Ali Raed Alshawawreh | Data analysis | Best Paper Award

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Prof. Dr. Ali Raed Alshawawreh | Data Analysis  | Best Paper Award

Assistant Professor at Balqa Applied University | Jordan 

Dr. Ali Raed Alshawawreh , a Jordanian scholar and researcher, specializes in electronic marketing and digital business transformation. He earned his Doctorate in Economic and Commercial Sciences from the University of Granada, Spain. His academic journey is rooted in business administration and electronic business, which evolved into a research career focused on digital transformation, e-business adoption, big data analytics, and business intelligence in telecommunications. Beyond academia, he has held multiple managerial and leadership positions in Jordan, reflecting a strong combination of academic excellence and practical business experience. He has authored impactful research works and actively participates in advanced methodological training across Europe.

Profiles

ORCID

Google scholar

Educational Background

  • Doctoral Program in Economic and Commercial Sciences, University of Granada, Spain

    • Doctorate in Electronic Marketing

    • Research Line: Electronic Marketing

  • Master’s Degree in Electronic Business, Middle East University – Jordan

  • Bachelor’s Degree in Business Administration, Middle East University – Jordan

Professional Experience

Dr. Ali Raed Alshawawreh has extensive experience in administration, management, and statistical research within diverse sectors in Jordan. He served as Branch Manager at Khaled Abu-Dush for Cars Spare Parts and as Human Resources Manager at Abu Annab Travel, Tourism, Hajj & Umrah. His leadership skills were further reflected through roles as Team Leader and Field Researcher at the Department of Statistics, Jordan, and Team Leader at Pioneer for Logistics Services. He also contributed as an Administrative Assistant at Al-Ziyada Drug Store. His career highlights a balance between academic research, fieldwork, and business leadership, making him a versatile professional.

Research Interests

  • Electronic Marketing & Digital Business Models

  • E-Business Adoption by SMEs

  • Big Data Analytics and Competitive Advantage

  • Business Intelligence Applications in Telecommunications

  • Digital Transformation in Emerging Economies

  • Customer Loyalty and Technology-driven Marketing Strategies

Publications

Measuring digital transformation impact in Jordan: A proposed framework.

Year :2021 | Citation : 32

Factors Influencing E-Business Adoption by Jordanian SMEs.

Year : 2024 | Citation : 1

Impact of Big Data Analytics on Telecom Companies’ Competitive Advantage.

Year : 2024 | Citation : 29

The impact of business intelligence on customer loyalty in telecommunications companies.

Year : 2025 | Citation : 1

Conclusion

Dr. Ali Raed Alshawawreh stands out as a promising and accomplished scholar whose academic excellence and professional versatility make him a strong candidate for recognition. His contributions to digital transformation, e-business, and electronic marketing provide both theoretical depth and practical relevance in today’s evolving business landscape. With a balance of scholarly rigor, leadership experience, and commitment to innovation, he represents the qualities expected of an award-winning researcher. By continuing to expand his international collaborations and research outputs, he is poised to make an even greater impact in academia and industry alike.

 

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)

 

weixu liu | data analysis | Best Researcher Award

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Assist Prof Dr. weixu liu – data analysis – Best Researcher Award

Department of Computer Science/Anhui Medical University | China

         Profile

🎓Early Academic Pursuits 

Education and Training

He, born on September 9, 1987, in China, has always been deeply passionate about the field of computer science. His academic journey began with a strong foundation in the sciences, which ultimately led him to pursue higher education in this dynamic field. He obtained his doctoral degree (Ph.D.) from the prestigious Zhejiang University in 2022. His research during this period focused on advanced data analysis, specifically in the realm of big data, machine learning, and non-destructive evaluation, laying the groundwork for his future contributions to both academia and industry. His academic achievements were not limited to his formal education; he was actively involved in various research projects and initiatives, even before formally joining the academic workforce.

💼Professional Endeavors 

Academic Positions

After completing his Ph.D., He embarked on a professional career that quickly saw him rise to prominence. In June 2014, he joined Anhui Medical University as an associate professor, deputy director, and master supervisor in the Department of Computer Science. His role at Anhui Medical University not only involves teaching and mentoring the next generation of computer scientists but also leading groundbreaking research projects. His expertise in big data analysis has enabled him to make significant strides in machine learning, structural health monitoring, and non-destructive evaluation. His professional journey is marked by his leadership in various projects, including ten research projects that have been either completed or are currently ongoing.

📚Contributions and Research Focus on Community-Based Collaborative Urban Regeneration Processes

His contributions to the field of computer science are both vast and impactful. He has obtained more than ten authorized national invention patents, over twenty utility model patents, and more than ten national computer software copyrights. His research interests primarily revolve around big data analysis, with a specific focus on machine learning and non-destructive evaluation. He has published over 20 peer-reviewed journal articles, including 8 in SCI and SCIE indexed journals. His work has garnered a citation index of 8 on platforms like Scopus, Web of Science, and PubMed, reflecting the significance and influence of his research in the global scientific community.

🏆Accolades and Recognition 

Throughout his career, He has received numerous awards and recognitions that underscore his excellence in research and innovation. He has been honored with a third-class prize for teaching achievements in Anhui Province, a testament to his dedication to education. Additionally, he has been recognized with eight other awards for his contributions to the field of computer science. As a senior member of the China Instrument and Control Society and a member of the Chinese Society for Vibration Engineering, His expertise is widely acknowledged by his peers. His role as a reviewer for multiple journals and conferences further highlights his standing in the academic community.

🌍 Impact and Influence 

Community Impact

His work has had a profound impact on both academia and industry. His research has led to the successful completion of multiple projects with significant funding, including a notable conversion of scientific and technological achievements worth 500,000 RMB. His involvement in national-level projects, such as the National Natural Science Foundation and various R&D plans, demonstrates his influence in shaping the future of computer science research in China. Moreover, his role as an educator and mentor has empowered countless students to pursue careers in this field, thereby extending his influence to the next generation of computer scientists.

🔮Legacy and Future Contributions 

Looking ahead, He is poised to continue his groundbreaking work in the field of big data analysis. His legacy is already being built through his contributions to research, innovation, and education. As an associate professor, deputy director, and master supervisor at Anhui Medical University, he will undoubtedly continue to mentor and inspire students and researchers alike. His future contributions are likely to focus on expanding the applications of big data analysis, particularly in the areas of machine learning and structural health monitoring. With a strong foundation and a track record of excellence, His impact on the field of computer science will continue to grow, cementing his legacy as a leading figure in the world of data analysis.

📚Publications

An efficient approach for guided wave structural monitoring of switch rails via deep convolutional neural network-based transfer learning

Authors: Liu, W., Tang, Z., Lv, F., Chen, X

Journal: 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning,

Evolution of Knowledge Structure in an Emerging Field Based on a Triple Helix Model: The Case of Smart Factory

Authors: Liu, D., Zhu, Y.P.

Journal: Measurement Science and Technology,

Sliding Window Dynamic Time-Series Warping-Based Ultrasonic Guided Wave Temperature Compensation and Defect Monitoring Method for Turnout Rail Foot

Authors: Tang, Z., Ma, J., Liu, W., Zhang, P., Lv, F.

Journal: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,

Application of compressed sensing in the guided wave structural health monitoring of switch rails

Authors: Tang, Z., Liu, W., Yan, R., Lv, F., Chen, X.

Journal: Measurement Science and Technology,

High‐sensitivity ultrasonic guided wave monitoring of pipe defects using adaptive principal component analysis

Authors: Ma, J., Tang, Z., Lv, F., Zheng, Y., Zheng, Y.

Journal: Sensors,