Email: Tiantian.Yang@ou.edu
Office: Carson Engineering Center, Room 301B
Education
Ph.D., Mechanical Engineering/System Optimization (2015)
University of California Irvine
M.S., Civil Engineering (2010)
University of California Irvine
B.S., Civil Engineering (2009)
Tsinghua University, Beijing
Dr. Yang is an associate professor at the University of Oklahoma, School of Civil Engineering and Environmental Science. His research focuses on water resources management, hydrological forecasting, weather and climate impacts on complex water-energy system operation, especially at the Subseasonal-to-Seasonal (S2S) scale. A good portion of his research is also devoted to the application and development of advanced Artificial Intelligence, Machine Learning, Deep-Learning, and Explainable AI approached towards hydrology and water resources problems.
Hydrology, water security, water resources management, reservoir operation, hydropower scheduling, artificial intelligence, data-mining, coupled human-natural systems, optimization theory, hydrologic model calibration, climate change, impacts of climate change on water-energy system, water-energy-food nexus, remote sensing precipitation
