S. Eddamiri

I am a postdoctoral researcher at the Department of Advanced Computing Sciences, Maastricht University. My academic background is in computer science (PhD), with a specialization in semantic technologies and knowledge graphs, and their applications.

Previously, during my postdoctoral research at Mohammed VI Polytechnic University (UM6P), I focused on closing yield and precipitation gaps in Africa using AI, machine learning, and computer vision to develop predictive models for agriculture, water management, and climate resilience.

Currently, my research integrates machine learning, deep learning, GIS, and remote sensing to assess ecosystem risks and biodiversity conservation. I work on developing decision-making methodologies to evaluate future biodiversity risks, aiming to support conservation strategies and sustainable ecosystem management.

I am deeply interested in the intersection of AI, climate change, environmental data science, and ecological modeling, exploring how advanced computational methods can help us better understand and mitigate the risks to biodiversity and ecosystems.