Jing Gao

2022 Early Career Academic Achievement Alumni Award

In 2011, Professor Jing Gao graduated with a PhD from the Grainger College of Engineering at the University of Illinois Urbana-Champaign. She is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. Before joining Purdue, she was an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo. 

She is broadly interested in data and information analysis with a focus on data mining. In particular, she is interested in information veracity analysis, crowdsourcing, knowledge graphs, multi-source data analysis, text mining, anomaly detection, transfer learning, data stream mining as well as various data mining applications in healthcare, social science, transportation, cybersecurity and education. 

Jing is a recipient of NSF CAREER Award, ICDM Tao Li Award and SDM/IBM Early Career Data Mining Researcher Award. She has taken leadership roles in the community, as shown in her editorship with ACM Transactions on Intelligent Systems and Technology, and senior program committee membership in the top conferences in data mining. She is a proud advisor of many excellent current and former PhD students. Her graduated PhD students joined Penn State, Iowa State and Georgia State University as tenure-track faculty, and industry labs such as Google Research and Alibaba DAMO Academy as research scientists.