Assistant Professor
College of Agricultural & Life Sciences | Department of Biological Systems Engineering
Hometown: Urumqi, Xinjiang, China
Licheng Liu is a researcher at the University of Wisconsin-Madison who develops AI models guided by scientific knowledge to better understand and predict how ecosystems work. His research spans agricultural systems, watersheds, and wetlands, using satellite data and crop and Earth system models to track carbon, nitrogen, and water cycles across landscapes. He has published in journals including Nature Communications, Global Change Biology, and Remote Sensing of Environment. His goal is to turn complex environmental data into practical tools that support farmers, land managers, and communities making decisions about food production, water quality, and natural resources.
Talks can also be offered in Chinese (Mandarin).
Talks:
Smarter Farming With AI
How can AI help us grow food more reliably? This talk explores how combining agricultural science with artificial intelligence produces models that predict crop yields, track water stress, and monitor soil health across the Midwest. Learn how satellite data and smart computing are shaping the future of farming.
Tracking Methane with Smart AI
Methane is a powerful heat-trapping gas released from wetlands, farms, and landfills. This talk explains how we combine Earth system models with AI to track where methane comes from and how much is being released. Learn how scientists use satellites and smart computing to monitor this invisible gas.