dr. M. Farnaghi (Mahdi)

Assistant Professor

About Me

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

My primary research interest has been in the intersection of artificial intelligence (AI) and geodata processing (or GeoAI, in short). During PhD, I worked on solutions based on semantic web concepts/technologies and AI to generate geodata processing workflows automatically. After the PhD, I extended my research further into the spatial data science and big data processing fields, where I have been using machine learning (ML) techniques for spatio-temporal modelling in different application areas, including air pollution monitoring and forecasting, spatial epidemiology, and disaster management. 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 ML methods and 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:

-          Spatial and spatio-temporal effects in modelling using ML/DL

-          Deep learning for spatio-temporal modelling

-          eXplainable Artificial Intelligence (XAI)

-          Spatial data fusion

-          MLOps and automation of geoprocessing workflows

-          Spatial data handling on blockchains and distributed ledgers


Aturinde, A. , Farnaghi, M., Pilesjö, P., Sundquist, K., & Mansourian, A. (2021). Spatial analysis of ambient air pollution and cardiovascular disease (CVD) hospitalization across Sweden. GeoHealth, 5(5), 1-20. [e2020GH000323]. https://doi.org/10.1029/2020gh000323
Faramarzi, H., Hosseini, S. M., Pourghasemi, H. R. , & Farnaghi, M. (2021). Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation. Journal of Forest Science, 67(2), 87-100. https://doi.org/10.17221/50/2020-JFS
Yousefzadeh, M., Hosseini, S. A. , & Farnaghi, M. (2021). Spatiotemporally explicit earthquake prediction using deep neural network. Soil Dynamics and Earthquake Engineering, 144, 1-11. [106663]. https://doi.org/10.1016/j.soildyn.2021.106663
Farnaghi, M., Ghaemi, Z., & Mansourian, A. (2020). Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence. International Journal of Disaster Risk Science, 11, 378-393. https://doi.org/10.1007/s13753-020-00280-z

UT Research Information System

Courses Academic Year  2022/2023

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  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75)
Hengelosestraat 99
7514AE  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
P.O. Box 217
7500 AE Enschede
The Netherlands

Social Media