xiaoyu Zhu | Data Mining | Best Researcher Award

Posted on by sciencefather

Dr. xiaoyu Zhu | Data Mining | Best Researcher Award

Shandong Second Medical University | School of Public Health | China

Dr. Xiaoyu Zhu, is a prominent academic and researcher specializing in social network analysis and applied computational methods. Zhu’s academic journey led him through Shandong Normal University, where he pursued his undergraduate, master’s, and doctoral studies, obtaining a Bachelor’s in Science, a Master’s in Engineering, and a Doctorate in Management. His extensive training in various fields of study, combined with his passion for technological applications, has contributed significantly to his work in social networks, specifically on topics like centrality measures, community detection, and network analysis. Since 2020, Zhu has been a lecturer at Shandong Second Medical University, where he teaches a variety of courses, including “SPSS Software and Applications,” to both undergraduate and postgraduate students. His academic and professional journey showcases a strong commitment to advancing knowledge in the intersection of technology and management.

Profile

Scopus

Education

Xiaoyu Zhu’s educational background is rooted in the rigorous academic environment of Shandong Normal University. He completed his Bachelor’s degree in Science in 2008, followed by a Master’s degree in Engineering in 2013. In 2019, he earned his Doctorate in Management, a culmination of years of dedicated study and research. His doctoral work, which delved into advanced methods in social network analysis and computational algorithms, laid the foundation for his future research endeavors. Zhu’s academic path reflects a blend of disciplines, where scientific methods, engineering principles, and management theory converge to address complex issues in social networks and data science.

Experience

After completing his education, Xiaoyu Zhu transitioned into academia, starting his career at Shandong Second Medical University in March 2020. As a lecturer, he is responsible for teaching courses related to data analysis and statistical software, including “SPSS Software and Applications,” to students across various levels. His role involves both undergraduate and postgraduate instruction, providing a bridge between theoretical concepts and practical applications. His deep knowledge in the fields of network science, computational algorithms, and applied statistics makes him a valuable educator, equipping students with skills needed to analyze and interpret complex data. Zhu’s professional experience also extends to research, where he continues to publish impactful papers on topics such as social network analysis and community detection.

Research Interests

Xiaoyu Zhu’s primary research interests lie in the fields of social network analysis, data mining, and computational algorithms. His work focuses on understanding the structure and dynamics of networks, particularly in the context of signed social networks. Zhu’s studies often explore advanced techniques for identifying key nodes and detecting communities within networks. His research extends to improving the efficiency of centrality measures, such as the Laplacian centrality, and developing evolutionary algorithms for community detection. These interests are informed by the desire to solve real-world problems, particularly in areas where network-based data can be leveraged to make informed decisions. Zhu’s work is an intersection of computational methods, network theory, and applied statistics, pushing the boundaries of how network data can be analyzed and utilized.

Awards

Throughout his academic career, Xiaoyu Zhu has garnered recognition for his research contributions. His innovative work on social network analysis and computational algorithms has earned him accolades within academic circles. In particular, his groundbreaking papers, including those on improving Laplacian centrality and community detection in signed networks, have been widely cited and acknowledged for their contribution to the field. While specific awards and nominations were not listed, the significant impact of his research and the consistent publication in respected journals speaks to his recognition in the academic community. His continued work is expected to bring further accolades as it influences future research and applications in network science.

Publications

Xiaoyu Zhu has made substantial contributions to the field through his published research papers. Below are some of his key publications:

Identifying influential nodes in social networks via improved Laplacian centrality

  • Authors: Zhu, X.; Hao, R.
  • Publication Year: 2024
  • Citations: 0

Identify Coherent Topics for Short Text Data by Eliminating Background Words via Topic Attention

  • Authors: Zhu, X.; Sun, X.
  • Publication Year: 2024
  • Citations: 0

Sign Prediction on Social Networks Based Nodal Features

  • Authors: Zhu, X.; Ma, Y.
  • Publication Year: 2020
  • Citations: 4

Partition signed social networks by spectral features and structural balance

  • Authors: Zhu, X.; Ma, Y.
  • Publication Year: 2019
  • Citations: 0

Clusters detection based leading eigenvector in signed networks

  • Authors: Ma, Y.; Zhu, X.; Yu, Q.
  • Publication Year: 2019
  • Citations: 7

A novel evolutionary algorithm on communities detection in signed networks

  • Authors: Zhu, X.; Ma, Y.; Liu, Z.
  • Publication Year: 2018
  • Citations: 10

These works, published in highly regarded journals, have contributed to the development of new methods for network analysis, particularly in the realm of social networks. Each publication addresses different aspects of network dynamics, from centrality measures to community detection, and has been cited in various other research papers, reflecting their influence in the academic community.

Conclusion

Xiaoyu Zhu’s academic and professional journey is marked by his dedication to advancing the field of social network analysis through innovative computational methods. His education in science, engineering, and management, coupled with his extensive research in network science, positions him as an influential figure in his field. As a lecturer at Shandong Second Medical University, he has been instrumental in educating the next generation of researchers and practitioners, instilling in them the tools necessary for tackling complex data-related problems. His research contributions, especially in the areas of centrality measures and community detection, have garnered attention from both academics and professionals. With a solid track record of publications in high-impact journals, Zhu continues to push the boundaries of knowledge in the analysis of social networks. His continued research promises to influence the way networks are understood and analyzed, particularly in applied settings where network data plays a crucial role.

Zahid Sarwar | Big Data Analytics | Best Researcher Award

Posted on by sciencefather

Dr. Zahid Sarwar | Big Data Analytics | Best Researcher Award

Postdoctoral Researcher | Shanxi University | China 

Dr. Zahid Sarwar is a dedicated academic and researcher in the field of Business Management, currently serving as a postdoctoral researcher at Shanxi University, China. He earned his Ph.D. in Business Management from Dongbei University of Finance and Economics, Dalian, China, where his dissertation focused on enhancing innovativeness through digital capabilities. Dr. Sarwar’s research spans various topics, including strategic management, technology management, digitalization, and sustainable business strategies, all of which are critical to modern organizational success. With a strong background in both theoretical knowledge and practical application, he continues to contribute valuable insights to the academic community, with a focus on the intersection of technology and strategy.

Profile

Scholar

Education

Dr. Sarwar’s academic journey is marked by a robust foundation in Business Management and related fields. He completed his Ph.D. at Dongbei University of Finance and Economics in 2023, where his research examined the role of digital capabilities in enhancing innovation within organizations. Prior to his doctoral studies, he earned a Master’s in Project Management from COMSATS Institute of Information Technology, Abbottabad, Pakistan, where he achieved a CGPA of 3.37/4.0. His undergraduate studies in Business Administration were completed at Gomal University, Pakistan, in 2014, where he graduated with a CGPA of 2970/4200. These academic credentials, along with his diverse experiences, have equipped him with a deep understanding of business management and research methodologies.

Experience

Dr. Sarwar’s professional experience is a combination of research and practical roles. As a postdoctoral researcher at Shanxi University, his current work explores key topics such as information technology, sustainable strategies, and digitalization in management. Before this, he worked as a full-time research assistant at Iqra National University, Pakistan, where he assisted Dr. Ali with various research projects. Additionally, he gained industry experience as an administrative assistant at Lucky Cement Factory Ltd., assisting in routine administrative and procurement activities. These roles have helped Dr. Sarwar develop not only his research skills but also a strong ability to bridge the gap between academia and industry.

Research Interest

Dr. Sarwar’s research interests lie at the intersection of strategic management, digital transformation, and innovation. He is particularly interested in understanding how digital platforms, big data analytics, and technological capabilities can enhance organizational innovation and performance. His work also delves into sustainable business practices, including the role of organizational culture and strategic alignment in fostering long-term business success. Dr. Sarwar is passionate about exploring the dynamic capabilities that organizations can leverage to remain competitive in an increasingly digitalized business environment. His research has profound implications for managers and policymakers seeking to drive innovation through technology and sustainability.

Awards

Dr. Sarwar’s research excellence has been recognized by numerous academic institutions. He received an Honorary Credential Certificate from Dongbei University of Finance and Economics, highlighting his exceptional contributions to the field. He was also awarded the First Prize for Outstanding Paper in 2023 and the Second Prize for Outstanding Paper in 2022, both by Dongbei University of Finance and Economics. These awards reflect his ability to produce high-quality, impactful research that resonates within the academic community. His work continues to be acknowledged for its rigor and relevance in advancing the field of Business Management.

Publications

Dr. Sarwar’s publication record reflects his expertise in strategic management, digitalization, and sustainability. Notable publications include:

Sarwar, Z., Gao, J., & Khan, A. (2024). Nexus of digital platforms, innovation capability, and strategic alignment to enhance innovation performance in the Asia Pacific region: A dynamic capability perspective. Asia Pacific Journal of Management, 41(2), 867-901.

Sarwar, Z., Song, Z. H., Ali, S. T., Khan, M. A., & Ali, F. (2025). Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment. Journal of Innovation & Knowledge, 10(1), 100643.

Sarwar, Z., & Song, Z. (2024). How to improve sustainable business performance: Examining the roles of organizational rationale for sustainability and green organizational culture. Sustainability Accounting, Management and Policy Journal. (Publishing soon)

Gao, J., & Sarwar, Z. (2024). How do firms create business value and dynamic capabilities by leveraging big data analytics management capability? Information Technology and Management, 25(3), 283-304.

Sarwar, Z., & Song, Z. (2023). Machiavellianism and affective commitment as predictors of unethical pro-organization behavior: exploring the moderating role of moral disengagement. Kybernetes.

Sarwar, Z., Khan, M. A., Yang, Z., Khan, A., Haseeb, M., & Sarwar, A. (2021). An Investigation of Entrepreneurial SMEs’ Network Capability and Social Capital to Accomplish Innovativeness: A Dynamic Capability Perspective. SAGE Open, 11(3).

Sarwar, Z., Khan, M. A., & Sarwar, A. (2021). The strategic management model for COVID-19: a race against time: evidence from People’s Republic of China. Gomal University Journal of Research, 37(3), 278-286.

Conclusion

Dr. Zahid Sarwar’s career trajectory showcases a profound commitment to advancing the field of Business Management through rigorous research and scholarship. His focus on digital transformation, sustainable strategies, and innovation reflects the growing demands of today’s global business environment. With numerous publications in top-tier journals and several prestigious awards, Dr. Sarwar has established himself as a significant contributor to both academic knowledge and practical business strategies. His continued research endeavors at Shanxi University promise to further advance our understanding of the complex relationships between digital capabilities, innovation, and sustainability, positioning him as a future leader in his field.