Dr. Djamel Eddine Boukhari is a dedicated researcher whose work lies at the intersection of artificial intelligence, deep learning, and computer vision, with a strong focus on sustainability and environmental monitoring. His research emphasizes the development of hybrid CNN–Transformer and Vision Mamba–ViT architectures, achieving advanced performance in facial beauty prediction, diabetic retinopathy detection, and image-based environmental analysis. Through innovative multi-task learning approaches, he has contributed to bridging AI technologies with real-world societal and ecological challenges. Dr. Boukhari has participated in several national and international projects, including PRIMA and collaborative research with institutions such as IKERBASQUE in Spain, IEMN–Université Polytechnique Hauts-de in France, and the National Research Council in Italy. His scholarly output includes multiple publications in Scopus and Springer-indexed journals, a forthcoming book on deep learning applications in facial analysis, and a published patent related to intelligent pollination systems using AI. He also serves as a reviewer for esteemed journals, contributing to the advancement of scientific rigor and innovation. His interdisciplinary expertise extends to AI-based water management, UAV systems, and smart environmental monitoring. Recognized for merging theoretical insight with applied research, Dr. Boukhari exemplifies the integration of machine learning and sustainable technology, consistently pushing the boundaries of artificial intelligence to address complex human and environmental needs.
Profiles: Scopus | Orcid | Google Scholar
Featured Publications
Boukhari, D. E., Chemsa, A., & Baarir, Z.-E. (2025). Facial beauty prediction using global context vision transformer. In Proceedings of the 2025 International Symposium on Innovative Informatics of Biskra (ISNIB 2025) (pp. – ). IEEE.
Boukhari, D. E. (2025). FairViT-GAN: A hybrid vision transformer with adversarial debiasing for fair and explainable facial beauty prediction. arXiv.
Zidi, F. A., Boukhari, D. E., Sellam, A. Z., Ouafi, A., Distante, C., Bekhouche, S. E., & Taleb-Ahmed, A. (2025). LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging. arXiv.
Belkacem, L., Laala, G., Taher, B. M., Zereg, A., Nora, B., & Boukhari, D. E. (2025). New kinematic of droop-nose leading-edge (DNLE) to increase the extracted power by flapping wing. Journal of the Institution of Engineers (India): Series C.
Bouzaher, M. T., Zereg, A., Nora, B., Boukhari, D. E., & Lebaal, N. (2025). Numerical research on the effect of expandable flaps on the output power of flapping foils. Journal of the Brazilian Society of Mechanical Sciences and Engineering.