Dan Li | Computer Vision | Best Researcher Award

Published on by Popular Scientist

Dr. Dan Li | Computer Vision | Best Researcher Award

Lecturer | University of Shanghai for Science and Technology | China

Dr. Dan Li is a Lecturer at the University of Shanghai for Science and Technology, specializing in decision theory, artificial intelligence management, and efficiency analysis. Her research integrates data driven decision making methods with emerging AI technologies to address complex management and operational challenges. She has contributed to advancements in efficiency measurement, intelligent systems, and optimization through funded research projects supported by national and provincial foundations. Dr. Li’s publications appear in leading journals such as Knowledge-Based Systems, Advanced Engineering Informatics, Omega, Journal of the Operational Research Society, and Journal of Cleaner Production, where she explores topics including AI based object detection, data envelopment analysis, and performance evaluation of industrial and service systems. Her work bridges theoretical modeling with practical applications in sectors such as finance, education, and sustainability. In addition to her research, she actively contributes to the academic community as a reviewer for high-impact international journals and engages in interdisciplinary collaborations focusing on the integration of artificial intelligence into management science. Through her innovative approaches and international research engagements, Dr. Li continues to advance the fields of decision science and AI-driven management solutions.

Profiles: Scopus | Orcid

Featured Publications

Tang, J., Li, D., Yang, J., Chen, J., & Yuan, R. (2025). Leveraging large visual models for enhanced object detection: An improved SAM-YOLOv5 model. Knowledge-Based Systems, 114757.

Yang, J., Emrouznejad, A., & Li, D. (2024, October 25). An improved game cross-efficiency approach with dual-role factors for measuring the efficiency of Chinese “985 project” universities. Journal of the Operational Research Society.

Chen, C.-M., & Li, D. (2024, July). Weighing in on the average weights: Measuring corporate social performance (CSP) score using DEA. Omega, 103072.

Yang, J., Li, D., & Li, Y. (2024, January). A generalized data envelopment analysis approach for fixed cost allocation with preference information. Omega, 102948.

Yang, J., & Li, D. (2022, June 9). Finding the single efficient unit in data envelopment analysis with flexible measures. Journal of the Operational Research Society.

Djamel Eddine Boukhari | Computer Vision | Best Researcher Award

Published on by Popular Scientist

Dr. Djamel Eddine Boukhari | Computer Vision | Best Researcher Award

Researcher | Scientific and Technical Research Center on Arid Regions (CRSTRA) | Algeria

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.