This annual showcase is a yearly event that includes a student research poster session and an industry panel. Register now to submit your poster and learn more about this upcoming event.
Annual Analytics Showcase
Future
Upcoming events and recent announcements.
Past
Previous ceremonies, news, and announcements.
What to Expect
Open Event
Research Seminars
CADS Research Seminars host presentations that will be of interest to our networks. The scheduled presentations during Fall 23 semester included Dr. Joe Allen (Texas Advanced Computing Center), Dr. Joseph Geunes (Texas A&M University) and Dr. Dincer Konur (TXST).
Collaboration Focused
Research Discussions
CADS also aims to bring together researchers for brainstorming and academic collaborations. In the first session that was held on October 6th 2023, Dr. Jelena Tesic (Computer Science) initiated a brainstorming session about how to put together a competitive team for an NSF Smart Health grant based on her research.
We welcome research proposals or ideas you want to share with an multidisciplinary group that could benefit from relevant data science/analytics or subject domain expertise.
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
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