Dr. Mahdi Farnaghi

Assistant Professor

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Biography

Mahdi Farnaghi is an Assistant Professor at the University of Twente in the Faculty of Geo-Information Science and Earth Observation (ITC), specializing in Geo-Information Processing. He holds a Ph.D. degree and has extensive research experience in artificial intelligence (AI) applications in geodata processing, commonly referred to as GeoAI. His work focuses on leveraging semantic web technologies to automate geodata processing workflows and has expanded to spatial data science and big data processing using machine learning (ML) techniques for applications in environmental monitoring, disaster management, and spatial epidemiology. Additionally, he employs deep learning (DL) methods to extract insights from large volumes of spatial data related to environmental phenomena. His current research interests include the integration of new technologies such as blockchain within the geospatial domain for enhanced security and accountability, as well as exploring advancements in large language models (LLM), multimodal LLMs, MLOps for the automation of geoprocessing workflows, eXplainable Artificial Intelligence (XAI), and the modeling of spatial and spatiotemporal effects using ML and DL techniques.

Research Interests

Experience

Assistant Professor

— Present

University of Twente • Enschede, Netherlands

Teaching and researching in the field of Geo-Information Science, focusing on artificial intelligence applications in geodata processing.

Courses

Scientific Geocomputing Big Geodata Processing Geospatial Sciences

Requirements for University of Twente

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
GMAT
Total Score
Required:600
Overall
Required:600
GRE General
Verbal
Required:143
Verbal Percentile
Required:25
Quantitative
Required:155
Quantitative Percentile
Required:60
Analytical Writing
Required:3
Writing Percentile
Required:25
Prerequisites
Bachelor of Science in a related field Knowledge of Statistics and Probability Knowledge of Mathematics Specialization-related topics: Operation Research, Simulation, Financial topics
Application Checklist
  • Transcript of records
  • Copy of diploma
  • Motivation letter
  • Resume (Europass format)
  • Course descriptions of relevant courses
  • English summary of thesis
Specialization Notes

Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.