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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
  • Digital twins for smart asset management in the energy industry: State-of-the-art, Amin, U., Kim, D., Ahmed, F., Ahmad, G., Hossain, M. 4 Jun 2025, In: Expert Systems with Applications
  • 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, 7th International Conference on Control, Decision and Information Technologies (CoDIT), Piscataway, NJ, IEEE
  • 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
  • E2MR: Energy-efficient multipath routing protocol for underwater wireless sensor networks, Khalid, M., Ahmed, F., Arshad, M., Khalid, W., Ahmad, N., Cao, Y. 1 Sep 2019, In: IET Networks

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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