Naima Rahiel | Public Health Analytics | Women Researcher Award

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Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

yanhong wu | Optimization Techniques | Best Researcher Award

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Prof. yanhong wu | Optimization Techniques | Best Researcher Award

UCSI University | China

Prof. Yanhong Wu holds a PhD in Business Administration from UCSI University (Malaysia) and previously earned a Master’s and Bachelor’s in Accounting at Chinese institutions. Since 2009 she has served as Professor at the School of Accounting, Zhanjiang University of Science and Technology, following early-career experience as an accounting supervisor in industry. Her research addresses supply chain management, circular economy, blockchain-enabled accounting systems and accounting education innovation. She has published around 27 peer-reviewed articles including eight SSCI/SCI pieces, 18 EI(CA) indexed papers and six in the Beijing University Core list. She has also secured a national utility-model patent, a software copyright, and authored the monograph Cost Accounting for Enterprises Based on Blockchain Technology. She has led more than ten research and curriculum-reform projects at provincial, municipal and institutional levels including themes such as “dual-teacher” faculty development and AI-enhanced classroom innovation. Her current h-index is approximately 3  and she has accumulated in the region of ~93 citations across her publications. Looking ahead, she continues to advance research at the interface of accounting, sustainability and digital technologies, and is dedicated to cultivating applied-accounting talent for the next generation of enterprises.

Profiles : Scopus | Orcid

Featured Publications

Wu, Y. (2025). Financial and environmental impact in closed-loop circular supply chain. Supply Chain Forum: An International Journal.

Wu, Y. (2025). Blockchain-enabled sustainable supply chain management: a study on the impact of collaboration optimization. Management Decision.

Zheng, X. (2024, December 27). Integration of Big Data and Technological Innovation to Promote the Digital Transformation of Marine Ranches. In Proceedings of the International Conference on Computer Science and Intelligent Systems (CSIS 2024).

Wu, Y., & Wang, R. (2024). Sustainability-based enterprise supply chain optimization and response under circular economy approach: agile, adaptive and coordinated. Management Decision.

Zhou, Z., Wu, Y., & Xie, Q. (2024). Social responsibility, information technology, and high-quality development of mining enterprise using structural equation modeling (SEM). Resources Policy.