Anis Ur Rahman

Machine Learning Specialist at CSC - IT Center for Science, working within the LUMI AI Factory.

I build scalable AI pipelines for computer vision, remote sensing, high-performance computing, and environmental data.

Anis Ur Rahman

My recent work connects AI, sustainability, and climate resilience. I have worked on the DRYTREE project for drought- and heat-related tree mortality mapping, and on biodiversity data pipelines using the LUMI supercomputer.

  • Deep learning and computer vision for image analysis and saliency modeling
  • Scalable machine learning pipelines and GPU/HPC optimization
  • Remote sensing and environmental pattern modeling
  • Large-scale ecological and biodiversity data processing

I hold a PhD in Computer Science from Universite Grenoble Alpes, where my dissertation focused on computational modelling of visual attention and GPU-based real-time implementations.