Mark Eramian

Mark Eramian is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on image processing, medical image analysis, and computer vision, with significant contributions to plant phenotyping and medical diagnostics. He leads a lab emphasizing equity, diversity, and inclusivity, outlined in the Lab Code of Conduct.

His work spans applications in agriculture, such as automated plant trait analysis using UAV and multispectral imaging, and medical imaging, including thyroid nodule classification and ovarian follicle segmentation. He collaborates with organizations like the Canadian Food Inspection Agency and is part of the Plant Phenotyping and Imaging Research Centre (P2IRC), funded by the Canada First Research Excellence Fund.

Eramian teaches courses in image processing, computer vision, and algorithms. His lab actively develops open-source tools for image analysis, including texture enhancement methods and segmentation algorithms. Current projects include self-supervised learning for phenotyping and semi-automated seed classification.

Prospective students are encouraged to apply through the university's graduate program, selecting 'Computer Vision and Image Processing' as their focus area. His lab emphasizes collaboration, learning, and ethical conduct, with ongoing work in phenomics and medical imaging technologies.