Dr. M. Farnaghi | People Pages: Find employees & contact details

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

Fine-tuning LLMs for spatial analysis and modeling: An initial step (2025)[Contribution to conference › Poster] ICT.OPEN 2025. Garcia Chapeton, G. A. & Farnaghi, M.Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance (2025)Science of the total environment, 968. Article 178889. DelaPaz-Ruíz , N., Augustijn, P. W. M., Farnaghi, M., Abdulkareem, S. A. & Zurita-Milla, R.https://doi.org/10.1016/j.scitotenv.2025.178889Software. Reproducible results. Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance (2025)[Non-textual form › Software]. Zenodo. DelaPaz-Ruíz, N., Augustijn, E.-W., Farnaghi, M., Abdulkareem, S. A. & Zurita-Milla, R.https://doi.org/10.5281/ZENODO.14883767Software. Reproducible results. Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance (2025)[Dataset Types › Dataset]. Zenodo. DelaPaz-Ruíz, N., Augustijn, E.-W., Farnaghi, M., Abdulkareem, S. A. & Zurita-Milla, R.https://doi.org/10.5281/zenodo.14883767Integrating 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.2024.104338Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases (2025)Geospatial health, 20(1). Article 1326. DelaPaz-Ruíz , N., Augustijn, P. W. M., Farnaghi, M., Abdulkareem, S. A. & Zurita-Milla, R.https://doi.org/10.4081/gh.2025.1326Dynamic occupancy rate for shared taxi mobility-on-demand services through LSTM and PER-DQN (2025)International journal of intelligent transportation systems research. Javaherian Pour, E., Mesgari, M. S. & Farnaghi, M.https://doi.org/10.1007/s13177-024-00455-8

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/IGARSS53475.2024.10641426

Research profiles

Courses academic year 2025/2026

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 2024/2025

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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