Dr. Yun Yu | Digital economy |Best Researcher Award

Dr. Yun Yu | Digital economy |Best Researcher Award

Southwestern University of Finance and Economics | China

Author Profile

Scopus 

Early Academic Pursuits

Yun Yu, Ph.D., embarked on her academic journey with a strong foundation in the sciences, pursuing a Bachelor of Arts in Information and Computing Science at Xihua University. This early stage of her education sharpened her analytical thinking, logical reasoning, and problem-solving skills—qualities that would later play an essential role in her transition to the fields of finance and economics. Driven by curiosity and the desire to understand complex systems, she continued her studies with a Master’s degree in Finance at the University of Electronic Science and Technology of China. This period of academic growth exposed her to the multifaceted dimensions of financial systems, market mechanisms, and investment strategies. Building upon this foundation, she pursued a doctoral degree in Applied Economics at the Southwestern University of Finance and Economics. Throughout her early academic years, Yun Yu consistently demonstrated perseverance, intellectual versatility, and an eagerness to bridge the gap between quantitative methods and real-world economic applications.

Professional Endeavors

Beyond her academic development, Yun Yu has immersed herself in professional activities that reflect her commitment to advancing both theory and practice. Her professional endeavors have been closely tied to teaching, research, and collaborative projects that integrate economics, finance, and digital transformation. In her roles, she has engaged in data-driven analyses, developed innovative solutions for supply chain management, and applied quantitative methods to address pressing challenges in the digital economy. Whether through guiding students, contributing to institutional research initiatives, or engaging in cross-disciplinary partnerships, her career is characterized by a balance of academic rigor and practical insight. This combination has allowed her to bridge the worlds of academia and industry, ensuring that her work remains relevant and impactful in an era of rapid technological change.

Contributions and Research Focus

Yun Yu’s research interests converge on three critical domains: the digital economy, supply chain management, and quantitative methodologies. In exploring the digital economy, she investigates how digitalization reshapes business models, consumer behavior, and organizational strategies. Her work in supply chain management reflects a keen understanding of global interconnectivity, resilience, and efficiency, offering solutions that enhance sustainability and adaptability in uncertain markets. Methodologically, she employs advanced techniques such as experimental design, survey design, structural equation modeling (SEM), multilevel modeling (HLM), and network analysis, supported by strong proficiency in statistical tools like R, Stata, and SPSS. These contributions not only enrich academic literature but also provide policymakers, business leaders, and educators with actionable insights. By combining theoretical innovation with practical relevance, Yun Yu has positioned herself as a scholar whose research addresses contemporary challenges with rigor and clarity.

Accolades and Recognition

Throughout her academic and professional journey, Yun Yu has garnered recognition for her scholarly dedication and impactful research contributions. Her work has been acknowledged in academic forums, conferences, and collaborative projects, underscoring the significance of her contributions to the fields of applied economics and finance. She has earned respect not only for her technical expertise but also for her ability to mentor and inspire students and colleagues. While formal awards and distinctions highlight her achievements, perhaps the most meaningful recognition comes from the influence her work has had in shaping discussions around the digital economy and supply chain strategies. These acknowledgments reflect her role as both a rising thought leader and a dedicated contributor to her field.

Impact and Influence

The impact of Yun Yu’s work extends across multiple domains—academia, industry, and society. Her research into the digital economy contributes to a deeper understanding of how digital tools and platforms reshape global commerce, policymaking, and everyday life. In supply chain management, her insights provide organizations with frameworks to anticipate risks, optimize processes, and harness technological advancements. Her methodological expertise has influenced how quantitative research is conducted and applied, encouraging more rigorous, data-driven decision-making. Moreover, her dedication to teaching and mentoring has empowered the next generation of scholars and practitioners to adopt innovative perspectives and pursue excellence. Yun Yu’s influence thus lies not only in her published work but also in the intellectual and professional growth she inspires in those around her.

Legacy and Future Contributions

Looking ahead, Yun Yu is poised to leave a lasting legacy through her continued engagement with cutting-edge research, cross-disciplinary collaborations, and contributions to both academic and applied fields. Her trajectory suggests a future marked by significant contributions to the understanding of digital transformation, particularly its implications for global economics and organizational resilience. By advancing scholarship in supply chain management and refining methodological approaches, she is likely to shape the standards of research excellence in her domain. Her legacy will also be reflected in the students she mentors, the colleagues she collaborates with, and the institutions she strengthens through her leadership. As the global economy continues to evolve in the face of digitalization and disruption, her work will remain a cornerstone for researchers, practitioners, and policymakers striving to navigate and harness these changes.

Notable Publications

“Positive” or “Threatened”? The impact of the features in generative artificial intelligence on continued behavior

Authors: Li Zhao, Yun Xu, Sheng-kai Zhou
Journal: Computers in Human Behavior
Year: 2025

Fostering User Attachment to Generative Artificial Intelligence — A Theoretical Perspective Based on Awe and Gamification

Authors: Li Zhao, Yun Xu, Sheng-kai Zhou, Ping Wang
Journal: International Journal of Human–Computer Interaction
Year: 2025

Conclusion

Yun Yu’s academic and professional journey exemplifies the qualities of a dedicated scholar and influential leader. From her early academic pursuits in computing and finance to her advanced research in applied economics, she has consistently demonstrated intellectual rigor, methodological expertise, and a forward-looking vision. Her contributions to the study of the digital economy and supply chain management not only enrich academic discourse but also hold practical relevance for contemporary challenges. Recognized for her achievements and respected for her influence, Yun Yu’s impact continues to grow. Her future contributions are expected to further advance knowledge, inspire innovation, and solidify her legacy as a prominent figure in applied economics and related fields.

Mr. Pengwei Zhu | Decision-making and Problem-solving | Best Researcher Award

Mr. Pengwei Zhu | Decision-making and Problem-solving | Best Researcher Award

Bank of Beijing, China

Author Profile

ORCID

Early Academic Pursuits

Pengwei Zhu’s academic journey began with a deep-rooted curiosity about the intricate workings of the human brain and statistical analysis. His pursuit of excellence led him to the University of Texas Health Science Center at Houston, where he earned his Ph.D. in Biostatistics. During his doctoral studies, Zhu delved into the emerging field of adolescent brain development, particularly focusing on connectivity analysis in brain networks. This early specialization positioned him at the intersection of neuroscience and statistical modeling—an interdisciplinary space that would come to define his career. His work was not merely theoretical; it was underpinned by a vision of how data, when harnessed intelligently, could drive innovation across fields like mental health, artificial intelligence, and public health.

Professional Endeavors and Research Leadership

Dr. Zhu currently serves as a Postdoctoral Researcher at the Bank of Beijing, a unique institutional choice reflecting his versatility and interdisciplinary skillset. His career is a testimony to how deep research acumen can be applied beyond academia to inform business intelligence and AI-driven financial systems. He has led and contributed to six significant research projects, with a strong emphasis on sustainability, public health modeling, and cutting-edge artificial intelligence. Among these, his principal investigator role in the ABCD (Adolescent Brain Cognitive Development) brain network study stands out for its depth and societal relevance.

Moreover, his leadership in modeling COVID-19 reopening strategies underscores his ability to pivot his expertise toward urgent global challenges. These models were not merely statistical artifacts; they provided decision-makers with actionable insights during a public health crisis, showcasing his commitment to societal impact.

Contributions and Research Focus

Dr. Zhu’s research spans across a compelling range of topics: Artificial Intelligence and Sustainable Systems, Biostatistics, Epidemiological Modeling, and Computational Neuroscience. A hallmark of his work is the integration of advanced machine learning algorithms, such as Graph Neural Networks (GNNs) and deep learning, with foundational statistical techniques. This allows him to unearth insights from high-dimensional and complex datasets—be it brain imaging data or multimodal economic data.

One of his most notable technical achievements is the development and patenting of an AI-based financial report generation method, bridging cognitive computing with practical financial applications. Through his work, Dr. Zhu demonstrates how computational tools can go beyond prediction to actively generate knowledge and create solutions tailored to real-world demands.

Accolades and Recognition

Although relatively early in his career, Dr. Zhu has begun building a formidable academic footprint. He has four peer-reviewed publications in respected journals spanning neuroscience, public health, and artificial intelligence, reflecting the multidimensional impact of his work. Furthermore, his patents—one published and one under process—underscore his drive toward innovation and his commitment to pushing the boundaries of research toward real-world utility.

In recognition of his emerging influence, he holds membership in key professional organizations, including the Council of the Clinical Research Statistics Professional Committee and the World Federation of Chinese Medicine Societies. These affiliations demonstrate not only his technical competence but also his engagement with broader scholarly and translational networks.

Impact and Influence

What sets Dr. Zhu apart is his ability to translate complex models into systems that influence both policy and practice. His contribution to public health strategy during the pandemic—through quantitative models that informed reopening strategies—is an example of research directly shaping decisions on a national and global scale.

Additionally, his interdisciplinary ventures—from neuroscience to fintech—are reflective of a new generation of scholars who are transcending academic silos. The patented AI-driven financial reporting system he helped pioneer shows immense potential to revolutionize how institutions process and interpret financial data, leading to greater efficiency, transparency, and strategic insight.

Legacy and Future Contributions

Looking forward, Dr. Zhu envisions a research trajectory that continues to bridge theoretical innovation with practical transformation. His future contributions are likely to extend into multimodal generative AI systems, with applications across medicine, finance, and environmental sustainability. Given the growing importance of ethical and sustainable AI, his work on a strategic investment framework for responsible AI development is timely and holds the promise of setting standards for future research and implementation.

His interdisciplinary grounding ensures that he is not confined to a single domain; instead, he is poised to become a leader in cross-cutting research that addresses some of the most pressing challenges of our time—from mental health in adolescents to data-driven governance in economic systems.

Notable Publications

Construction and Experimental Verification of Automatic Classification Process Based on K-Mer Frequency Statistics

Author: Pengwei Zhu
Journal/Book: Lecture Notes in Networks and Systems (Book Chapter)
Year: 2025

Assessing Impact of Strategic Investments on Development of Sustainable Artificial Intelligence Dynamics

Authors: Pengwei Zhu, Yiwan Sun
Journal: Sustainable Futures
Year: 2025.

 Mathematical Modeling of Business Reopening When Facing SARS-CoV-2 Pandemic: Protection, Cost, and Risk

Authors: H. Miao, Q. Gao, H. Feng, C. Zhong, P. Zhu, L. Wu, M.D. Swartz, X. Luo, S.M. DeSantis, D. Lai, et al.
Journal: Frontiers in Applied Mathematics and Statistics
Year: 2020

Mathematical Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk

Authors: H. Miao, Q. Gao, H. Feng, C. Zhong, P. Zhu, L. Wu, M.D. Swartz, X. Luo, S.M. DeSantis, D. Lai, et al.
Journal: arXiv
Year: 2020