Prof. Chaoying Tang | Data Mediator | Best Researcher Award

Prof. Chaoying Tang | Data Mediator | Best Researcher Award

Prof. Chaoying Tang, University of Chinese Academy, China

Chaoying Tang is a professor at the School of Economics and Management, University of Chinese Academy of Sciences, specializing in creativity development and management. She earned her Ph.D. in Management Science from the Graduate School of the Chinese Academy of Sciences in 2005 and has since led numerous research projects funded by the National Natural Science Foundation of China and the Ministry of Science and Technology. Her work explores breakthrough innovation in high-tech industries, R&D team creativity, and knowledge networks. She has received several prestigious awards, including the President’s Honorary Award of the Chinese Academy of Sciences and the Zhu Liyuehua Excellent Teacher Award. As a dedicated researcher and educator, she has contributed significantly to the study of innovation management and talent development in scientific and technological fields.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award โ€“ Prof. Chaoying Tang

Professor Chaoying Tang is a highly accomplished researcher in creativity development and management, with a strong record of leading national and international research projects. Her work on breakthrough innovation, R&D team creativity, and knowledge networks has contributed significantly to the field of management science and innovation studies.

๐ŸŽ“ Education & Work Experience

  • Ph.D. in Management Science (2005) โ€“ Graduate School of the Chinese Academy of Sciences
  • Professor โ€“ School of Economics and Management, University of Chinese Academy of Sciences
  • Researcher โ€“ Specializing in creativity development and management

๐Ÿ† Achievements

  • Led multiple National Natural Science Foundation of China (NSFC) projects, focusing on breakthrough innovation, high-tech industries, and R&D team creativity
  • Chaired an Innovation Method Research project under the Ministry of Science and Technology
  • Participated in the EU Erasmus+ CReativity E-Modules in Education project (2015-2018)
  • Conducted research on the management system of German Science & Technology Societies

๐ŸŽ– Awards & Honors

  • ๐Ÿ… President’s Honorary Award โ€“ Chinese Academy of Sciences (2004)
  • ๐Ÿฅ‰ Third Prize โ€“ Beijing Science and Technology Progress Award (2006)
  • ๐Ÿฅˆ Second Prize โ€“ Teaching Achievement Award, Chinese Academy of Sciences (2008)
  • ๐Ÿ“œ Best Conference Paper Award โ€“ International Technology Innovation Management Conference (2009)
  • ๐Ÿ† Annual Best Paper โ€“ International Journal of Chinese Human Resources Management (2012)
  • ๐Ÿ… Best Reviewer Award โ€“ Creativity and Innovation Management (SSCI) (2020)
  • ๐ŸŽ“ Zhu Liyuehua Excellent Teacher Award โ€“ Chinese Academy of Sciences (2021)

Publicationย Top Notes:

Navigating Inter-Team Competition: How Information Broker Teams Achieve Team Innovation

FsQCA analysis of differences of two kinds of scientific and technological talentsโ€™ growth environment

Intrinsic motivation and knowledge sharing in the moodโ€“creativity relationship

The influence of subjective norms and science identity on academic career intentions

The effects of creative personality on scientist creativity

Mr. Cailin Li | Data Integration | Best Researcher Award

Mr. Cailin Li | Data Integration | Best Researcher Awardย 

Mr. Cailin Li, Shandong University of Technology, China

Cailin Li, Ph.D., is a Professor in the Department of Surveying and Mapping Engineering at the School of Civil Engineering and Geomatics, Shandong University of Technology, China. He holds a Bachelor’s degree in Geographic Information Systems from Henan University (2006), a Master’s degree in Cartography and Geographical Information Systems from Wuhan University (2008), and a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2011). With extensive academic experience, he has served as a Lecturer at Hubei University of Technology and later at Shandong University of Technology, where he was promoted to Associate Professor in 2018 and Professor in 2023. His research focuses on LiDAR point cloud fusion, 3D laser scanning, photogrammetry, and cultural heritage restoration. He has secured multiple research grants, including funding from the National Natural Science Foundation of China and the Shandong Natural Science Foundation. Additionally, he teaches courses on photogrammetry, data structures, and UAV-based low-altitude photogrammetry applications.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Dr. Cailin Li, a Professor at Shandong University of Technology, is a highly qualified candidate for the Best Researcher Award, given his outstanding contributions to photogrammetry, remote sensing, and geographic information systems (GIS). His work focuses on LiDAR-based urban intelligence, 3D modeling, and cultural heritage restoration, making significant advancements in both theoretical and applied research.

๐Ÿ“Œ Education

  • ๐ŸŽ“ Bachelor’s Degree in Geographic Information System, Henan University, China (June 2006)
  • ๐ŸŽ“ Masterโ€™s Degree in Cartography and Geographical Information System, Wuhan University, China (June 2008)
  • ๐ŸŽ“ Ph.D. in Photogrammetry and Remote Sensing, Wuhan University, China (June 2011)

๐Ÿ’ผ Work Experience

  • ๐Ÿ‘จโ€๐Ÿซ Lecturer, Department of Software Engineering, Hubei University of Technology, China (July 2011 – September 2013)
  • ๐Ÿ‘จโ€๐Ÿซ Lecturer, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (October 2013 – December 2017)
  • ๐Ÿ… Associate Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2018 – December 2022)
  • ๐ŸŽ“ Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2023 – Present)

๐Ÿ† Achievements & Research Grants

  • ๐Ÿ“ก Principal Investigator of multiple funded research projects in photogrammetry, LiDAR, 3D modeling, and cultural heritage restoration.
  • ๐Ÿ’ฐ Major Research Grants:
    • ๐Ÿ”ฌ Shandong Natural Science Foundation (2023-2025) โ€“ RMB 100,000
    • ๐Ÿ”ฌ National Natural Science Foundation of China (2017-2019) โ€“ RMB 228,000
    • ๐Ÿ› Shandong Key Research & Development Program (2018-2019) โ€“ RMB 250,000
    • ๐ŸŽญ Cultural Heritage Restoration & AR Project (2018-2020) โ€“ Self-financed

๐Ÿ… Awards & Honors

  • ๐Ÿ† Recognized for contributions to LiDAR-based urban information recognition
  • ๐Ÿ“– Published impactful research in remote sensing, GIS, and 3D modeling
  • ๐Ÿ… Recognized for excellence in teaching photogrammetry and GIS applications

Publicationย Top Notes:

Research on Multi-Source Data Fusion Urban Functional Area Identification Method Based on Random Forest Model

POI Data Fusion Method Based on Multi-Feature Matching and Optimization

Semantic Segmentation of Point Cloud Scene via Multi-Scale Feature Aggregation and Adaptive Fusion

Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation