معرفی
Dr. SONG Jun serves as a Research Assistant Professor in the Department of Geography at Hong Kong Baptist University and is an active member of the Smart Society Lab. His work bridges artificial intelligence with geographical and environmental challenges, focusing on practical urban sustainability solutions.
His academic credentials include:
- Ph.D. from Imperial College London (2017-2021)
- M.Sc. and B.Sc. from Southwest Jiaotong University, China (2010-2016)
Dr. SONG pioneers AI-driven geographical analysis, environmental monitoring systems, and smart city infrastructure. His research develops machine learning frameworks for air pollution mapping, methane monitoring optimization, and pandemic exposure reduction through IoT networks. Key methodologies integrate deep learning with spatiotemporal data to address climate resilience in Chinese urban contexts.
His 2021-2023 publications reveal a strong trajectory in applying computer vision to transportation systems and neural networks to environmental sensing. The work spans climate science, public health, and urban informatics, with notable emphasis on carbon management and pandemic response infrastructure in China.
Major recognitions include:
- China Youth Entrepreneurship Award (2017)
- Cloud-Guizhou Young Scientist Award (2018)
- AI Challenger Award (2018)
As Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence, Dr. SONG contributes to academic discourse while serving on the Beijing-Tianjin-Hebei Big Data Association's Environment Protection Committee and the Yangtze River Delta Carbon Neutrality Strategic Development Committee. His Smart Society Lab initiatives focus on real-world AI deployment for sustainable urban development.
