Summary
Xiaofeng Liu is a Professor of Civil Engineering at Penn State with 11 years of faculty experience and a research focus spanning computational hydraulics, sediment transport, ecohydraulics, and scientific machine learning. Trained at Tsinghua (B.S.), Peking University (M.S.), and the University of Illinois at Urbana-Champaign (Ph.D.), he combines rigorous theoretical grounding with applied modeling to tackle river and environmental flow problems. His career progressed from assistant roles at UT San Antonio and UIUC to a decade at Penn State where he advanced from Assistant to Associate and now full Professor. Xiaofeng is known for integrating machine learning into traditional hydraulic simulations to improve predictive fidelity—a less obvious thread that links his work across sediment dynamics and ecological flow assessment. Based in State College, PA, he blends academic leadership with hands-on computational development to translate complex physics into practical tools for water-resource management.
11 years of coding experience
16 years of employment as a software developer
M.S., Environmental Science, M.S., Environmental Science at Peking University
University of Illinois Urbana-Champaign
B.S., Hydraulic Engineering, B.S., Hydraulic Engineering at Tsinghua University