Scholar
Dounia Hammou
Google Scholar ID: Qvk4zB0AAAAJ
University of Cambridge
Citations & Impact
Citations
242
H-index
4
i10-index
3
Publications
13
Co-authors
0
Publications
Resume (English only)
Research Experience
- Current research involves developing video quality assessment algorithms based on both human vision and machine learning, and participating in various research projects related to video quality and visual difference prediction.
Education
- Pursuing a PhD at the University of Cambridge under the supervision of Dr Rafał Mantiuk; received an engineering degree in Telecommunications and Digital Technologies from the National Institute of Telecommunication and ICT, where she worked on image quality assessment algorithms under the supervision of Dr Sid Ahmed Fezza and Dr Hamidouche Wassim.
Background
- A final-year PhD student in the Graphics and Interaction (Rainbow) group at the University of Cambridge, focusing on human vision and perception and its application to video quality assessment metrics and visual difference predictors. Aims to develop video quality assessment algorithms that account for the display and viewing conditions of observers, optimizing video delivery of both SDR and HDR content.
Miscellany
- Information about personal interests and hobbies is not provided.
Co-authors