Dana Cobzas

Dana Cobzas is an Associate Professor at the MacEwan University in the Department of Computer Science, with adjunct appointments at the University of Alberta. Her academic journey includes a

• PhD in Computer Science (University of Alberta, 2004)
• MSc in Mathematics (Babes-Bolyai University, 1998)
• BSc in Mathematics (Babes-Bolyai University, 1997)

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Her research focuses on imaging and computer vision, particularly mathematical models for medical image processing. Key areas include

• Medical image segmentation and registration
• 3D modeling from uncalibrated images
• Sparse classification for population studies
• Dynamic vision (tracking and modeling)
• Medical applications in neuroimaging and oncology

. She has developed advanced techniques like deep learning-integrated level set methods and FEM-based segmentation.

Scientific recognition includes:

• NSERC Discovery Grant (2015, 2010)
• Best Vision Paper at IEEE ICRA 2005
• Best Student Paper at Vision Interface 2003

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She is actively involved in teaching and mentoring, with experience supervising senior students’ independent studies and contributing to collaborative projects in robotics and biomedical engineering.