The rapid increase in both the quantity and complexity of environmental data demands advancement in data analytics. Stemming from water and wastewaster engineering employing data science tools, Prof. Tang’s research aims on multifaceted integration of data science into environmental engineering to revolutionize explorations in the environmental science and engineering field. The problems the lab is striving to solve include making performance forecasts, detecting system anomalies, discovering new materials, and interpreting data-driven findings.

You can use the menu on the top navigation bar to understand more about his research in a structured way. You are also welcome to read the following articles he publishes periodically regarding select portfolio projects with interactive jupyter notebook features to help you explore the beauty of research he is doing!