Yao Hu

Past Postdoctoral Research Fellow
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Yao was a Postdoctoral Research Fellow working with Dustin Goering (NWS NCRFC), Dmitry Beletsky (CIGLR) and Brent Lofgren (NOAA GLERL) to develop decision support tools for agricultural nutrient application timing using the National Water Model framework. The support tools aimed to help agricultural producers maximize nutrient retention on the landscape, while simulating ecological impacts on nutrinet transport from runoff events.

  • Ph.D., University of Illinois at Urbana-Champaign, 2016
  • M.S., Technische Universität Hamburg-Harburg, 2008
  • B.S., Huazhong University of Science and Technology, 2006
Research Interest/Area of Expertise:

I am interested in the interactions between human and environmental systems, in particular how science, technology and policy can work together, bringing us to a new level of understanding our relationships with environment.

Recent Publications: 

Y. Hu, D. Scavia and B. Kerkez. 2018. Are all data useful? Inferring causality to predict flows across sewer and drainage systems using Directed Information and Boosted Regression Trees. Water Research. (DOI:10.1016/j.watres.2018.09.009). [Altmetric Score]

Y. Hu and S. Beattie. 2018. The Role of Heterogeneous Behavioral Factors in an Agent-based Model of Crop Choice and Groundwater Irrigation. Journal of Water Resources, Planning and Management. (DOI:10.1061/(ASCE)WR.1943-5452.0001033).

Y.Hu, C.J. Quinn, X.M. Cai and N.W. Garfinkle. 2017. Combining human and machine intelligence to derive agents’ behavioral rules for groundwater irrigation. Advances in Water Resources. (DOI:10.1016/j.advwatres.2017.08.009).

All Publications

Recent Presentations:

Modeling flows across combined sewer systems using Directed Information and Boosted Regression Trees, 11th International Conference on Under Drainage Modelling (UDM), Palermo, Italy, Sep 23-26, 2018.

A data-driven approach to model flows across combined sewer systems. World Environment and Water Resources Congress (EWRI), Minneapolis, Minnesota, June 3-7, 2018.

Deriving agents’ behavioral rules using directed information graph. Eastlake Forum, Huazhong University of Science and Technology, Wuhan, China, Dec, 26, 2016.

All Presentations