Scholar
Abdullah Hamdi
Google Scholar ID: tQkWPKAAAAAJ
postdoctoral research fellow at University of Oxford
Citations & Impact
Citations
1,499
H-index
13
i10-index
15
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- 1. X-Diffusion paper presented as an oral at ICCV 2025 Workshop on Generative AI for Biomedical Image Analysis
- 2. UKBOB paper accepted at ICCV 2025, along with two more papers (4D-Bench and ZeroKey)
- 3. 3D Convex Splatting paper accepted as a highlight (top 13.5% papers) at CVPR 2025
- 4. MVTN Journal extension paper accepted at IJCV
- 5. NLSON paper accepted as a journal paper at Computational Visual Media
- 6. TrackNeRF paper accepted at ECCV 2024
- 7. GES paper presented as a poster at CVPR 2024 main conference
- 8. Won first place at Visual Queries 3D challenge of Ego-Exo4D at EgoVis workshop at CVPR 2024
- 9. Led organizing the Second 3DMV workshop at CVPR 2024
Research Experience
- 1. Postdoc Researcher, VGG lab, University of Oxford, Advisors: Andrew Zisserman and Andrea Vedaldi
- 2. Research Fellow (JRF), Kellogg College
- 3. Visiting PhD student, TUM, Advisor: Matthias Niessner, 5 months in 2022
- 4. Member of Image and Video Understanding Laboratory (IVUL) in the Visual Computing Center (VCC)
- 5. Taught part of the advanced AI/computer vision course at AIMS, focusing on modern 3D computer vision and graphics
Education
- 1. Ph.D. in Electrical and Computer Engineering (GPA 3.7/4), 2023, King Abdullah University of Science and Technology, Advisor: Bernard Ghanem
- 2. M.Sc. in Electrical Engineering (GPA 4/4), 2018, King Abdullah University of Science and Technology
- 3. B.Sc. in Electrical Engineering (GPA 3.97/4), 2016, King Fahd University of Petroleum and Minerals
Background
- Postdoctoral researcher in machine learning and computer vision, with research interests including medical image understanding and reconstruction, 3D reconstruction and radiance fields, multi-view for 3D/4D understanding and generation, robustness of deep learning. Career goal is to develop robust deep learning tools for 3D understanding and creation and to expand the access of AI to disadvantaged groups in the Arabic region.
Miscellany
- 1. Founder and president of fihm.ai (biggest Arabic online AI platform)
- 2. Completed MIT course 5.95J: Teaching College-Level Science and Engineering
