Xueliang Han | Business Intelligence and Analytics | Best Researcher Award

Assoc Prof Dr. Xueliang Han | Business Intelligence and Analytics | Best Researcher Award

Henan University of Economics and Law, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Dr. Xueliang Han’s educational journey began at Henan University of Finance and Economics, where he earned his Bachelor’s degree in Economics from the School of International Economics and Trade in 2009. He then pursued a Master of Business Administration (MBA) at Jinan University School of Management, completing his degree in 2012. This solid foundation laid the groundwork for his PhD in Management from the same university in 2016. Dr. Han’s academic training has shaped his deep understanding of organizational behavior, strategy, and the complexities of family business management.

Professional Endeavors 💼

Dr. Han’s professional career has been marked by a blend of academic excellence and practical experience. Since 2016, he has been an Associate Professor at the School of Business Administration, Henan University of Finance and Economics. His role involves not only teaching but also guiding postgraduate students as a tutor. He has contributed significantly to various national and provincial-level research projects, which underscores his engagement with both academic research and industry trends. Before his academic career, Dr. Han worked at China Life Insurance Co., Ltd. from 2012 to 2013, gaining valuable practical insights into business management.

Contributions and Research Focus 📚

Dr. Han’s research interests revolve around organizational strategy, organizational behavior, and family business theory. He has conducted several groundbreaking studies in these areas, particularly on the dynamics of family businesses in China. His work bridges the gap between theory and practice, offering insights into how organizations, particularly family-run enterprises, can thrive in the competitive business environment. His research has been published in prestigious journals such as Management Review, Psychology Science, and Foreign Economics and Management, highlighting his reputation as a thought leader in his field.

Impact and Influence 🌍

Dr. Han has made a significant impact through his academic contributions, winning numerous awards. His paper received the Mao Lixiang Outstanding Paper Award for Family Business Research and the Annual Outstanding Paper Award from the Management Thought and Business Ethics Professional Committee of the China Management Modernization Research Association. Additionally, his monograph and co-published works have been recognized, further solidifying his reputation in academic circles. His involvement in consulting, especially on industrial transformation and technology innovation, shows his broader influence beyond academia.

Academic Cites 📑

Dr. Han’s research has garnered substantial attention in the academic community. His publications in high-quality journals such as Management Review and Foreign Economics and Management have earned him citations from peers worldwide. This reflects the importance of his work, particularly in the domains of organizational strategy and family business studies. His contributions to the field have helped shape how these areas are understood and applied, both in China and internationally.

Technical Skills 🖥️

Dr. Han possesses a diverse set of technical skills essential for his academic and research endeavors. He has led national-level projects, participated in social and natural science research, and collaborated with various academic and governmental bodies. His knowledge extends into business intelligence, data management, and technological innovations in management systems, making him well-versed in the evolving landscape of business technology.

Teaching Experience 📚👨‍🏫

As a seasoned educator, Dr. Han has taught a variety of courses at Henan University of Finance and Economics. His courses include “Organizational Theory and Organizational Behavior,” “Enterprise Strategic Management,” and “Entrepreneurship and Wealth Inheritance.” He is known for integrating cutting-edge research with practical applications, providing his students with a comprehensive understanding of management theory and its real-world implications. His teaching methods are praised for being interactive, research-oriented, and deeply grounded in both theory and practice.

Legacy and Future Contributions 🔮

Dr. Han’s legacy as an educator and researcher is evident in his awards and the lasting impact of his work. His future contributions are expected to continue shaping the fields of organizational behavior and family business research. He remains committed to advancing knowledge through his academic pursuits and mentoring the next generation of business leaders. With ongoing involvement in key research projects and educational initiatives, Dr. Han’s work will likely influence future management practices in both academic and corporate environments.

Top Noted Publications 📖

 Mitigate cross-market competition caused by the risk of uncertainty and improve firm performance through business intelligence
  • Authors: Han, X., Lin, T.X., Wang, X.
  • Journal: Heliyon
  • Year: 2024
BI&A capability: A discussion on the mechanism of enterprise’s performance improvement
  • Authors: Han, X., Wu, H.
  • Conference: ACM International Conference Proceeding Series
  • Year: 2019

Haixia Mao | Data Science | Best Researcher Award

Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

💼 Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

📚 Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

💻 Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

📚 Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

📖Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016