Dr. Guangkun Ma | Information Technology | Best Researcher Award

Dr. Guangkun Ma is a researcher specializing in intelligent transportation systems, road network analysis, and graph-based machine learning. His work focuses on developing advanced algorithms for heterogeneous road network matching, spatial data integration, and structural representation learning. By combining graph neural networks with multi-source geospatial data, his research enhances the accuracy, robustness, and scalability of road network alignment and mapping. His contributions address practical challenges in urban computing, smart mobility, and geographic information systems, supporting applications such as high-precision navigation, urban planning, and intelligent traffic management. His studies are published in international, peer-reviewed, Scopus-indexed journals, reflecting growing impact in transportation data science.