Dr. Liao is a professor of Computer Science at Central Michigan University
- Ph.D., Computer Science and Engineering, University of Notre Dame, 2011
- M.S., Computer Science and Engineering, University of Notre Dame, 2008
- B.S., Computer Science, Hartwick College, 2005
- Computer and network security
- Anomaly detection
- Visual analytics
- Graph data mining
- Economics/game theory for cybersecurity
Ting Li and Qi
Liao. Dynamic networks analysis and visualization through spatiotemporal link segmentation. In Proceedings of the IEEE International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, July 5-7 2016. BEST SESSION PAPER.
Lei Shi, Chen Wang, Zhen Wen, Huamin Qu, Chuang Lin, and Qi
Liao. 1.5D egocentric dynamic network visualization. IEEE Transactions on Visualization and Computer Graphics (TVCG), 21(5):624-637, May 2015.
Liao, Lei Shi, and Chen Wang. Visual analysis of large-scale network anomalies. IBM Journal of Research and Development, SI: Massive-Scale Analytics, 57(3/4):13:1-13:12, May-July 2013.
Lei Shi, Qi
Liao, and Chunxin Yang. Investigating network traffic through compressed graph visualization. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST) Challenge Workshop, VisWeek'12, Seattle, WA, October 14-19 2012. Award: Good adaptation of graph analysis techniques.
Liao, Andrew Blaich, Aaron Striegel, Douglas Thain, "ENAVis: Enterprise Network Activities Visualization," In Proceedings of the USENIX 22nd Large Installation System Administration Conference (LISA '08), San Diego, CA, November 9-14, 2008. USENIX BEST PAPER AWARD.