معرفی
Alexandra Branzan-Albu is a Professor in the Department of Electrical and Computer Engineering at the University of Victoria, BC, Canada. Her work spans research, teaching, and service in computer vision, image processing, and machine learning, with applications in healthcare, marine monitoring, and document analysis.
Research Interests: Her research is centered on computer vision and artificial intelligence, with a focus on pattern recognition from image and video data. She addresses societal challenges such as environmental monitoring, medical diagnostics, and big data analysis. Key areas include motion analysis, medical imaging, underwater vision, and document image understanding. Her work combines theoretical depth with practical applications.
Recent Research Trends: Her recent publications (2022–2024) highlight a strong focus on underwater imaging, including fish and krill detection in echograms using U-Net variants, anomaly detection in non-stationary image streams, and enhancement of underwater visuals. She also explores document image retrieval, handwritten annotation classification, and biomedical applications like heart valve durability analysis. These works reflect a blend of deep learning, attention mechanisms, and domain-specific adaptation.
Scientific Awards:
- NSERC University Faculty Award (2003–2006)
Advising and Grants: She has supervised numerous students and collaborators, evident from asterisked co-authors on recent publications. Her research is supported by competitive grants, including an NSERC Discovery Grant on real-time event detection, FQRNT funding for medical imaging, and participation in team grants from CFI, PRECARN, and FQRNT. Her projects involve collaborations with ASL Environmental Sciences, Ocean Networks Canada, and industry partners like Quirklogic and VIVITRO Labs.
Labs and Teams: She is affiliated with the Computer Vision and Systems Laboratory at UVic, contributing to a collaborative environment for innovation in visual computing and AI applications.
