Kaiwei Jia | Data factor research | Best Researcher Award

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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)

 

Shiyi Ren | Machine Learning | Best Researcher Award

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Mr. Shiyi Ren – Machine Learning  – Best Researcher Award

The University of Auckland  | New Zealand

Author Profile 

Early Academic Pursuits 🎓

Chengdu University (09/2014 – 06/2018)

Bachelor of Engineering in Vehicle Engineering

He began his academic journey at Chengdu University, where he pursued a Bachelor of Engineering in Vehicle Engineering. This foundational period was instrumental in shaping his technical skills and understanding of engineering principles. His undergraduate studies laid the groundwork for his future research endeavors, particularly in the fields of machine vision and robotics.

Sichuan Agricultural University (09/2018 – 06/2021)

Master of Agriculture in Agricultural Engineering and Information Technology

He continued his academic pursuits at Sichuan Agricultural University, earning a Master of Agriculture in Agricultural Engineering and Information Technology. His master’s research focused on the integration and demonstration of key technologies in the mechanization of potato production, specifically in hilly areas. This project (2018YFD0701103) involved the development and testing of a potato harvester, including the research of potato excavating parts, potato soil separation screens, and soil crushing rollers. This experience honed his skills in agricultural machinery and set the stage for his future research in mechatronics and automation.

 Professional Endeavors 💼

The University of Auckland (05/2022 – Present)

PhD Candidate of Mechatronics Engineering

Currently, he is a PhD candidate at The University of Auckland in the field of Mechatronics Engineering. His research focuses on advanced topics such as machine vision and deep learning. He is involved in pioneering projects, including the real-time prediction and measurement of the in vitro robotic food chewing process. His work aims to enhance the efficiency and accuracy of robotic systems through innovative technology integration.

Internship at CRRC Ziyang Co., Ltd (24/02/2020 – 26/03/2020)

Position: Crankshaft Engineer

During his internship at CRRC Ziyang Co., Ltd, Ren worked as a Crankshaft Engineer. He was responsible for the design of crankshafts, an experience that further solidified his practical engineering skills and his ability to apply theoretical knowledge in real-world industrial settings.

Contributions and Research Focus on Machine Learning 📚

His contributions to the field of engineering are substantial and varied. His research interests include machine vision, deep learning, and agricultural automation. His notable projects include:

  • Machine Vision and Deep Learning-Based Real-time Prediction and Measurement of the In Vitro Robotic Food Chewing Process (01/05/2018 – Present): This ongoing project aims to enhance the predictive capabilities of robotic systems using advanced machine vision and deep learning techniques.
  • Integration and Demonstration of Key Technologies in the Whole Mechanization of Potato Production on a Moderate Scale in Hilly Areas (2018YFD0701103) (01/09/2018 – 01/09/2022): This project focused on developing efficient and effective mechanized solutions for potato harvesting in challenging terrains.

Published Papers and Patents

  • Ren, S., Chen, B., Dhupia, J. S., Stommel, M., & Xu, W. (2023, October). “A Deep Learning System to Quantify and Predict the Chewing Process of Foods.” In ASME International Mechanical Engineering Congress and Exposition (Vol. 87639, p. V006T07A092). American Society of Mechanical Engineers.
  • Ren, S., Chen, B., Wang, X., Dhupia, J., Stommel, M., & Xu, W. (2023, November). “Concept of Real-Time Prediction and Evaluation System of Robotic Food Chewing Using Machine Vision and Deep Learning.” In 2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE.
  • Zürn, M., Kienzlen, A., Klingel, L., Lechler, A., Verl, A., Ren, S., & Xu, W. (2023, August). “Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation.” In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.
  • Ren, S., Wu, X., Shi, D., Jikui, A., & Lv, X. “A Potato Earth Breaking Excavating Device” (Authorization Notice No.: CN 209489155 U).
  • Fu, Y., Ren, S. Y., Tang, P., Leng, Y. C., Chen, X. H., Tu, X. Y., & Lv, X. R. (2023). “Design and simulation test of digging device for small potato harvester.”
  • Wu, T., Zhang, Z., Ren, S., Guo, L., Zhang, Y., & Zeng, Y. (2023, November). “A Hybrid Evolutionary Algorithm for Stochastic Robot Disassembly Line Balancing Problem.” In 2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE.
  • Tang, P., Ren, S., Jikui, A., Liu, Z., & Lv, X. (2021). “Design of a potato stubble cutting machine for side delivery.” In E3S Web of Conferences (Vol. 260, p. 03018). EDP Sciences.
  • Jikui, A., Lv, X., Ren, S., & Yang, H. (2019, April). “Design of hydraulic corn picking device.” In 2019 3rd International Forum on Environment, Materials and Energy (IFEME 2019) (pp. 130-133). Atlantis Press.

 Accolades and Recognition 🏆

His academic excellence has been recognized through several scholarships and awards:

  • 2nd-class scholarship (11/2018, 11/2019)
  • 3rd-class scholarship (11/2020)
  • 2nd Prize of Campus Integrity Culture Competition (10/2020)
  • China Scholarship Council (05/2022)

 Impact and Influence 🌍

His research has a significant impact on both the academic community and practical applications. His work in machine vision and deep learning for robotic systems contributes to advancements in automation technology, with potential applications in various industries, including agriculture and manufacturing. His contributions are particularly relevant in enhancing the efficiency and sustainability of agricultural practices.

 Legacy and Future Contributions 🔮

He is poised to leave a lasting legacy in the fields of mechatronics and agricultural engineering. His innovative research and practical contributions to mechanized systems and robotic technology pave the way for future advancements. As he continues his PhD at The University of Auckland, his ongoing projects and future endeavors are expected to further enhance the field and inspire future researchers and engineers.

Citations

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Notable Publications