Licheng Liu
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Knowledge-Guided Machine Learning (KGML) for agricultural and natural ecosystem modeling
Assistant Professor, Biological Systems Engineering College of Agricultural and Life Sciences Work: 608-262-7493 — Home and cell phones available upon request licheng.liu@wisc.edu Home page
Topics
- Agroecosystem carbon, water, and nutrient modeling
- Global natural methane dynamics modeling
- Foundational AI-Ready benchmarking dataset and AI tools development
- AI integration with process-based models for interpretable prediction
- Multimodal data fusion for environmental monitoring and prediction
Achievements
- Established and co-led AI for Natural Methane (AI4NM) working group, coordinating 50+ scientists to advance methane monitoring, data harmonization, and AI-driven climate research.
- Developed knowledge-guided machine learning integrating process-based models with AI to improve accuracy and interpretability in ecosystem modeling.
- Developed PyKGML, an open-source framework enabling integration of mechanistic models with deep learning for carbon, nitrogen, and greenhouse gas prediction.