Demil, Getnet
Doctoral Researcher, Uleåborgs universitet
Beskrivning av forsknings
Getnet is a researcher who specializes in computer science and environmental science. He has a solid academic foundation in Image Processing and Computer Vision and is skilled in programming languages like Python, C++, and MATLAB. Currently, his primary focus is on developing image-based techniques to study snow-water characteristics. Getnet has a strong passion for collaborating with diverse teams to bring about positive transformations in environmental research.Nyckelord
Artificial Intelligence, Computer Vision, Deep Learning, Hydrology Modeling, Image Processing, Machine Learning, Remote SensingAffiliering
Uleåborgs universitet
Enheten
Center of Machine Vision and Signal Analaysis
Källa: ORCID
Title
Master Thesis Intern 2024 - 2024
Enheten
Center of Machine Vision and Signal Analaysis
Källa: ORCID
Title
Doctoral Researcher 2024 -
Utbildning
Grader
PhD 2024 - / University of Oulu
MSC 2022 - 2024 / Autonomous University of Madrid
MSC 2020 - 2022 / Bahir Dar University
MSc 1.9.2022 - 1.7.2024 / Université de Bordeaux
MSC 2022 - 2024 / Pázmány Péter Catholic University
BSC 2013 - 2018 / Bahir Dar University
Publikationer (3)
Advances in image-based estimation of snow variable: A systematic literature review on recent studies
2025
Advances in Image-Based Estimation of Snow Hydrology Parameters: A Systematic Literature Review
2024
Advances in Image-Based Estimation of Snow Hydrology Parameters: A Systematic Literature Review
2024