Personal profile


Mohammad Mehrabi received a BSc degree in Civil Engineering from Kermanshah University of Technology in 2018 (Kermanshah, Iran), and an MSc degree in Civil Engineering for Risk Mitigation from Polytechnic University of Milan in 2023 (Milan, Italy ). 
Since 2017, he has conducted research focusing on environmental hazard modeling. Remote sensing and artificial intelligence are two major components of his research for predicting the hazards of various environmental threats. His MSc thesis dealt with war-affected air quality monitoring in Ukraine using Sentinel-5P imagery and optimized machine learning.

His current PhD project is "Machine Learning-Based Geospatial Analysis of Arsenic Distribution in Groundwaters - Hazard-Exposure-Response Relationships" which is supervised by

Professor David Polya from the Department of Earth and Environmental Sciences

Dr. Yang Han from the Department of Mathematics



Research interests

Groundwater Quality; Environmental Hazards; Geospatial Analysis; Machine Learning

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 6 - Clean Water and Sanitation
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Bachelor of Science, Civil Engineering , Kermanshah University of Technology (KUT)

Master of Science, Civil Engineering for Risk Mitigation, Politecnico di Milano


  • Environmental Engineering
  • Risk Mitigation
  • Groundwater Contaminants
  • Spatial Analysis
  • Machine Learning
  • Optimization


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