Assist Prof Dr. Haiyang Lyu | Servicing Award | Best Researcher Award
Assist Prof Dr. Haiyang Lyu ,School of Internet of Things, Nanjing University of Posts and Telecommunications, China
Dr. Lu Haiyang is a distinguished lecturer and technical expert in the field of Geographic Information Systems (GIS) and cartography. He obtained his Ph.D. in Cartography and Geographic Information Systems from Nanjing University after completing his bachelor’s degree in Geographic Information Systems at Henan University of Science and Technology. Dr. Lu’s academic journey also took him to George Mason University in the United States for a research visit, enriching his expertise in geography and geographic information science.His research primarily focuses on advanced topics such as modeling GNSS trajectory data and the construction and updating of road networks for vehicle operators across various countries. Dr. Lu has made significant contributions to the field, including hosting a National Natural Science Foundation project on road information acquisition methods using mobile phone multi-modal sensor stream data. He has also been involved in multiple projects funded by the National Natural Science Foundation of China, addressing complex issues like three-dimensional field-oriented basis functions and geographic data integration.Dr. Lu Haiyang’s academic achievements extend beyond his research projects, with over 10 published papers in reputable domestic and international journals. His dedication to advancing geographic sciences and his expertise in GIS make him a respected figure in the academic community, contributing actively to the understanding and application of spatial data in modern technological landscapes.
Professional Profile
THE DESIGN of SCALABLE WEB GIS MICROSERVICE FRAMEWORK for UNDERGRADUATE EDUCATION
Bump feature detection of the road surface based on the Bi-LSTM
Line Structure Extraction from LiDAR Point Cloud Based on the Persistence of Tensor Feature
Point Cloud Segmentation from iPhone‐Based LiDAR Sensors Using the Tensor Feature
Movement-aware map construction
Extracting invariant characteristics of sketch maps: Towards place query-by-sketch