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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2024 Lunch Pitches
Sign up to give a Lunch Pitch in 2024 IceLab once again invites researchers to share their ideas and engage in discussion with a multidisciplinary audience [...]
For the love of fun in science
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Center for modeling adaptive mechanisms in living systems under stress
FUNDING NEWS: Center for modeling adaptive mechanisms in living systems under stress at IceLab Martin Rosvall, together with Åke Brännström, Sebastian Diehl, Maria Fällman and Åsa Strand of IceLab have been [...]
Science’s communication problem – and a solution
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Secondary metabolite discovery and a plant wall biodesign opportunity
Secondary metabolite discovery and a plant wall biodesign opportunity May 25, 2023 Watch Lunch Pitch Video Pitch 1: Laura Carroll: Machine learning approaches for microbial [...]