Shengjie Kris Liu
Profile
Shengjie Kris Liu is currently a PhD candidate in the Spatial Sciences Institute at the University of Southern California. Liu’s work focuses on extracting actionable information from satellite data through training machine learning models, tackling real-world challenges including imperfect data, resource constraints, and open-world scenarios.
He is currently developing data-driven, physics-guided deep learning models to generate temperature data at high spatiotemporal resolution. His work also includes temperature and health, light pollution, hyperspectral and radar imaging, and urban climate. His work has received support or recognition from the AGU Michael H. Freilich Data Visualization Competition, the Climate and Health Science Communication Award 2024 as a finalist, and the IEEE Geoscience and Remote Sensing Society.
As of April 2025, he has published more than 20 papers in peer-reviewed journals and conference proceedings, served on the technical program committee and as session co-chair in the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), and been a reviewer for over 20 journals and conference proceedings.