Catalyst Awards

Catalyst Research Award Winners

For the inaugural TXST CADS 2024 Catalyst Research Awards, we are glad to have received 15 high-quality submissions from 23 faculty in 12 departments/schools. After the extensive review of the evaluation committee of five faculty and staff, TXST CADS is excited to provide four CADS 2024 Innovation Seed Awards and six CADS 2024 Collaborative Growth Awards. We are looking forward to providing tailored research support services to all submissions and serving faculty to further develop their research goals.

CADS Innovation Awards

Modeling the Changes in Urban Mobility Patterns during COVID-19Yihong 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 ClusteringChul-Ho Lee, Computer Science; Young-Ju Lee, Mathematics

CADS Collaborative Awards

Data-driven early warning systems against natural hazardsTogay 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 SystemMylene 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