First UMN-Led NSF Convergence Accelerator to Develop Water Quality Sensor Platform Enabled by AI
The primary research team includes University of Minnesota College of Science and Engineering faculty Cara Santelli (earth and environmental sciences), Tianhong Cui (mechanical engineering), Yao-Yi Chiang (computer science and engineering), Chang Ge (computer science and engineering), and John Sartori (electrical and computer engineering).
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).