Featuring faculty from across the university, this showcase celebrates TXST Data and AI research from the recipients of the 2025 Catalyst Research Awards.
Thank you to all those that attended.
Event Recap
On February 27th 2026, participants shared brief presentations on their in‑progress and completed research. The event featured faculty from across the university, showcasing six topics highlighting emerging analytics and AI‑driven projects supported through the CADS Catalyst Award program.
The event offered an opportunity for attendees to learn about innovative approaches, explore potential collaborations, and engage directly with researchers building new analytical and AI‑enabled capabilities on campus. Conversations throughout the event reflected the growing demand for interdisciplinary work and the importance of accessible support structures for developing AI‑ready research skills.
CADS is proud to support investigators at all career stages and remains committed to fostering a vibrant community of data‑driven, interdisciplinary scholarship. We look forward to continuing this momentum and celebrating future project milestones in future showcases.
A recording of the presentations can be found on YouTube, and the slide deck used during the event is available on this page.
Recording available!
This event has passed. Click here to view the shared presentation slides.
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Featuring the following research projects:
College of Science & Engineering
Advancing the Automation of Bat Monitoring for Sustainable Wind Energy Development
Dr. Mylene Queiroz de Farias
Associate Professor, Computer Science
Dr. Jelena Tešić
Assistant Professor, Computer Science
Dr. Sarah R Fritts
Associate Professor, Biology
Student: Tao Wenhan
COSE & McCoy
Deploying Financially Sustainable EV Fast Chargers under Long-Term Uncertainty
Dr. Tongdan Jin
Professor, Ingram School of Engineering
Dr. Emily Zhu
Associate Professor, Information Systems and Analytics
FCS & COSE
Generative AI for Qualitative Adolescent Research: Leveraging Large Language Model Prompting
Dr. Yishan Shen
Associate Professor, School of Family & Consumer Sciences
Dr. Veronica Perez-Rosas
Assistant Professor, Computer Science
Dr. Stephen Chen
Psychology, Wellesley College, USA
College of Science & Engineering
Mathematical Methods for Medical Image Segmentation
Dr. Young Ju Lee
Professor, Mathematics
McCoy College of Business
Visualizing the Special Education Teacher Workforce: Evidence From SPARC Year 1 and Three Policy-Facing Data Dashboards
Dr. Li Feng
Professor, Finance and Economics
Monica Arboleda
Joe Jackson
COSE & COLA
Flood-Responsive Traffic Management for Emergency Evacuation
Dr. Tsz-Chiu Au
Associate Professor, Computer Science
Dr. T Edwin Chow
Professor, Geography and Environmental Studies
Meet the authors
Agenda
- 11:00 AM - Welcome & Intro
- 11:15 AM - Generative AI for Qualitative Adolescent Research: Leveraging Large Language Model Prompting
- 11:30 AM - Flood-Responsive Traffic Management for Emergency Evacuation
- 11:45 AM - Deploying Financially Sustainable EV Fast Chargers under Long-Term Uncertainty
- 12:00 PM - Break
- 12:15 PM - Advancing the Automation of Bat Monitoring for Sustainable Wind Energy Development
- 12:30 PM - Mathematical Methods for Medical Image Segmentation
- 12:45 PM - Visualizing the Special Education Teacher Workforce: Evidence From SPARC Year 1 and Three Policy-Facing Data Dashboards
