Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

Shanghai Jian Qiao University | China

Dr. Huiyuan Ye is a distinguished scholar in higher education management and sustainable development. Holding a Doctor of Education (Ed.D.) from the University of Pittsburgh (2017) and prior degrees in English Literature from Shanghai International Studies University (M.A. 2009; B.A. 2006), he has held academic, research, and administrative roles at institutions including the University of Pittsburgh, Southern New Hampshire University, Duke Kunshan University, and currently Shanghai Jian Qiao University, where he serves as Vice Dean for Research and Faculty Director of the Research Center for Sustainable Development of Foreign Language Education. His research, published in SSCI Q1 journals, focuses on liberal arts and sciences education, global higher education, and embedding UNESCO’s Education for Sustainable Development (ESD) agenda into foreign language curricula. He has contributed to 11 scholarly documents, cited 140 times, and maintains an h‑index of 6. Dr. Ye’s work emphasizes interdisciplinary pedagogy, competency‑based education, workforce insights, and sustainable development strategies. Recognized with awards such as the “Great Educator of the New Age” nomination by the Shanghai Municipal Education Commission, he has collaborated with international organizations including UNESCO, USAID, and Lumina Foundation. Through research, curriculum innovation, and international engagement, Dr. Ye continues to advance higher education reform and comparative education scholarship, bridging theory and practice in East Asian and global contexts.

Profiles : Scopus | Google Scholar

Featured Publications

Ye, H. (2024). Interdisciplinary mobility: An approach to measuring interdisciplinary learning outcomes by using curricular checkpoints. International Journal of Sustainability in Higher Education, ahead-of-print(ahead-of-print).

Ye, H. (2024). Setting off the dominoes: A theory of change for scaled interdisciplinarity at a Sino-American joint-venture liberal arts and sciences University in China. Asia Pacific Education Review.

Wang, X., Xiong, W., & Ye, H. (2023). Chinese Doctoral Students’ Perceptions of Employability in the United States: Cultivating Preparedness for a Challenging World. In T. Brown (Ed.), Graduate Students at Work: Exploited Scholars of Neoliberal Higher Education (Rethinking Careers, Rethinking Academia). University Press of Kansas

Mok, K.-H., Xiong, W., & Ye, H. (2021). COVID-19 Crisis and Challenges for Graduate Employment in Taiwan, Mainland China, and East Asia: A Critical Review of Skills Preparing Students for Uncertain Futures. Journal of Education and Work.

Wang, X., Jacob, W. J., Blakesley, C. C., Xiong, W., Ye, H., Xu, S., & Lu, F. (2020). Optimal Professional Development ICT Training Initiatives at Flagship Universities. Education and Information Technology.

Ying Jin | Big Data Analytics | Best Researcher Awards

Published on by Research Data Analysis

Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.