Byron J. Gao
Office: Comal 311D / Email: bgao@txstate.edu / Phone: (512) 245-0348 / Fax: (512) 245-8750
Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666

Bio
Byron J. Gao is an associate professor of computer science at Texas State University. He joined Texas State in 2008, was a postdoctoral fellow at the University of Wisconsin in 2007-2008, and received Ph.D. in 2007 and B.Sc. in 2003 from Simon Fraser University. His research spans several related fields of data mining, databases, information retrieval, and bioinformatics.

Teaching
Spring 2015:
CS 4315: Introduction to Data Mining and Information Retrieval
CS 5316: Data Mining and Information Retrieval

Research
Recent publications:
* E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Transactions on Knowledge and Data Engineering (TKDE).
Other publications: DBLP
Links: Lab, Group, REUIR, REUIOT
Misc: Best-of-SDM'06 research paper, Best research paper candidate in KDD'07, Erdos number 3

Professional services
PC member: KDD'15, ECML/PKDD'14, ICDM'14, WWW'14 (demo track), ICDM'13, ICDM'12, SDM'12, ICDM'11, ECML/PKDD'11, KDD'11, SDM'11, KDD'10
Reviewer: TKDE, TKDD, DMKD, TEVC, KAIS, DKE, Discrete Applied Mathematics, Computational Intelligence, Applied Intelligence, TSMCB, ESWA

To potential students
- For thesis: In general, you need to take a course/independent study with me first. Check out the following keywords and see if they resonate with you:
data mining, databases, information retrieval, web search, exploratory search, faceted search, clustering, classification, machine learning, bioinformatics, Internet of things, social networks, information extraction, opinion mining, recommendation systems, community information management, personal information management, wikipedia, mass collaboration, craigslist, gene expression analysis, statistics, discrete optimization, web service, LAMP, Hadoop ...

- For independent study: I'm always interested in working with undergraduate and graduate students on fun projects. Check out the following examples:
ClusteringWiki, MASFA