Rincón, D.https://doi.org/10.5281/zenodo.13833824Software. Reproducible results. Integrating agent-based disease, mobility, and wastewater models: Dealing with differences in spatiotemporal resolutions (2024)[Dataset Types › Dataset]. Zenodo. DelaPaz-Ruíz, N., Augustijn, E.-W., Farnaghi, M., Abdulkareem, S. A. & Zurita-Milla, R.https://doi.org/10.5281/zenodo.13734542Comparative Evaluation of XAI Methods for Transparent Crop Yield Estimation Using CNN (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 7478-7482). Article 10641426. IEEE. Venugopal, A., Farnaghi, M. & Zurita-Milla, R.https://doi.org/10.1109/IGARSS53475.2024.10641426Best scanline determination of pushbroom images for a direct object to image space transformation using multilayer perceptron (2024)Remote sensing, 16(15). Article 2787. Nezhad, S. S. A., Zoej, M. J. V., Khoshelham, K., Ghorbanian, A., Farnaghi, M., Jamali, S., Youssefi, F. & Gheisari, M.https://doi.org/10.3390/rs16152787Modeling spatiotemporal domestic wastewater variability: Implications for measuring treatment efficiency (2024)Journal of environmental management, 351. Article 119680. DelaPaz-Ruíz, N., Augustijn, E.-W., Farnaghi, M. & Zurita-Milla, R.https://doi.org/10.1016/j.jenvman.2023.119680

Research profiles

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2023/2024

Address

University of Twente

Langezijds (building no. 19), room 1338
Hallenweg 8
7522 NH Enschede
Netherlands

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