banner
NSF IUCRC AMRITAS Planning Meeting
(AI/ML driven Research for Infrastructure Trust Assurance and Sustainability)
 

The University of Wyoming is hosting the National Science Foundation (NSF) funded Industry University Cooperative Research Center (IUCRC) on AI/ML driven Research for Infrastructure Turst Assurance and Sustainability (AMRITAS) Planning Meeting.

This page will be updated regularly to provide most up-to-date information about this planning meeting and locations.


For help finding the specific locations on campus, consult the on-line UWyo campus map. map

For questions about this page or IUCRC AMRITAS Planning Meeting, please contact Dr. Diksha Shukla: dshukla@uwyo.edu.

NSF IUCRC AMRITAS Planning Meeting



The University of Wyoming (UWyo) is hosting the planning meeting for the Industry-University Cooperative Research Center (IUCRC) on AI/ML-driven Research in Infrastructure Trust Assurance and Sustainability (AMRITAS) in collaboration with Colorado State University (CSU). This initiative aims to explore the feasibility of a university-industry partnership that leverages artificial intelligence (AI) and machine learning (ML) to enhance the security, resilience, and trustworthiness of critical infrastructure.

The IUCRC AMRITAS will address pressing challenges in infrastructure development, cybersecurity, and trustworthiness across United States with a specifc focus on Wyoming, Colorado, and the broader region. By fostering interdisciplinary collaboration among researchers, industry partners, government agencies, and national laboratories, the center seeks to develop cutting-edge solutions that prioritize safety, security, ecological integrity, and economic viability.

Key Research Focus Areas:

  • Infrastructure Trust and Assurance: Developing high-assurance AI/ML models to mitigate risks from cyber threats, system failures, and adversarial attacks.
  • Trustworthy and Resilient Infrastructure: Advancing AI-driven solutions to ensure long-term ecological and economic growth.
  • Cyber-Physical System Security: Strengthening security protocols in industries such as energy, transportation, finance, smart agriculture, and defense.
  • AI Trustworthiness and Human-Centric AI: Ensuring AI/ML models are interpretable, explainable, and aligned with human decision-making.

The center will drive innovation and economic growth by facilitating industry collaborations, research internships, and workforce development initiatives. It will contribute to national security by safeguarding critical infrastructure systems and promoting trustworthy development practices. Additionally, the center’s activities align with the rapidly growing AI/ML market, projected to exceed $407 billion by 2027, while addressing cybersecurity threats that pose significant risks to enterprises and government operations. Through this planning meeting, UW and CSU will work with industry stakeholders to refine research priorities, establish collaborative frameworks, and define pathways for long-term funding. This initiative underscores UW’s commitment to technological innovation, economic resilience, and societal well-being, ensuring that AI/ML advancements contribute to a safer, more trustworthy future.


Meeting Logistics