Profile
Dr. Saqib Qamar received his Ph.D. degree from Huazhong University of Science and Technology, China, in September 2019 under Prof. Hai Jin. Before joining Umeå University he worked as an Assistant Professor at Madanapalli Institute of Technology and Science (MITS), India. His primary research interests are in the areas of Computer Vision, Medical Image Analysis, Image Segmentation, and Deep Learning. His research focuses on applying a deep learning approach to medical images to automatically detect and segmentation of different diseases like brain tumor segmentation, infant brain tissue segmentation, skin lesion segmentation, and so on.
Saqib Qamar joined Icelab as a postdoctoral researcher in 2022. He started to work on the segmentation of cells from 3D X-ray imaging. He likes exploring various domains because ML-based approaches could reduce manual dependency on tasks in domains.
Current Projects
The Latest Posts
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Duty before all?
Duty before all? by Martin Rosvall "So, you are on your way home? When I was at your age, I never went home until eight o'clock!" It was only five [...]
IceLab’s First Lunch Pitch
Coverage of IceLab's first Lunch Pitch In order to promote meetings between researchers from different institutions and disciplines, Icelab organizes multidisciplinary research presentations with the vision of letting ideas grow [...]
Different pressures in different places
Different pressures in different places: a new method to track evolution across variable environments by Jonas Wickman The problem Evolution – or, as many people understand it, survival of [...]
Memory in Network Flows
Memory in network flows and its effects on spreading dynamics and community detection The problem In today's connected world, pressing problems call for efficient mapping and modeling of flow pathways [...]