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Arash Saboori works as a Postdoctoral fellow in the Department of Radiation Sciences at Umeå University. His research encompasses various aspects of Biomedical Engineering with a specific focus on AI implementation, Deep Learning, Biomedical Image Processing, and Pattern Recognition. Currently, he is involved in projects that study the development of ultrasound imaging-based diagnostic methods for skeletal muscle and explore new ultrasound-based methods for risk prediction of early atherosclerotic disease. He holds a PhD in Electrical Engineering from the Department of Electrical and Computer Engineering at Science and Research University in Tehran, Iran. Arash’s research interests also include Hyperspectral Image Classification using Deep Learning Methods and modeling skeletal muscle contraction based on deep learning methods in ultrasound imaging.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.