Mr. Danyang Mei | Data Analysis Techniques | Best Researcher Award

Mr. Danyang Mei | Data Analysis Techniques | Best Researcher Award

Beihua Institute of Aerospace Engineering  | China

Mr. Mei Danyang is an accomplished researcher and engineer specializing in energy equipment design, drilling technology, and deep learning applications in mechanical systems. He has led and participated in several innovation and optimization projects related to hydraulic motors, drilling tools, and equipment industrialization. His research focuses on advanced modeling and prediction techniques, particularly using deep learning for energy-efficient drilling torque prediction. Mr. Danyang has received multiple national-level awards, including top prizes in the China Postgraduate Energy Equipment Innovation Design Competition, along with several academic scholarships and honors for excellence and innovation. Professionally, he has contributed to the design and development of large-diameter raise boring machines, downhole tools, and machine tool electrical systems, demonstrating strong expertise in structural design, vibration analysis, and system integration.

Profile: Scopus 

Featured Publications

Cao, W., Mei, D., Guo, Y., & Ghorbani, H. (2025). Deep learning approach to prediction of drill-bit torque in directional drilling sliding mode: Energy saving. Measurement: Journal of the International Measurement Confederation.

Ms. Fen Tan | Empirical Analysis of the Trade Efficiency | Best Researcher Award

Ms. Fen Tan | Empirical Analysis of the Trade Efficiency | Best Researcher Award

Dongguan City University | China

Dr. Fen Tan is a highly accomplished academic and researcher with over a decade of experience in teaching and research at Dongguan City College. Her expertise spans international trade, industrial economics, and digital trade, with a strong focus on empirical analysis of trade efficiency and cross-border e-commerce development. Dr. Tan has successfully led and completed multiple provincial and institutional research projects, including prestigious funded studies under the Guangdong Philosophy and Social Sciences Planning Program and the Guangdong Higher Education Association. Her research has made significant contributions to understanding the impact of RCEP implementation, trade efficiency in electromechanical products, and talent cultivation in digital trade, reflecting a deep commitment to advancing international economic integration and innovation-driven education. With over 16 influential publications, including core journal papers, CPCI-indexed conference papers, and authored textbooks, Dr. Tan has demonstrated excellence in both scholarly output and practical application. Her consistent engagement in forward-looking topics such as cross-border e-commerce, digital trade reform, and institutional innovation positions her as a leading contributor to modern trade studies. Given her impactful research, academic leadership, and contributions to interdisciplinary advancement, Dr. Fen Tan is highly suitable for the Best Researcher Award.

Profile:  Scopus 

Featured Publications

Cong Pang, Fen Tan, Xiaojian Lu, Cheng-Fu Yang (2025). Impact of Brand Image and Perceived Value on Consumer Purchasing Behavior in the Era of Internet of Things: A Study of Cross-border E-commerce in the Thailand Market. Sensors and Materials, Vol. 37, No. 8 (2025) 3595–3608