Anis Ur Rahman is a postdoctoral researcher at the University of Eastern Finland, focusing on the ERC-funded “Environmental thresholds for drought- and heat-related tree mortality (DRYTREE)” project. He earned his master’s and Ph.D. degrees in Computer Science from universities in France. Anis has also held positions as an Associate Professor at NUST-SEECS (Pakistan) and postdoctoral positions at the University of Malaya and the University of Jyväskylä.
At the University of Malaya, Anis contributed to developing simulation frameworks for smart farming ecosystems and optimizing resource use in fog computing for smart cities. In 2022, he joined the University of Jyvaskyla for an advanced biodiversity project, collaborating with high-performance computing experts to utilize LUMI for data processing.
Anis focuses on developing pattern-recognition algorithms and using remote sensing tools to map tree mortality across Europe and the US in the “DRYTREE” project. His research interests include image analysis, convolutional neural networks, and high-performance computing.