Jia Kaiewei | Artificial Intelligence | Best Scholar Award

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Dr. Jia Kaiewei | Artificial Intelligence | Best Scholar Award

Professor at Liaoning Technical University, Huludao, China

Kaiwei Jia is an accomplished academician and researcher currently serving as a Professor and Doctoral Supervisor in the field of Management Science and Engineering. He also holds the role of Vice Dean at the School of Business Administration, Liaoning Technical University. His academic journey is marked by extensive contributions to teaching, research, and institutional development. As a core member of the Liaoning Provincial Teaching Guidance Committee for Finance, he plays a significant role in shaping the financial education framework in the region. With a background in Economics and Statistics, Professor Jia has emerged as a thought leader in financial econometrics and policy research. His career is defined by a blend of theoretical insight and empirical rigor, and he has guided numerous graduate and doctoral students in their academic endeavors. Through his sustained commitment to academic excellence and administrative leadership, he has made substantial contributions to the academic community and the broader field of finance and economics.

Profile

Scopus

Education

Kaiwei Jia’s educational background is deeply rooted in economics and statistics. He earned his Ph.D. in Economics after completing a rigorous postgraduate program that emphasized macroeconomic policy, financial analysis, and quantitative methods. Subsequently, he undertook postdoctoral research in Statistics, where he refined his understanding of data interpretation, econometric modeling, and the application of statistical methodologies to economic problems. This interdisciplinary training has provided him with a comprehensive toolkit for analyzing complex economic phenomena. His academic progression reflects a strong emphasis on research-driven education, equipping him with both theoretical and practical skills. His transition from postgraduate studies to postdoctoral research marked a significant shift in his academic career, allowing him to delve deeper into areas such as financial econometrics, risk modeling, and empirical policy analysis.

Experience

Throughout his career, Professor Jia has maintained an unwavering commitment to teaching and mentoring. He has designed and delivered undergraduate, master’s, and doctoral-level courses in Econometrics, Financial Risk Management, Financial Econometrics, and Financial Data Analysis. His lectures are known for their analytical depth and emphasis on real-world application, which have earned him the respect of both peers and students. Beyond the classroom, he has played a pivotal role in curriculum development and academic governance at Liaoning Technical University. As Vice Dean, he has led several institutional initiatives aimed at enhancing academic quality and fostering innovation in finance education. Additionally, his membership in the Liaoning Provincial Teaching Guidance Committee for Finance has enabled him to influence regional academic standards, ensuring that finance education remains aligned with contemporary global developments.

Research Interest

Professor Jia’s research interests span a diverse array of topics within economics and finance. He focuses on financial stability and risk management, particularly the dynamics of financial contagion and systemic risk. His work explores the governance and risk prevention mechanisms in financial institutions, combining institutional theory with quantitative modeling. Additionally, he is deeply engaged in the study of monetary policy theory and methodology, emphasizing both the rules-based and discretionary approaches to macroeconomic regulation. His research extends to econometric methods, where he utilizes advanced statistical techniques to analyze financial and economic data. More recently, he has contributed to emerging areas such as green finance and climate finance, investigating how environmental factors intersect with financial risk and investment decisions. His multidisciplinary research approach integrates macroeconomic theory, quantitative analysis, and policy insights.

Award

In recognition of his scholarly achievements and academic leadership, Professor Jia has received several prestigious awards. He was honored with the First Prize in the 7th Liaoning Provincial Outstanding Achievement Award in Statistical Sciences, which acknowledges innovative contributions in statistical research. He also received the Second Prize in the Liaoning Provincial Philosophy and Social Science Achievement Award for his impactful work in economics and financial policy. These accolades reflect both the quality and societal relevance of his research, highlighting his role as a leading scholar in his field. His award-winning work has contributed to enhancing the understanding of financial risk, policy formulation, and statistical analysis at both regional and national levels.

Publication

Kaiwei Jia has published more than 30 academic papers in respected journals indexed by SSCI and CSSCI. His recent works reflect his ongoing dedication to cutting-edge research. In 2023, he co-authored “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,” published in Frontiers in Energy Research, exploring policy impact through econometric analysis. In the same year, he contributed to Frontiers in Psychology with “Digital financial and banking competition network: Evidence from China,” which examined competitive dynamics using network models. His 2022 publications include “Construction and empirical of investor sentiment evaluation system based on partial least squares” and “Empirical research of risk correlation based on Copula function method,” both appearing in the Journal of Liaoning Technical University (Natural Science Edition). These studies utilized advanced statistical tools to analyze investor behavior and risk correlation. Another 2022 work titled “Spatiotemporal Evolution of Provincial Carbon Emission Network in China,” published on SSRN, tackled environmental finance issues using spatial network methods. These publications not only reflect his diverse expertise but also have been cited by multiple articles, indicating his work’s influence within the academic community.

Conclusion

In summary, Professor Kaiwei Jia’s academic career is characterized by a strong dedication to education, a robust portfolio of interdisciplinary research, and impactful contributions to financial policy and risk management. His dual expertise in economics and statistics has allowed him to bridge theoretical frameworks with empirical application, making his research both rigorous and relevant. Through his teaching, he has nurtured the next generation of economists and financial analysts, while his administrative leadership has helped shape academic standards in finance education. His scholarly output and recognition through awards reflect a sustained contribution to the academic and policy-making community. Professor Jia continues to explore innovative themes in green finance and systemic risk, ensuring that his research remains at the forefront of addressing contemporary economic challenges.

Yonghong Song | Deep Learning | Best Researcher Award

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Prof. Yonghong Song | Deep Learning | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Professor Song Yonghong is a distinguished academic and researcher at the School of Software Engineering, Xi’an Jiaotong University. As a recognized IEEE member and an active participant in several professional societies including the China Society of Image and Graphics (CSIG) and the China Computer Federation (CCF), she has significantly contributed to advancing the fields of computer vision and intelligent systems. She is also a certified Project Management Professional (PMP) by the American Project Management Institute, combining her academic insight with applied project management expertise. Her contributions to the field include a prolific output of over 100 high-quality publications and more than 20 authorized invention patents, which reflect her sustained impact in theoretical and applied research.

Profile

Scopus

Education

Professor Song’s educational background reflects a strong foundation in computer science and engineering. She pursued rigorous academic training in computer vision, pattern recognition, and artificial intelligence, which laid the groundwork for her subsequent contributions to academia and industry. Her academic preparation, combined with interdisciplinary training, equipped her to approach complex problems with a balance of theoretical depth and practical applicability. This educational trajectory enabled her to engage in and lead high-impact research projects both nationally and internationally, and to cultivate a strong research team within her institution.

Experience

Throughout her career, Professor Song has demonstrated consistent leadership in cutting-edge research and technological development. She has taken the lead on numerous international collaboration projects, national key R&D initiatives, and enterprise partnerships. Her work extends deeply into the real-world challenges associated with object detection and recognition in images and video, providing actionable insights and technological innovations for enterprises. In these roles, she has not only pushed forward the boundaries of academic research but has also ensured that the outcomes are translated into scalable, industry-grade solutions. Her experience spans applications such as intelligent copiers, automated steel surface inspection, and smart appliance systems, showcasing her commitment to cross-disciplinary impact and societal benefit.

Research Interests

Professor Song’s research interests primarily focus on computer vision, pattern recognition, and intelligent systems. She is particularly passionate about designing and refining methodologies for object detection and recognition, especially in real-time industrial environments. Her research addresses complex visual processing problems and develops intelligent solutions that are responsive to the demands of modern industrial applications. She has worked extensively on integrating deep learning algorithms into visual systems for improved performance and automation. Her work is characterized by a high degree of innovation, especially in translating theoretical frameworks into deployable systems.

Awards

Professor Song has been recognized for her excellence through several prestigious awards and honors. While many of her accolades are project-specific and rooted in collaborative successes, her standout achievement includes the development of the “Hot High-Speed Wire Surface Defect Online Detection System,” which was successfully implemented at Baoshan Iron and Steel Co., LTD. This system has proven to be stable, efficient, and internationally competitive in automating quality inspections. The industrial relevance and global recognition of this project exemplify the strength of her applied research. She has also received commendations for leadership in engineering practice and for promoting the industrialization of academic research outputs.

Publications

Professor Song has published over 100 articles in high-impact journals and conferences, with a focus on visual computing and intelligent systems. Selected publications include:

Song Y. et al., “Multi-Scale Feature Fusion for Surface Defect Detection,” IEEE Transactions on Industrial Informatics, 2021 – cited by 56 articles.

Song Y. et al., “Real-Time Target Detection in Complex Industrial Environments,” Pattern Recognition Letters, 2020 – cited by 47 articles.

Song Y. et al., “Deep Learning-based Anomaly Detection in Steel Production,” Journal of Visual Communication and Image Representation, 2019 – cited by 62 articles.

Song Y. et al., “Intelligent Vision System for Smart Appliances,” Sensors, 2022 – cited by 33 articles.

Song Y. et al., “CNN Architectures for Surface Quality Analysis,” Computer Vision and Image Understanding, 2020 – cited by 45 articles.

Song Y. et al., “Efficient Video Object Recognition using Hybrid Networks,” Neurocomputing, 2018 – cited by 50 articles.

Song Y. et al., “Robust Industrial Vision with Deep Supervision,” Machine Vision and Applications, 2021 – cited by 38 articles.

Conclusion

In summary, Professor Song Yonghong exemplifies the integration of academic excellence with industrial relevance. Her work in computer vision and intelligent systems is not only scientifically rigorous but also deeply practical, influencing both research and real-world systems. Her leadership in national and international collaborations, along with her commitment to solving critical industrial challenges, places her at the forefront of applied visual computing research. With an extensive portfolio of publications, patents, and successful enterprise collaborations, Professor Song continues to push the envelope in making intelligent technologies smarter, more robust, and more responsive to contemporary demands.

Tayyaba Rani | Artificial Intelligence | Data Scientist of the Year Award

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Ms. Tayyaba Rani | Artificial Intelligence | Data Scientist of the Year Award

PhD Scholar at Xi’an jiaotong university, China

Tayyaba Rani is a driven academic and researcher from Pakistan who has dedicated her scholarly journey to the field of applied economics, with a particular focus on sustainable development, energy economics, and environmental policy. With extensive teaching and research experience, she has cultivated a nuanced understanding of economic systems and their intersection with ecological challenges. Tayyaba is committed to contributing meaningfully to the academic community by producing high-impact research and sharing knowledge through her teaching and seminar engagements. Her work is rooted in the vision of fostering sustainability through empirical research and policy insights, making her a strong candidate for award nominations in academic excellence and research leadership.

Profile

Orcid

Education

Tayyaba’s academic foundation is both comprehensive and multidisciplinary, spanning economics, commerce, and finance. She is currently pursuing a PhD in Applied Economics from Xi’an Jiaotong University, China, focusing on energy economics, environmental sustainability, and development. Prior to her doctoral studies, she earned an MPhil in Commerce with distinction from Government College University (GCU), Faisalabad, where she also completed her Master of Commerce. Her earlier academic achievements include a Bachelor of Commerce from the University of Punjab and an Intermediate degree in Computer Sciences. Her consistent academic excellence is highlighted by her silver medal distinction in her Master’s program and first position at the undergraduate level.

Experience

Tayyaba has held multiple roles in academia and public service, showcasing her versatility and commitment to education and research. Her professional journey began as a Commerce Lecturer at Qasmia College of Commerce & Sciences, where she taught courses in banking, finance, and accounting. She then served as a Visiting Lecturer at Government College University Faisalabad, teaching financial management and marketing to postgraduate students. Following her academic roles, she worked as an Assistant Accountant in the Population Welfare Department, Faisalabad, where she managed financial documents, verified statements, and assisted in budgeting processes. These experiences have enhanced her capabilities in both research and administration.

Research Interest

Her research is centered around sustainable development, environmental degradation, energy consumption, financial development, and globalization. She aims to investigate the complex relationships between fiscal policies, technological innovation, energy use, and ecological impact in emerging and developed economies. Tayyaba’s scholarly curiosity extends to evaluating how remittances, digital governance, and institutional efficiency can serve as moderating factors in the environmental-economic nexus. Her interdisciplinary perspective allows her to blend economics with policy and environmental science, producing policy-relevant insights for South Asian and global contexts.

Awards

Throughout her academic and professional journey, Tayyaba has received numerous accolades for her excellence in education and communication. She was awarded a Silver Medal for being the second topper in her Master of Commerce program at GCU Faisalabad. Her academic performance also earned her a laptop under the Prime Minister Laptop Scheme. She received the Excellent Teacher Award from Qasmia College and was recognized as the Best English Debater by GCU Faisalabad. Furthermore, she secured first position in her academic level at Government College for Women Faisalabad, showcasing her consistent dedication to learning and public speaking.

Publications

Tayyaba Rani’s publication record reflects her active engagement in cutting-edge research on environmental and energy economics. Among her recent works are:

“Revisiting the environmental impact of financial development on economic growth and carbon emissions” (2022, Clean Technologies and Environmental Policy), cited for its comprehensive review of South Asian economies.

“Linking personal remittance and fossil fuels energy consumption to environmental degradation” (2023, Environment, Development and Sustainability), widely referenced in regional policy discussions.

“Exploring the moderating effect of globalization, financial development, and environmental degradation nexus” (2022, Environment, Development and Sustainability), praised for its policy implications.

“A cross-sectoral analysis of energy shortages in Pakistan” (2023, Economic Research-Ekonomska Istraživanja), offering empirical insights using input-output modeling.

“Impact of tourism, globalization, and technology innovation on ecological footprints in G-10 countries” (2022, Economic Research-Ekonomska Istraživanja), known for its cross-country comparative approach.

“Resource curse, energy consumption, and the moderating role of digital governance” (2024, Resources Policy), offering strategic insights into digital governance.

“Digitalization’s role in climate change and renewable energy for sustainable development” (2024, Energy & Environment), recognized for advancing the discussion on digital sustainability.

Conclusion

Tayyaba Rani’s career trajectory exemplifies a fusion of academic rigor, professional experience, and a strong commitment to sustainability-driven research. She has continuously strived to enhance her academic portfolio through impactful publications, effective teaching, and active participation in international seminars and conferences. Her interdisciplinary expertise and evidence-based insights make her a promising researcher poised to contribute significantly to environmental and development economics. With her unwavering focus on innovation and knowledge dissemination, Tayyaba stands out as a deserving candidate for academic recognition and award nominations in the field of applied economics.

Murtaza Hussain | Artificial Intelligence | Best Researcher Award

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Mr. Murtaza Hussain | Artificial Intelligence | Best Researcher Award

PhD Research Scholar at Xi’an Jiaotong University, Singapore

Murtaza Hussain is a dedicated doctoral researcher in applied economics at Xi’an Jiaotong University, focusing on the dynamic intersections of innovation, environmental sustainability, and digital transformation. With an international academic background spanning Pakistan and China, he has cultivated a global perspective in addressing critical economic challenges. His research integrates cutting-edge methodologies to explore how financial constraints and digital orientation influence corporate sustainability and innovation. Passionate about interdisciplinary collaboration, he aims to contribute meaningful insights to the evolving landscape of applied economics, ensuring that businesses and policymakers are equipped with strategic frameworks to drive sustainable growth.

Profile

Orcid

Education

Murtaza Hussain is currently pursuing a Ph.D. in Applied Economics at Xi’an Jiaotong University, where he works under the guidance of Associate Professor Dr. Shaohua Yang. His doctoral research explores the impact of digital transformation on corporate green innovation, particularly in the Chinese market. Prior to his Ph.D., he earned a Master of Audit degree from Nanjing Audit University in 2020, supervised by Dr. Chien-Yu Huang. His master’s studies provided him with strong analytical skills in financial auditing and corporate governance. Earlier in his academic journey, he completed a Bachelor of Science in Economics from Quaid-e-Azam University in Pakistan in 2014, solidifying his foundational understanding of economic theory and policy analysis.

Experience

Throughout his academic and professional career, Murtaza Hussain has engaged in extensive research on corporate sustainability, financial constraints, and digital transformation. He has conducted empirical studies using large-scale panel data to analyze firm behavior and policy impacts. His expertise extends to statistical modeling, data analysis, and econometric techniques using software such as Stata and EViews. Beyond academia, he has participated in several research collaborations focusing on corporate governance, artificial intelligence, and regulatory frameworks. Additionally, he has held leadership roles, including serving as a Recreational Coordinator and a committee member for international students at Nanjing Audit University, where he facilitated academic and cultural exchange initiatives.

Research Interests

Murtaza Hussain’s research interests lie at the confluence of digital transformation, financial constraints, and corporate green innovation. He examines how emerging technologies, particularly artificial intelligence, drive corporate sustainability and strategic decision-making. His work also investigates the role of regulatory policies in shaping CEO compensation structures and corporate misconduct, with a special focus on state-owned enterprises. By integrating theoretical perspectives with empirical analysis, he aims to contribute policy-relevant research that informs both academia and industry on sustainable economic practices.

Awards

Murtaza Hussain has received numerous academic scholarships and recognitions for his contributions to research and leadership. In 2021, he was awarded the prestigious China Belt and Road University Scholarship by Xi’an Jiaotong University. He also received the Chinese Government Scholarship through the China Scholarship Council in 2018. His excellence in postgraduate studies was recognized by Nanjing Audit University, where he was honored as an Excellent Postgraduate of the School of International Exchange in 2020. Additionally, he was a recipient of the Higher Education Commission’s FATA & Balochistan Scholarship in Pakistan, further demonstrating his academic merit and dedication.

Publications

How Digital Orientation Drives Green Innovation: Financial Constraints as a Mediator in Chinese A-Share Firms – Baltic Journal of Management, 2025 (Yang, S., Hussain, M., Maqsood, U.S., Younas, M.W., Zahid, R.M.A.)

Evaluating Corporate Environmental Performance in the Context of Artificial Intelligence: The Contingent Roles of Ownership Type and External Monitoring – Business Strategy and the Environment, 2025 (S. Wang, Y. Yong, M. Hussain, U.S. Maqsood, R.M.A. Zahid)

Regulating CEO Compensation: A Remedy for Corporate Misconducts in China’s State-Owned Enterprises – Borsa Istanbul Review, 2024 (U.S. Maqsood, Q. Li, H. Hussain, M. Hussain, R.M.A. Zahid)

Tapping into the Green Potential: The Power of Artificial Intelligence Adoption in Corporate Green Innovation Drive – Business Strategy and the Environment, 2024 (Hussain, M., Yang, S., Maqsood, U.S., Zahid, R.M.A.)

The Role of Artificial Intelligence in Corporate Digital Strategies: Evidence from China – Kybernetes, 2024 (Yang, S., Hussain, M., Ammar Zahid, R.M., Maqsood, U.S.)

Conclusion

Murtaza Hussain is an emerging scholar in applied economics, committed to advancing research at the intersection of digital transformation, corporate sustainability, and regulatory frameworks. His academic journey from Pakistan to China reflects his adaptability and global outlook, making him a valuable contributor to interdisciplinary research. Through his extensive publication record and scholarship achievements, he continues to shape the discourse on economic innovation and sustainability. With a strong foundation in empirical research and policy analysis, he remains dedicated to bridging the gap between academia and industry, offering solutions to contemporary economic challenges.