Alexandros Sopasakis

Alexandros Sopasakis serves as an Associate Professor in the Department of Mathematics within the Faculty of Engineering at Lund University. Additionally, he holds dual roles as Application Expert for national research infrastructures CIPA (Correlative Image Processing and Analysis) and InfraVis (National Research Infrastructure for Data Visualization).

His research expertise spans Mathematical Computer Vision and Machine Learning, with specialized focus on Machine Learning-based segmentation and annotation tool development. Current projects include segmenting glomeruli from synchrotron X-ray microtomography datasets and investigating diabetes through rat models with specific genetic mutations, revealing consistent organ enlargement regardless of gender or blood sugar levels. His work bridges theoretical mathematics with practical medical imaging applications in biological research.

No scientific awards were documented in the source material. Similarly, graduate student mentorship details and research grant information remain unspecified. Dr. Sopasakis actively contributes to national research ecosystems through CIPA and InfraVis, providing critical expertise in image processing pipelines and data visualization solutions for complex scientific datasets.