First UMN-Led NSF Convergence Accelerator to Develop Water Quality Sensor Platform Enabled by AI

ME Professor Tianhong Cui is part of a team of scientists and engineers selected as NSF Convergence Accelerator Phase 1 awardees for chemical water sensing. The team is the first from the University of Minnesota to lead a Convergence Accelerator project, a program that provides funding from NSF to solve societal challenges through convergence research and innovation to accelerate projects toward tangible solutions that make a difference. 

The University of Minnesota team is developing Aquasense, a low-cost, compact, easy-to-use, rapid water quality sensor platform enabled by artificial intelligence (AI). 

Learn more about the team and its proposal on the CSE news page.