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Abdullah Hamdi

Postdoc Researcher; Computer Vision

KAUST Ibn Rushd Fellowship

I am a visiting researcher at the KAUST Center of Excellence for Smart Health with Prof. Xin Gao working on AI for biomedical imaging applications. From 2023 to 2025, I was a postdoctoral researcher at the Visual Geometry Group of the University of Oxford with Prof. Andrew Zisserman and Prof. Andrea Vedaldi, and a research fellow (JRF) at Kellogg College, Oxford. The postdoc was supported by The Ibn Rushd Postdoctoral Fellowship Award since 2023. Prior to that, I earned a PhD degree in Electrical and Computer Engineering (Computer Vision) from KAUST in 2023, working on 3D understanding with deep neural networks [video, article]. I was part of the Image and Video Understanding Laboratory (IVUL) in the Visual Computing Center (VCC), advised by Bernard Ghanem. I was a visiting PhD student with Prof. Matthias Niessner at TUM in 2022 for 5 months in Munich. I received my MS degree in Electrical Engineering from KAUST in 2018, and my undergraduate degree in Electrical Engineering from KFUPM in 2016. My career goal is to develop robust AI tools for biomedical imaging and for 3D/4D understanding and creation and to expand access to AI for disadvantaged groups in the Arab region [TedX talk]. I am also the founder and president of fihm.ai (the largest Arabic online AI platform).

Interests

  • Medical Image Understanding and Reconstruction
  • 3D Reconstruction and Radiance Fields
  • Multi-view for 3D/4D Understanding and Generation
  • Robustness of Deep Learning

Education

  • PhD in Electrical and Computer Engineering (GPA 3.7/4), 2023

    King Abdullah University of Science and Technology

  • MSc in Electrical Engineering (GPA 4/4), 2018

    King Abdullah University of Science and Technology

  • BSc in Electrical Engineering (GPA 3.97/4), 2016

    King Fahd University of Petroleum and Minerals