Ying Jin | Big Data Analytics | Best Researcher Awards

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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.

Zhe YUAN | Best Researcher Award | Data-informed Decision Making

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YUAN - Pôle universitaire Léonard de Vinci - Data-informed Decision Making🏆

Dr Zhe YUAN : Data-informed Decision Making

Professional profile:

Early Academic Pursuits

Zhe Yuan's academic journey began with a Bachelor's degree in E-commerce from the Management School of Information System, Hubei University of Economics, China, in 2013. This foundational education was followed by an MSc in Logistics Engineering from Huazhong University of Science & Technology, China, in 2015. His pursuit of knowledge culminated in a PhD in Industrial Engineering from Centrale Supelec, University of Paris Saclay, France, in 2019. His early academic pursuits laid the groundwork for a career focused on industrial engineering, logistics, and e-commerce.

Professional Endeavors

Post his academic achievements, Zhe Yuan has made significant strides in academia and research. Since 2019, he has served as a Professor-Researcher at EMLV, Paris la Defense, France. Concurrently, he has been actively involved in multiple research projects, notably partnering with esteemed organizations such as the National Natural Science Foundation of China. His role as a Project Coordinator for Erasmus+ Agency projects since 2019 further underscores his commitment to academic and research excellence.

Contributions and Research Focus

Zhe Yuan's research interests are vast and highly relevant in today's digital age. His primary areas of focus encompass Smart Services, AI, Big Data, E-commerce, Optimization, and Sustainable Information Systems. His scholarly contributions include numerous peer-reviewed articles published in renowned journals such as the International Journal of Production Economics, Regional Studies, and IEEE Transactions On Engineering Management. Additionally, he has actively participated in conferences worldwide, presenting his research findings and contributing to academic discourse.

Accolades and Recognition

Throughout his academic and professional journey, Zhe Yuan has garnered recognition for his exemplary work. His research projects have received substantial funding, including grants from the National Natural Science Foundation of China. His publications in esteemed journals and his active participation in academic committees highlight his stature in the academic community. Furthermore, his role as a reviewer for prestigious journals like the International Journal of Production Research and Energy Economics underscores his expertise and contributions to the field.

Impact and Influence

Zhe Yuan's research and pedagogical activities have had a profound impact on the fields of Industrial Engineering, Logistics, and E-commerce. His research on AI, Big Data, and Optimization has paved the way for innovative solutions in Smart Services and Sustainable Information Systems. Moreover, his teaching endeavors, supervising master's theses, and guiding Ph.D. students have shaped the next generation of scholars and professionals in these domains.

Legacy and Future Contributions

As a distinguished Professor-Researcher, Zhe Yuan's legacy is characterized by his relentless pursuit of knowledge, commitment to excellence, and impactful contributions to academia and research. His research focus on Smart Services, AI, and E-commerce continues to be highly relevant, given the evolving technological landscape. Moving forward, he is poised to further expand his research horizons, mentor budding scholars, and contribute significantly to addressing contemporary challenges in Industrial Engineering and related fields.

In summary, Zhe Yuan's early academic pursuits, professional endeavors, groundbreaking research, accolades, and future contributions collectively underscore his prominence in Industrial Engineering, Logistics, and E-commerce. His legacy as a visionary scholar and educator will undoubtedly inspire generations to come.

Notable Publication:

Tayfun Sengul | Best Researcher Award | Data-informed Decision Making

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 Tayfun Sengul - Kutahya Dumlupinar University - Data-informed Decision Making🏆

Assist Prof Dr Tayfun Sengul : Data-informed Decision Making

Professional profile:

Early Academic Pursuits:

Tayfun Şengül began his academic journey at Dumlupınar University, Kutahya, where he completed his Bachelor of Science in Civil Engineering between 1995 and 2000. Following this, he pursued his Master of Science in Geotechnical Engineering from 2000 to 2003 at the same university, focusing on the geotechnical properties of clays contaminated by heavy metals and salts. His dedication to the field led him to Yildiz Technical University, Istanbul, where he earned his Ph.D. in Geotechnics from 2004 to 2010. His doctoral research was centered on the improvement of soft soils by utilizing prefabricated vertical drains.

Professional Endeavors:

Over the years, Tayfun has gathered significant professional experience both nationally and internationally. He has served as a Visiting Scholar at Syracuse University, New York, on multiple occasions between 2008 and 2015. Furthermore, he has held various roles at Dumlupınar University, Kutahya, including Assistant Professor and Research and Teaching Assistant. Additionally, he enriched his academic portfolio with roles at Yildiz Technical University and the University of Wisconsin-Madison, where he also engaged in research and teaching.

Contributions and Research Focus:

Tayfun Şengül's research primarily revolves around soil mechanics, foundation engineering, and experimental soil mechanics. His publications span a range of topics, including the effects of stabilization on highway clay soils, factors affecting efficiency in flocculation, and the investigation of liquefaction potential using Geographical Information Systems. Tayfun has been instrumental in various scientific research projects, such as the stabilization of clayey soils with waste marble powder and investigating the use of geotextile tubes for industrial waste storage.

Accolades and Recognition:

While Tayfun Şengül's detailed accolades aren't explicitly mentioned in the provided content, his extensive list of publications, research projects, and affiliations with prestigious institutions like Syracuse University and the University of Wisconsin-Madison speaks volumes about his recognition and contributions to the field of geotechnical engineering.

Impact and Influence:

Tayfun's contributions have significantly impacted the field of geotechnical engineering, particularly in soil mechanics, foundation engineering, and environmental geotechnics. His research has provided valuable insights into soil stabilization methods, dewatering behavior, and the use of innovative materials like fly ash and geotextile tubes. By disseminating his findings through conferences, journals, and academic collaborations, he has fostered knowledge exchange and advancements in geotechnical practices globally.

Legacy and Future Contributions:

As an established figure in geotechnical engineering, Tayfun Şengül's legacy is marked by his comprehensive research, academic endeavors, and professional engagements. His commitment to advancing soil mechanics and foundation engineering is evident through his extensive publications, projects, and lectures. Looking ahead, Tayfun is poised to continue his research, mentor future geotechnical engineers, and contribute further to sustainable and innovative solutions in the realm of soil mechanics and foundation engineering.

By synthesizing his early academic pursuits, professional endeavors, contributions and research focus, accolades and recognition, impact and influence, and legacy and future contributions, Tayfun Şengül emerges as a prominent figure in geotechnical engineering with a profound commitment to advancing the field through research, education, and innovation.

Notable Publication:

Investigating the effects of stabilization carried out using fly ash and polypropylene fiber on the properties of highway clay soils Construction and Building Materials, 2023, 400, 132590

Laboratory determination of smear and transition zones due to prefabricated vertical drain installation Marine Georesources and Geotechnology, 2017, 35(7), pp. 895–904

Effect of polymer and fiber usage on dewatering and compressibility behavior of fly ash slurries Marine Georesources and Geotechnology, 2017, 35(5), pp. 678–687

Dewatering performance of fiber-reinforced fly ash slurry Geotechnical Special Publication, 2014, (243 GSP), pp. 98–107

Determination of a wall performance in multi-layered soil conditions - A case study Geotechnical Special Publication, 2014, (242 GSP), pp. 954–964

Citations:

A total of 27 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :27
  • h-index         :6
  • Documents  :3