Scholar
Anis Ur Rahman
Google Scholar ID: PzPhVdkAAAAJ
Project Researcher, University of Eastern Finland
Citations & Impact
Citations
1,168
H-index
19
i10-index
30
Publications
20
Co-authors
81
list available
Publications
Resume (English only)
Academic Achievements
- Involved in multiple research projects, including the ERC Starting Grant-funded DRYTREE project, and research work at the University of Malaya and the University of Jyvaskyla.
Research Experience
- Formerly an Associate Professor at the Department of Computing, NUST-SEECS (Pakistan); worked as a Research Fellow at the Department of Information Systems (FSKTM University of Malaya) for one year in 2019, where he engineered a comprehensive simulation framework to model and analyze large-scale smart farming ecosystems and explored strategies for optimizing sustainable resource utilization within fog federations for smart cities; worked as a PostDoc researcher at the Department of Biological and Environmental Sciences, University of Jyvaskyla in 2022, collaborating with high-performance computing experts at CSC to develop pipelines for modelling and processing massive biodiversity data with LUMI, Europe’s fastest petascale supercomputer.
Education
- Master's degree in Informatics with specialization in Parallel and Distributed Systems from Universite Grenoble Alpes; PhD in Computer Science from Universite Grenoble Alpes. His doctoral dissertation explores computational modelling of visual attention, focusing on mechanisms involving various cues: static, dynamic, face, and colour.
Background
- He is a Project Researcher at the University of Eastern Finland, in the Faculty of Science, Forestry and Technology. His role focuses on the ERC Starting Grant-funded project “Environmental thresholds for drought- and heat-related tree mortality (DRYTREE).” He will be contributing to this interdisciplinary project by developing pattern-recognition algorithms and utilizing remote sensing tools to map tree mortality across Europe and the US. His expertise includes image analysis, convolutional neural networks, high-performance computing, and managing large datasets.
Miscellany
- Personal interests and hobbies not mentioned
