Kaiwei Jia | Data factor research | Best Researcher Award

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

Alignment with Award Category

Professor Jia’s multi-disciplinary expertisepolicy 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

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🎓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)

 

Fang Ren | information science | Best Researcher Award

Dr. Fang Ren – information science – Best Researcher Award

Alignment with Award Category

Fang’s accomplishments align perfectly with the goals of the Oncology Award, as his contributions to the cybersecurity field have profound implications for the healthcare industry. In particular, his work on medical image authentication and secure transmission of health data addresses critical issues in the protection of patient information. As the healthcare sector becomes increasingly reliant on digital systems, Fang’s innovations in cryptography will play a significant role in safeguarding patient privacy and ensuring the integrity of medical data.

 

Xi’an University of Posts and Telecommunications | China

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🎓Early Academic Pursuits 

Education and Training

Ren Fang’s academic journey began with a strong foundation in the field of computer science and mathematics. He completed his Bachelor’s degree in Computer Applications from Xidian University in December 2002. His pursuit of knowledge and passion for cryptography led him to a Master’s degree in Basic Mathematics from Northwestern University in 2007. Fang’s academic curiosity then took him to Xidian University, where he earned his PhD in Cryptography in 2012. These formative years laid the groundwork for his future contributions to the field of cybersecurity and cryptography.

💼Professional Endeavors 

Academic Positions

Fang’s professional career has been closely aligned with academia and research. Since 2012, he has been an integral part of Xi’an University of Posts and Telecommunications, where he holds the position of Associate Professor in the School of Cyberspace Security. His work as an educator and researcher in the Department of Communication and Information Engineering has had a profound impact on the academic community. Between 2012 and 2019, he served as a Lecturer and Associate Professor before transitioning to his current role in 2019. Throughout his career, Fang has been dedicated to advancing the field of cryptography, focusing on algorithms that improve security in cyberspace.

📚Contributions and Research Focus on information science

Fang’s research primarily revolves around cryptography, information security, and cybersecurity, specifically focusing on public key cryptography algorithms, digital signature algorithms, and data encryption methods. His work on enhancing the security of public key cryptography has led to significant advancements in the protection of sensitive data across various digital platforms. He has contributed to the development of new code-based linkable threshold ring signature schemes, symmetric information hiding schemes, and digital signature algorithms based on QC-LDPC codes. His contributions are not only theoretical but have practical applications as well. For example, his research into public key cryptography has been implemented in real-world projects, such as those funded by the Shaanxi Provincial Department of Science and Technology. His work in the development of a digital signature algorithm based on checksum decoding problems was funded in part by this department and successfully completed in 2022. Fang’s contributions to the field are recognized through his numerous journal articles, conference papers, and patents, including work on medical image authentication and information hiding.

🏆Accolades and Recognition 

Fang has received recognition both from academic institutions and the broader scientific community for his contributions to cryptography and information security. His work has earned him several academic awards, including the Shaanxi Provincial Department of Education Natural Science Research Award. His significant contributions have also been recognized through several patents, including those related to medical image authentication and dynamic distributed certificate management schemes. Additionally, Fang’s research has led to published papers in prestigious journals such as Wireless Communications and Mobile Computing, Journal of Information Science and Engineering, and IET Information Security.

🌍 Impact and Influence 

Community Impact

Ren Fang’s work has had a far-reaching impact on the cybersecurity and cryptography fields. His innovative research on digital signature algorithms and encryption schemes has contributed to making communication networks more secure. Additionally, his work on information hiding and image authentication has practical applications in industries such as healthcare and digital media, where data security is paramount. His teaching efforts at Xi’an University of Posts and Telecommunications have nurtured a generation of researchers and practitioners who are now advancing the field further.

 

🔮Legacy and Future Contributions 

Looking ahead, Fang’s research is poised to continue shaping the future of cybersecurity and cryptography. As cyber threats evolve, the need for more advanced security measures grows, and Fang’s ongoing work in cryptographic algorithm development is integral to meeting these challenges. His legacy will be defined not only by his publications and patents but also by the research he inspires and the professionals he mentors. His future contributions are expected to be at the forefront of securing digital communication, protecting sensitive data, and tackling emerging challenges in cybersecurity.

Conclusion

Ren Fang’s academic achievements, professional endeavors, and research contributions demonstrate his unwavering commitment to advancing the field of cryptography and information security. His impactful research, coupled with his role as an educator, positions him as a leading figure in the cybersecurity landscape. Fang’s legacy will undoubtedly continue to influence the evolution of secure communication systems, particularly in the healthcare industry. As cybersecurity challenges grow in complexity, Fang’s work will remain essential in providing innovative solutions to ensure data privacy and security across all sectors

📚Publications

  • Image analysis by fractional-order weighted spherical Bessel-Fourier moments

    Authors: T., Yang, Tengfei, Z., Liu, Zhiquan, J., Guo, Jingjing, F., Ren, Fang, T., Wang, Teng

    Journals: Pattern Recognition, 2025

    Reversible data hiding scheme in encrypted images based on homomorphic encryption and pixel value ordering

    Authors: F., Ren, Fang, Y., Hao, Yanli, K., Pang, Kexin, Z., Wu, Ziyi

    Journals: Multimedia Tools and Applications, 2024

    Data Hiding and Authentication Scheme for Medical Images Using Double POB

    Authors: F., Ren, Fang, X., Shi, Xuan, E., Tang, Enya, M., Zeng, Mengmeng

    Journals: Applied Sciences (Switzerland), 2024