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Dr Farah Ahmed

Lecturer

Department: Computer and Information Sciences

Farah Ahmed

  • Please visit the Pure Research Information Portal for further information
  • A machine learning-based approach for picture acquisition timeslot prediction using defective pixels, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 1 Dec 2021, In: Forensic Science International: Digital Investigation
  • Temporal image forensic analysis for picture dating with deep learning, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 17 Aug 2020, Proceedings - 2020 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2020, IEEE
  • The ‘Northumbria Temporal Image Forensics’ Database: Description and Analysis, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 29 Jun 2020
  • Comparative Analysis of a Deep Convolutional Neural Network for Source Camera Identification, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 16 Jan 2019, Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019, Piscataway, NJ, IEEE

Zahra Farzadpour Digital video forensics analysis with deep neural networks for video forgery detection and smartphone identification. Start Date: 01/10/2023

Computer Studies PhD October 13 2021


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