Maryam Sultana
Research Fellow at Oxford Brookes University
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolMaryam Sultana is a Research Fellow at the Visual Artificial Intelligence Laboratory, Oxford Brookes University, with eight years of research experience spanning computer vision, deep learning, and uncertainty quantification. She completed a PhD in Computer Science at Kyungpook National University and has held research roles at Mohamed Bin Zayed University of AI and Kyungpook, contributing to generative adversarial networks, background modelling, domain adaptation, and foreground detection. Maryam actively collaborates internationally with labs in France and Pakistan and has served on program committees for top workshops at ICCV, NeurIPS, and UAI, demonstrating engagement with the research community beyond publications. Her work blends theoretical advances in robustness and domain generalization with applied experience in virtual reality and visual AI systems, and she brings a track record of organizing and reviewing high-profile workshops that shape emerging directions in vision and epistemic uncertainty.
8 years of coding experience
1 year of employment as a software developer
M.Phill, Electronics, A, M.Phill, Electronics, A at Quaid-i-Azam University, IslamabadDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Kyungpook National University
Github Skills (32)
dcgan10
autoencoder10
mnist10
generative-model10
generative-adversarial-network9
python9
machine-learning9
tensorflow9
deep-learning9
generative9
cyclegan8
neural-network8
chainer8
data-science8
generalization8
Programming languages (6)
Github contributions (5)
maryam089/SDViT
Jun 2022 - Nov 2022
Contributions:93 commits, 85 pushes, 1 branch in 5 months
maryam089/DomainBed
Jun 2022 - Jun 2022
DomainBed is a suite to test domain generalization algorithms
Contributions:6 pushes in 1 day
datamininggeneralizationtestingdomain-generalizationtld
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