Education Profile

  • Ph.D., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2018
  • M.S., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2014
  • B.S., Electrical, Electronics and Communications Engineering, GIK Institute of Science and Technology, Pakistan, 2011

Naeemullah Khan was a Ph.D. student in Electrical Engineering under the supervision of Professor Ganesh Sundaramoorthi at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Education and Career

Naeemullah received his Bachelor degree in Electrical, Electronics and Communications Engineering from GIK Institute of Science and Technology, Pakistan, 2011. He joined KAUST and received his master and doctoral degree in Electrical Engineering in 2018. Before joining KAUST, he was an Engineer in Saudi Aramco.

Selected Publications

Khan, N., Hong, B.-W., Yezzi, A., & Sundaramoorthi, G. (2017). Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.188
Khan, N., Algarni, M., Yezzi, A., & Sundaramoorthi, G. (2015). Shape-tailored local descriptors and their application to segmentation and tracking. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2015.7299014
Khan, N. (2014). Shape-Tailored Features and their Application to Texture Segmentation, (Thesis). https://hdl.handle.net/10754/317258