Shengjie Kris Liu

I specialize in analyzing satellite big data with advanced computing (AI for Earth) to address global challenges and support the United Nations Sustainable Development Goals. My research spans crop mapping, radar and hyperspectral imaging, air quality, urban climate & health, and artificial light at night. I developed the first open world classification method in remote sensing, a highly cited contribution and baseline method in the field. My recent work includes three papers exploring the health impacts and inequalities linked to daily temperature variation, an overlooked health factor. To date, I have 18 first-author papers in leading journals and conference proceedings such as PNAS Nexus, ISPRS Journal of Photogrammetry and Remote Sensing, Social Science & Medicine, Urban Climate and IEEE Transactions on Geoscience and Remote Sensing. My works have received more than 600 citations. I am a peer-review referee with over 90 reviews conducted for 19 journals and conference proceedings. My research has attracted attentions from prominent media outlets, including the United Nations PreventionWeb, Science News, Smithsonian Magazine, and Le Monde (France).