Faculty mentors (in alphabetical order):

Dr. Byron J. Gao

Byron J. Gao received Ph.D. and B.Sc. in Computer Science from Simon Fraser University, Canada, in 2007 and 2003 respectively. He was a postdoctoral fellow at the University of Wisconsin - Madison before joining Texas State University - San Marcos in 2008. His research spans several related fields including data mining, databases, information retrieval, and bioinformatics.


Dr. Yijuan (Lucy) Lu


Dr. Yijuan (Lucy) Lu joined in Texas State University in 2008. She has conducted research in multimedia and computer vision for many years. Her research interests include Multimedia, Computer Vision, Machine Learning and Data Mining. Current research in her lab focus on exploring intelligent algorithms that perform visual perception and understanding tasks such as object recognition, image annotation, image understanding and image retrieval etc, that give rise to semantically meaningful interpretations of multimedia information (image and video). These information would be very useful in multimedia information retrieval, image, video understanding and other applications.


Dr. Vangelis Metsis

I am an Assistant Professor at the Department of Computer Science at Texas State Univeristy. I joined the deparment in August 2014.

My research interests span the areas of Machine Learning, Data Mining and Computer Vision with focus in applications of Smart Health and Wellbeing, Assisted Living and Bioinformatics.

I earned my B.S. degree in 2005 from the Department of Informatics of the University of Economics and Business of Athens in Greece, and my Ph.D. in 2011 from the Department of Computer Science and Engineering of the Univeristy of Texas at Arlington (UTA), under the supervision of professors Fillia Makedon and Heng Huang.

After receiving my Ph.D. dimploma, and until joining TxState, I was employed, as a Research Assistant Professor by UTA, and I continued to be affiliated with Heracleia Human-Centered Computing Lab, where I was involved with several federally-funded research projects, as a Co-PI or Senior Researcher. I also taught a number of graduate and undergraduate classes at the CSE department.

During the years 2006-2007, I worked as a Research Associate for the E.C. funded project MedIEQ at the Department of Informatics and Telecommunications of the National Center for Scientific Research (NCSR) "Demokritos", Greece.


Dr. Anne Ngu


I am a full professor at the Department of Computer Science at Texas State University. I have many years of experience in research and development in IT with expertise in integrating data and applications, automating scientific and business processes on the web, service oriented computing, databases and Internet of Things (IoT) technologies. I have worked in different countries and institutions as a researcher, including Institute of Systems Science in Singapore, Tilburg University in the Netherlands, Telcordia Technologies, Lawrence Livermore National Laborartory, CSIRO in Australia, University of  California at Berkeley, and MCC in Austin, Texas. From 1992-2000, I worked as a Senior Lecturer in the School of Computer Science and Engineering, University of New South Wales (UNSW) where I specialized in the teaching and research in databases. I also hold an adjunct Associate Professor position at UNSW. Dr. Ngu was one of the recipients of NCWIT Undergraduate Research mentoring Award in 2013.


Dr. Habil Zare

I am an assistant professor in the Department of Computer Science at Texas State University, and an adjunct assistant professor in the Department of Cellular and Structural Biology at the University of Texas Health Science Center - San Antonio. I am the Principal Investigator of Oncinfo Lab.

I received my Ph.D. from the University of British Columbia (UBC) in 2011. Prior to my current position, I was a researcher at British Columbia Cancer Agency in Canada, and also in the Department of Genome Sciences at the University of Washington. I am a bioinformatician and computational biologist, and my primary interest is focused on developing new machine learning algorithms for analyzing complicated, large size, and rich biological data.


Graduate student mentor:



* Adam Anderson
* Christopher Bell
* Calvin He
* Thomas Hsiao
* Catherine Pena
* Andrew Polican
* Karinia Rard
* Yeahuay Wu
* Philip Yao
* Brock Yarbrough
* Aamir Zainulabadeen

RET Participants

* Brian Gray

* Deborah Kariuki