Interested in honing your research skills, learning about ongoing interdisciplinary research, or building your scholarly network? CADS welcomes researchers and academics alike to our seminars and showcases.
Past Ceremonies and Showcases
2025 1st TXST Data and AI Day (4th TXST Analytics Showcase)
Texas State University recently hosted its inaugural Data & AI Day alongside the 4th Annual Analytics Showcase, bringing together students, faculty, and industry professionals to explore the latest in analytics and artificial intelligence.
The event featured keynote presentations, student research posters, and panel discussions on topics such as AI applications and supply chain resilience. Industry leaders and alumni shared insights on emerging trends and practical applications of data-driven technologies.
The Center for Analytics and Data Science (CADS) proudly served as a sponsor, supporting this collaborative effort to advance data science education and innovation at Texas State.
CADS Collaborative Awards
Data-driven early warning systems against natural hazards- Togay Ozbakkaloglu, Engineering; Semih Aslan, Engineering
IHHC as Predictor of Hospital Readmission Risk for Patients with Diabetes: Analysis using Machine-Leaning Model- Denise Gobert, Physical Therapy; Monica Jamison Hughes, Nursing; Shannon Williams, Physical Therapy; Keri Jackson, APTA
Can Hotspot Policing Reduce Emergency Response Times while Preventing Crime? Using Data Science to Improve the Effectiveness of Directed Police Patrol- Lucia Summers, Criminal Justice; Yihong Yuan, Geography
Auxiliary Diagnostic System- Mylene Farias, Computer Science
Generative Deep Learning for Predicting Engineering Properties of Polymer Modified Asphalt Binders- Hyunhwan Kim, Engineering Technology; Eunsang Cho, Engineering
One-carbon Metabolism Nutrients Intakes, Genetic Susceptibility, and Social Determinants in Association with Diabetes Incidence among the U.S. Hispanic Adults: HCHS/SOL- Jie Zhu, Nutrition; Xiaoxi Shen, Mathematics; Vangelis Metsis, Computer Science
Award Details>>
CADS Innovation Awards
Modeling the Changes in Urban Mobility Patterns during COVID-19- Yihong Yuan, Geography; Feng Wang, Engineering
From Data to Sustainability: A Global Analysis of Carbon Intensity for Green Cloud Computing- Ziliang Zong, Computer Science
Satellite Data Assimilation for Enhanced Flood Modeling Capability- Eunsang Cho, Engineering
Scalable and Efficient Fair Graph Clustering- Chul-Ho Lee, Computer Science; Young-Ju Lee, Mathematics
CADS Archives
Past articles about CADS research.
CADS Research
Stay up to date on the research happening at CADS.