Dr Ashref Lawgaly

• Please visit the Pure Research Information Portal for further information
• Digital Forensic Analysis for Source Video Identification: a Survey, Akbari, Y., Almaadeed, S., Elharrouss, O., Khelifi, F., Lawgaly, A., Bouridane, A. 1 Jun 2022, In: Forensic Science International
• PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification, Lawgaly, A., Khelifi, F., Bouridane, A., Al-Maaddeed, S., Akbari, Y. 17 May 2022, Proceedings of the IEEE International Conference on Control, Decisions and Information Technologies, Piscataway, NJ, IEEE
• Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification, Lawgaly, A., Khelifi, F., Bouridane, A., Al-Maaddeed, S., Akbari, Y. 11 Mar 2022, Proceedings of 2022 7th International Conference on Machine Learning Technologies, ICMLT 2022, New York, US, ACM
• 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
• Sensor Pattern Noise Estimation using Non-Textured Video Frames for Efficient Source Smartphone Identification and Verification, Lawgaly, A., Khelifi, F., Bouridane, A., Al-Maaddeed, S. 16 Aug 2021, Proceedings - 2021 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2021, Piscataway, 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, Institute of Electrical and Electronics Engineers Inc.

Engineering PhD February 27 2017