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Mohammadreza Sheykhmousa




Mohammadreza Sheykhmousa has a background in Geomatics Engineering and Geo-information Science and Earth Observation with a specialization in disaster risk management.

At EnvirometriX, Mohammadreza is responsible for implementing spatial analysis processes mainly via adapting cutting edge automated ensemble machine learning pipeline solutions for EnvirometriX problems as well as producing functions, scripts, and batch files running in data science programming languages R, Python, and similar. He is also member of the OpenGeoHub development team.

Education:

  • MSc, ITC Enschede (Geo-information Science and Earth Observation)

Appointments:

  • 2019–2020: eLEAF Ltd, The Netherlands
  • 2010–2015: Boland Payeh Construction Company, Tehran, Iran
  • 2007–2010: Hexa Consulting Company, Tehran, Iran
  • Ensemble Machine Learning
  • R
  • Spatial Analysis
  • Predictive Mapping

Post-disaster recovery assessment with machine learning-derived land cover and land use information https://doi.org/10.3390/rs11101174