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M.Sc. Nesryne Mejri

  • Department:      CVI²
  • Postal Address:  CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg


  • Email:                     nesryne.mejri@uni.lu
  • Telephone:             (+352) 46 66 44 5010
  • LinkedIn:                Nesryne Mejri
  • Google Scholar:    Nesryne Mejri


Nesryne Mejri received her Master’s degree in Information and Computer Science from the University of Luxembourg in 2021. Her research interests are in Computer Vision and Deep Learning, focusing on media forensics and the detection of forged and fake visual content. Nesryne joined the Computer Vision, Imaging & Machine Intelligence research group – CVI2 headed by Prof. Djamila Aouada as a Ph.D. student from 2020 and she will be advised by the latter. 

Research Interests

  • Deepfake Detection
  • 2D and 3D Computer Vision
  • Machine Learning



Mejri, Nesryne, Konstantinos Papadopoulos, and Djamila Aouada. “Leveraging High-Frequency Components for Deepfake Detection.” In International Workshop on Multimedia Signal Processing (MMSP), 2021. IEEE.


Dupont, Briag and Mejri, Nesryne and Da Costa, Georges, “Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm.” In Sustainable Computing: Informatics and Systems, 2020. Elsevier.