I am a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, and Director of the Texas A&M Institute of Data Science. My research combines the foundations and applications of data science and computer networking, currently graph stream sampling, network measurement and resilience, and applications of data science to transportation and hydrology.
Further information about my work
- Personal webpage including publication list
- Google Scholar (H-index 61 from over 15,000 citations)
- DBLP; MathSciNet; US Patent and Trademark Office
Positions available
- NSF Funded PhD assistantship in graph data stream sampling and learning
- Postdoc position in applications of data science to transportation or agriculture
If you are interested in either of these positions, please send me email including resume, transcripts, and a statement of your interest in the position.
Recent news
- Oct 2018: Announced as Director of Texas A&M Institute of Data Science
- Sep 2018: NSF Grant 1808551 Awarded: Real-Time Learning-Mediated Control for Traffic Shaping
- Aug 2018: Paper: A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games accepted for ICDM 2018
- Aug 2018: New Grant Awarded: Advanced Traffic Analysis For Network Virtualization
- Aug 2018: NSF Grant 1848596 Awarded: Adaptive Sampling of Massive Graph Streams
- Aug 2018: PhD student Yixiao Feng completes his internship at Regeneron Pharmaceuticals
- Jul 2018: Research Visit to Mathematical Institute, Oxford, UK
- Apr 2018: Paper: Sampling for Approximate Bipartite Network Projection accepted to IJCAI-ECAI-2018
- Apr 2018: TPC Co-Chair for ACM Sigmetrics / Performance 2019
- Apr 2018: TPC for IEEE BigData 2018
- Apr 2018: Preprint: Graph Reconstruction from Path Correlation Data
- Apr 2018: PhD student Hanzi Mao will intern this summer at Pinterest
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