yanhong wu | Optimization Techniques | Best Researcher Award

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.

Boris Rivkin |  Data Integration | Best Researcher Award

Dr. Boris Rivkin |  Data Integration | Best Researcher Award

Concern CSRI Elektropribor | Russia

Dr. Boris S. Rivkin is a distinguished navigation scientist and engineer with over five decades of contributions to maritime technology and research. A graduate of the Physics and Mechanics Faculty of Leningrad Polytechnic Institute (1963), he earned his PhD in 1978 for pioneering investigations in marine integrated-navigation systems. Throughout his career at the Central Scientific Research Institute “Elektropribor” in Saint Petersburg, he advanced to lead the Navigation Competence Center, guiding innovations in shipboard navigation and control. Dr. Rivkin played a pivotal role in developing Russia’s first maritime integrated navigation systems, Briz-N and Biruza-NK, serving as deputy chief designer. His research interests span integrated navigation, e-Navigation, autonomous and unmanned ships, gyroscopic sensors, neural networks in marine systems, and maritime cybersecurity. He has published over 15 papers in leading indexed journals, notably Gyroscopy and Navigation, where he also serves as Deputy Chief Editor. He has chaired numerous international conferences and contributed to the International Association of the Institute of Navigation as an officer. Recipient of several institutional recognitions for technical excellence, Dr. Rivkin remains a leading figure in the evolution of intelligent maritime navigation systems, continually advancing the integration of digital technologies to enhance safety, autonomy, and precision at sea.

Profile : Orcid

Featured Publications

Rivkin, B., & Kuznetsov, N. (2025). Neural Networks in Ship Navigation. Gyroscopy and Navigation, March 2025. (Writing – original draft, Conceptualization).

Rivkin, B. (2024). Navigation without GPS. Gyroscopy and Navigation, March 2024.

Rivkin, B. (2023). Maritime Cybersecurity. Navigational Aspect. Gyroscopy and Navigation, December 2023.

Rivkin, B., & Voronov, A. (2021). Gyroscope on de Broglie Waves: Intricate Things in Simple Words. Gyroscopy and Navigation, April 2021. (Conceptualization).

Rivkin, B. (2021). Unmanned Ships: Navigation and More. Gyroscopy and Navigation, January 2021.