Junior Research Fellow, Lady Margaret Hall, University of Oxford, 2020 - 2022
Postdoctoral Research Scientist, University of Oxford, 2019 - 2022
Doctor of Philosophy in Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, 2018
Master of Science in Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, 2014
Prof Khan research interests include continual learning and robustness in deep neural networks, where models are trained from continual streams of data and the target is to learn from new data without forgetting the pervious knowledge, along with this the networks are designed to be robust to [bounded] input pertrubations.
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip Torr, Bernard Ghanem, "Deformrs: Certifying input deformations with randomized smoothing" AAAI 2022.
Arslan Chaudary, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr, "Continual Learning in Low-rank Orthogonal Subspaces" Neurips 2020.
Naeemullah Khan, Ganesh Sundaramoorthi, "Learned Shape-Tailored Descriptors for Segmentation" CVPR 2018.
Naeemullah Khan, Byung-Woo Hong, Anthony Yezzi, Ganesh Sundaramoorthi, "Coarse-to-Fine Segmentation with Shape-Tailored Scale Spaces" CVPR 2017.
Naeemullah Khan, Marei Algarni, Anthony Yezzi, Ganesh Sundaramoorthi, "Shape-Tailored Local Descriptors and their Application to Segmentation and Tracking" CVPR 2015.