Xiaowei Jia

I am an Assistant Professor in the Department of Computer Science at the University of Pittsburgh. I obtained my Ph.D. degree at the University of Minnesota, under the supervision of Prof. Vipin Kumar. Prior to that, I got my B.S. and M.S. from the University of Science and Technology of China (USTC) and State University of New York at Buffalo.

More About Me and My Research


My research is focused on developing data mining and machine learning methods to solve real-world problems with great societal and scientific impacts.

I am looking for self-motivated Ph.D. students who are interested in data mining and machine learning. Please email me your CV if you are interested. More details can be found here.

Physics-Guided Machine Learning

We aim to integrate scientific theory into ML models for knowledge discovery in scientific problems.

Spatial and Temporal Data Mining

Can we use the spatio-temporal remote sensing data to better understand global environmental changes?

Uncertainty Quantification for ML Predictions

We develop new algorithms to quantify model uncertainty so that human interventions can be conducted properly to better manage complex systems.

Active Learning in Scientific Systems

Machine learning solutions are needed to intelligently select the right time and locations to deploy sensors.