Alexandra Branzan Albu
- Computer Vision
- Pattern Recognition
- Data Science
- Medical Imaging
- Document Image Analysis
- Underwater Image Analysis
- Computer Vision for Environmental Monitoring
Dr. Alexandra Branzan Albu studies computer vision, a branch of artificial intelligence that deals with visual perception. She is an associate professor in the Department of Electrical Engineering at the University of Victoria.
Dr. Branzan Albu puts theory to applied use in interdisciplinary collaborative projects.
She is currently collaborating with Dr. Higgs's team on the Mountain Legacy Project, housed in the Department of Environmental Studies. Her team works on algorithms for the identification and quantification of changes in mountain landscape images.
An ongoing collaboration with Ocean Networks Canada, UVic's underwater ocean observatory network, focuses on developing algorithms that analyze hours of underwater video footage. Dr. Branzan Albu's program extracts events of interest, like animal motion, and labels them with time stamps for researchers to look at later.
Another project involving industrial collaborators focuses on developing new business intelligence tools for the automatic analysis of graphics-intensive electronic business documents.
Dr. Branzan Albu's graduate students also perform research in medical imaging and human motion analysis.
In the classroom, Dr. Branzan Albu emphasizes problem-based solving and experiential learning techniques with hands-on projects rather than tests. She is actively pursuing outreach activities dedicated to increasing women's presence in electrical engineering and computer science.
To find out more about Dr. Branzan Albu's research and teaching, visit www.ece.uvic.ca/~aalbu.