Mr. Cailin Li | Data Integration | Best Researcher AwardΒ
Mr. Cailin Li, Shandong University of Technology, China
Professional Profile:
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.
π Education
- π Bachelor’s Degree in Geographic Information System, Henan University, China (June 2006)
- π Masterβs Degree in Cartography and Geographical Information System, Wuhan University, China (June 2008)
- π Ph.D. in Photogrammetry and Remote Sensing, Wuhan University, China (June 2011)
πΌ Work Experience
- π¨βπ« Lecturer, Department of Software Engineering, Hubei University of Technology, China (July 2011 – September 2013)
- π¨βπ« Lecturer, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (October 2013 – December 2017)
- π Associate Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2018 – December 2022)
- π Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2023 – Present)
π Achievements & Research Grants
- π‘ Principal Investigator of multiple funded research projects in photogrammetry, LiDAR, 3D modeling, and cultural heritage restoration.
- π° Major Research Grants:
- π¬ Shandong Natural Science Foundation (2023-2025) β RMB 100,000
- π¬ National Natural Science Foundation of China (2017-2019) β RMB 228,000
- π Shandong Key Research & Development Program (2018-2019) β RMB 250,000
- π Cultural Heritage Restoration & AR Project (2018-2020) β Self-financed
π Awards & Honors
- π Recognized for contributions to LiDAR-based urban information recognition
- π Published impactful research in remote sensing, GIS, and 3D modeling
- π Recognized for excellence in teaching photogrammetry and GIS applications
PublicationΒ 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
Mr. Cailin Li | Data Integration | Best Researcher Award