Zahiriddin Rustamov works at the intersection of machine learning, graph-based methods, and data efficiency. His research develops graph-based techniques for selecting representative and informative subsets of training data, enabling models to learn from significantly less data while preserving performance. He also applies these approaches to medical image analysis to support scalable and reliable AI-assisted imaging systems.
MEDical Image Computing Lab (MEDIC)
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E1 Building, Room 3070
Dept. of Computer Science and Software Engineering
P.O. Box 15551, Al Ain, UAE
Email: rdamseh@uaeu.ac.ae
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