Fouad Khelifi

Dr Fouad Khelifi

Associate Professor

Department: Computer and Information Sciences

EE Fouadkhelifi Staffprofile 255 I am currently Associate Professor in Computer Science in the department of Computer and Information Sciences where I am involved in the teaching of various modules in the areas of computer science and am carrying out research in computer vision and machine learning, image and video processing, biometrics and multimedia forensics, and medical image analysis. I joined the Queen's University of Belfast as a research student in 2004 and received the PhD degree from the School of Computer Science in 2007. I then held a research position in the Digital Media and Systems Research institute, University of Bradford for about two years before joining ��ϲ�� in 2010. A list of publications is available on my entry in Google Scholar and key publications can be found on .

Email Fouad

Key Publications

Advanced deep learning and large language models: Comprehensive insights for cancer detection, Habchi, Y., Kheddar, H., Himeur, Y., Belouchrani, A., Serpedin, E., Khelifi, F., Chowdhury, M. 24 Mar 2025, In: Image and Vision Computing
PDC-ViT: source camera identification using pixel difference convolution and vision transformer, Elharrouss, O., Akbari, Y., Almaadeed, N., Al-Maadeed, S., Khelifi, F., Bouridane, A. 1 Mar 2025, In: Neural Computing and Applications
Enhanced Source Camera Identification Using Dual Pathway Processing and Spatial Attention Module, Zaimen, A., Oulefki, A., Khelifi, F., Rabie, T., Bouridane, A. 28 Oct 2024, 2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Piscataway, IEEE
Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns, Omar, M., Khelifi, F., Tahir, M. 1 May 2024, In: Multimedia Tools and Applications
Hierarchical Deep Learning Approach using Fusion Layer for Source Camera Model Identification based on Video Taken by Smartphone, Akbari, Y., Almaadeed, S., Elharrouss, O., Ottakath, N., Khelifi, F. 15 Mar 2024, In: Expert Systems with Applications
Medical Image Segmentation Based on Transformer and Spatial Recursive Convolution, Li, S., Liu, X., Khelifi, F. 11 Nov 2024, 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA), Piscataway, US, IEEE
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis, Akbari, Y., Najeeb, A., Al-Maadeed, S., Elharrouss, O., Khelifi, F., Lawgaly, A. 17 Jul 2023, In: IEEE Access
Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax classifier, Ottakath, N., Akbari, Y., Almaadeed, S., Bouridane, A., Khelifi, F. 23 Oct 2023, 2023 International Symposium on Networks, Computers and Communications (ISNCC), Piscataway, US, IEEE
A Filtering Method for SIFT based Palm Vein Recognition, Perera, K., Khelifi, F., Belatreche, A. 30 Nov 2022, 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Piscataway, NJ, IEEE
A new, enhanced EZW image codec with subband classification, Brahimi, T., Khelifi, F., Laouir, F., Kacha, A. 1 Feb 2022, In: Multimedia Systems

PGR Supervision

Ikechukwu Ikpeama Machine Learning Application for Cyber Security of Industrial Control Systems Start Date: 01/03/2024
Egallekanda Perera Efficient Keypoint-based palm-vein recognition Start Date: 28/01/2019