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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.

Dan Li | Computer Vision | Best Researcher Award

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