Zhiguo Shi | Big Data Analytics | Outstanding Scientist Award

Published on by Business Global Awards

Outstanding Scientist Award

Zhiguo Shi
Big Data Research Center, University of Science and Technology Beijing, China
Zhiguo Shi
Affiliation Big Data Research Center, University of Science and Technology Beijing
Country China
Scopus ID 57199774338
Documents 79
Citations 386
h-index 9
Subject Area Big Data Analytics
Event Business Global Awards

Zhiguo Shi, a professor and doctoral supervisor associated with the Big Data Research Center at the University of Science and Technology Beijing. His academic and professional activities are primarily concentrated in the fields of big data analytics, intelligent systems, digital governance, urban data infrastructure, and artificial intelligence applications. Over the course of his academic career, Shi has contributed to research initiatives, technological innovation programs, government-supported digital infrastructure projects, and standards development activities related to large-scale data systems and intelligent computing environments.[1]

Abstract

Zhiguo Shi has established an academic profile centered on the integration of big data systems, intelligent analytics, urban digital infrastructure, and artificial intelligence applications. His research activities have included participation in national and regional research initiatives, development of government-oriented data governance systems, and publication of scholarly work related to data-driven intelligent systems. Shi has additionally contributed to the formulation of technical standards and platform-level innovation projects connected to public-sector digital transformation and smart city technologies.[2]

Keywords

Big Data Analytics, Artificial Intelligence, Intelligent Systems, Smart Cities, Urban Data Platforms, Digital Governance, Data Infrastructure, Machine Learning, Scientific Research, Data Standardization

Introduction

The increasing importance of data-driven technologies in governance, industry, and scientific research has led to expanded academic attention toward big data analytics and intelligent computational systems. Researchers working in this field often contribute not only through theoretical advances, but also through the implementation of scalable data infrastructures and applied innovation initiatives. Within this context, Zhiguo Shi has been associated with multiple projects involving data governance, AI-enabled applications, and intelligent urban systems in China.[1]

Zhiguo Shi obtained his doctoral degree in engineering from the Institute of Software of the Chinese Academy of Sciences in 2008. Following his doctoral studies, he joined the University of Science and Technology Beijing and progressed through academic positions including lecturer, associate professor, and professor. His leadership roles have included service as Director of the Big Data Research Center and participation in multiple scientific committees and laboratory initiatives focused on data systems and future city technologies.[3]

Research Profile

Zhiguo Shi’s research profile combines academic scholarship with applied technological development in public-sector and industrial environments. His documented research interests include big data systems, intelligent computing architectures, data governance methodologies, machine learning applications, and smart urban management technologies.[2]

He has supervised and participated in multiple nationally funded scientific projects, including initiatives supported by the National Natural Science Foundation of China and collaborative technology programs related to public digital infrastructure. His research activities have addressed psychological modeling through expression sequence analysis, blockchain-enabled governance platforms, AI industry service systems, and urban knowledge-base development projects for emerging smart city ecosystems.[4]

  • Big data analytics and intelligent systems research
  • Government-oriented data governance and management systems
  • Artificial intelligence infrastructure and application platforms
  • Urban digitalization and smart city technologies
  • Technical standards and data platform engineering

Research Contributions

Zhiguo Shi has contributed to the advancement of data infrastructure systems and public-sector digital governance through a combination of academic research and applied technological development. He has participated in the drafting and implementation of technical standards associated with government data platforms and digital governance frameworks.[2]

His professional activities also include leadership roles in major operational projects involving Beijing’s large-scale data management systems. These initiatives included platform operation services, data aggregation capabilities, AI infrastructure deployment, and smart sensing systems intended to support administrative efficiency and digital governance modernization.[4]

In addition to platform engineering activities, Shi has participated in interdisciplinary innovation efforts associated with future city technologies, intelligent robotics competitions, and vertical large-model applications. These activities demonstrate a continuing focus on translating academic knowledge into scalable technological applications.

Publications

Zhiguo Shi has authored and co-authored numerous scholarly publications related to big data systems, intelligent analytics, and applied artificial intelligence. His publication portfolio includes journal articles, conference proceedings, technical reports, and standards-oriented contributions.[1]

  • More than 79 indexed academic documents
  • Research publications in big data and intelligent systems
  • Participation in government and industry technical standards
  • Multiple invention patents associated with digital systems research
  • Collaborative research contributions in smart governance technologies

Selected scholarly outputs and indexing records are associated with DOI-based academic referencing systems and Scopus indexing databases.

Research Impact

Zhiguo Shi can be observed through his combination of academic publishing activity, project leadership, technology deployment, and educational contributions. His work has supported the development of operational data systems and governance technologies in Beijing and other emerging urban innovation environments.[2]

Zhiguo Shi has also received recognition in teaching and innovation-related activities. These include distinctions connected to higher education teaching performance, scientific advancement, and applied technology competitions. His contributions illustrate the interdisciplinary relationship between academic scholarship and public digital transformation.[3]

Award Suitability

Zhiguo Shi demonstrates characteristics commonly associated with recognition through scientific achievement awards. His documented contributions include interdisciplinary research, scientific publication activity, leadership in major data infrastructure projects, participation in national and regional innovation programs, and contributions to technical standardization.[2]

His involvement in large-scale public digital systems and intelligent platform development further reflects the practical relevance of his research activities. These accomplishments align with evaluation criteria frequently associated with international scientific recognition programs focused on innovation, impact, research productivity, and technological advancement.[4]

Conclusion

Zhiguo Shi has developed a multidisciplinary academic and technological profile centered on big data analytics, intelligent systems, digital governance, and smart urban technologies. Through research publications, project leadership, standards development, and applied innovation activities, he has contributed to the evolving landscape of data-driven infrastructure and intelligent public systems. His academic record and professional engagement support the relevance of his recognition within the context of the Outstanding Scientist Award presented through the Business Global Awards framework.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Zhiguo Shi, Author ID 57199774338. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57199774338
  2. H Chang, S Han, Z Shi, S Hu 2023 9th International Conference on Systems and Informatics (ICSAI), 2023. Limited resources multi-object tracking by utilizing motion cue from the meanshift algorithm
    https://ieeexplore.ieee.org/abstract/document/10423322/
  3. S Hu, X Zhang, Z Shi 2023 2nd International Conference on Machine Learning, Control …, 2023.> Student Expression Recognition Algorithm Based on TransConv
    https://ieeexplore.ieee.org/abstract/document/10475474/
  4. X Yao,. & Z Shi, XJ Du. Concurrency and Computation: Practice and Experience, (2023) Android malware detection based on sensitive features combination
    https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.7555

Kaiwei Jia | Data factor research | Best Researcher Award

Published on by Business Global Awards

Mr. Kaiwei Jia –  Data factor research – Best Researcher Award

Alignment with Award Category

Professor Jia’s multi-disciplinary expertise, policy relevance, and proven scholarly output position him as a strong fit for the Best Researcher Award or Excellence in Innovation category. His academic publications, authoritative books, and active role in statistical and economic policymaking embody the kind of sustained excellence and impact that this award seeks to recognize.

Liaoning Technical University| China

Profile

Orcid

Scopus

🎓Early Academic Pursuits 

Education and Training

From the onset of his academic career, Professor Kaiwei Jia demonstrated an exceptional aptitude for economics and statistics. After completing his postgraduate education, he went on to earn a Ph.D. in Economics, further cementing his commitment to understanding and influencing financial systems. Not one to rest on his laurels, he pursued postdoctoral research in statistics, developing a strong foundation in data-driven economic analysis. This combination of economics and statistics would later become the cornerstone of his teaching, research, and professional endeavors.

💼Professional Endeavors 

Academic Positions

Professor Jia currently serves as the Vice Dean of the School of Business Administration at Liaoning Technical University, where he plays a pivotal role in shaping academic strategies and curricula. His influence extends beyond his university role; he is also an esteemed member of the Liaoning Provincial Teaching Guidance Committee for Finance, a platform through which he contributes to the broader academic development of financial education in the province. His academic titles include Professor and Doctoral Supervisor in Management Science and Engineering, roles that signify his leadership in the field and his commitment to mentoring the next generation of economists and researchers.

📚Contributions and Research Focus on Data factor research

Professor Jia’s research interests span a wide range of critical and contemporary topics. He focuses on Financial stability and risk management, Governance and risk prevention of financial institutions, Monetary policy theory and methodology, Econometric methods and Green finance and climate finance. This diversity reflects his understanding of the dynamic nature of financial systems and the growing importance of sustainability in economic policy. His work in climate finance and green finance is especially noteworthy, addressing the urgent need for environmentally responsible financial practices.

🏆Accolades and Recognition 

Professor Jia’s scholarly contributions have earned him several prestigious awards are First Prize, 7th Liaoning Provincial Outstanding Achievement Award in Statistical Sciences and Second Prize, Liaoning Provincial Philosophy and Social Science Achievement Award. These accolades reflect not only the academic rigor of his work but also its societal relevance and impact.

🌍 Impact and Influence 

Community Impact

Through his research, teaching, and professional service, Professor Jia has made notable contributions to the understanding of financial contagion and financial system security. His analytical frameworks and models are used by scholars and policymakers alike, particularly in addressing challenges related to financial crises and systemic risks. His expertise in monetary policy and econometric methods continues to influence both academic research and financial regulation strategies.

🔮Legacy and Future Contributions 

As a doctoral supervisor, Professor Jia is actively shaping the next generation of researchers. His mentorship is marked by a balance of theoretical rigor and practical application, encouraging students to tackle pressing economic issues with innovative methods. Looking forward, his work in green and climate finance positions him at the forefront of sustainable financial research, a field of growing importance in the era of climate change. His legacy will likely include a body of research that not only advanced academic knowledge but also provided solutions to real-world financial and environmental challenges.

 

Conclusion

Professor Kaiwei Jia embodies the ideal blend of scholar, educator, and thought leader. His career is marked by excellence in academic teaching, rigorous research, and meaningful contributions to policy and practice. From his foundational work in econometrics to his pioneering research in financial risk and climate finance, he has continually pushed the boundaries of knowledge. With numerous publications, awards, and leadership roles, Professor Jia has established a formidable legacy—one that will inspire future scholars and shape the field of economics and finance for years to come.

📚Publications

Research on the Impact of Data Factors on Enterprise Green Innovation—Evidence from Chinese Manufacturing Enterprises

Authors: K., Jia, Kaiwei

Journals: Sustainability (Switzerland), 

Did the “double carbon” policy improve the green total factor productivity of iron and steel enterprises? a quasi-natural experiment based on carbon emission trading pilot

Authors: :Xu, W.; Jiang, C.; Jia, K.; Yu, X.

Journals: Frontiers in Energy Research

Digital financial and banking competition network: Evidence from China

Authors: Jia, K.; He, Y.; Mohsin, M.

Journals: Frontiers in Psychology

Construction and empirical of investor sentiment evaluation system based on partial least squares,偏最小二乘的投资者情绪评价体系构建及实证

Authors:  Li, B.; Zhao, B.; Wu, J.; Jia, K.

Journals: Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)

Empirical research of risk correlation based on Copula function method,基于 Copula 函数方法的风险相关性实证研究

Authors:  Li, B.; Zhao, B.; Jia, K.; Wu, J.

Journals: Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)