Federal Grant Award Summary

The National Science Foundation (NSF) awarded the University of California, Irvine a $412,579 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) on January 15, 2026, with completion targeted for August 31, 2027. This CAREER award, titled "Vision Systems for an Evolving World," supports research and development of robust computer vision algorithms and models that enable visual recognition systems to adapt and generalize across changing environmental conditions—analogous to how human vision adjusts to dimly lit spaces or adverse weather. The project delivers three core technical products: (1) multi-domain generalization models and learning approaches that facilitate future domain adaptation; (2) transformative visual domain adaptation algorithms capable of rapid adaptation to new target domains using limited observations and reduced computational demands; and (3) algorithms enabling vision systems to expand their operational capacity across multiple domains over time.

Beyond its core research deliverables, the project integrates education and outreach components targeting K-12 students, consistent with NSF CAREER program requirements that combine research innovation with workforce development. The integrated approach addresses a critical gap in current computer vision systems by optimizing simultaneously for both generalization across multiple visual domains and rapid adaptation to new conditions, rather than optimizing for these criteria independently. This work advances the foundation for next-generation visual recognition systems applicable to autonomous vehicles, surveillance, robotics, and other vision-dependent applications requiring resilience to environmental variability.