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NSF CC* ARCAT GRANT 2025

Accelerating Research Computing at Texas A&M San Antonio (ARCATS)
NSF Campus Cyberinfrastructure (CC*)
Brainstorm Workshop Hands On Training

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Overview

The Accelerating Research Computing at Texas A&M San Antonio (ARCATS) project enhances the university’s cyberinfrastructure to advance research computing capabilities. This initiative is supported by the National Science Foundation (NSF Award #2430335) and led by Principal Investigator Dr. Izzat Alsmadi at Texas A&M University-San Antonio.

ARCATS focuses on developing a strategic plan to improve campus-wide computing infrastructure by addressing existing gaps through expert consultations, training, and collaborations with regional cyberinfrastructure partners. These efforts will strengthen high-performance computing resources, support a diverse research community, and provide students with real-world learning experiences.

Advancing Research & Collaboration

Recognizing the growing importance of data-intensive computational science, ARCATS supports research across various disciplines, including:

  • Genomics & Biology
  • Chemistry & Health Sciences
  • Humanities & Cybersecurity

By fostering collaborations with regional institutions and national research communities, ARCATS integrates Texas A&M-San Antonio into the broader cyberinfrastructure ecosystem, enabling researchers to address complex scientific challenges more effectively.

Impact on Education & Innovation

ARCATS strengthens undergraduate and graduate education by:

  • Providing experiential learning opportunities in computational science.
  • Establishing industry partnerships to enhance workforce readiness.
  • Increasing research productivity and expanding educational outcomes.

Shaping the Future of Research Computing

Through this initiative, Texas A&M University-San Antonio is positioning itself as a leader in advanced research computing in the South Texas region. The ARCATS project not only supports the university’s growth but also serves as a model for smaller institutions seeking to enhance their own research infrastructure.