Energy-Quality Scalable Systems
Approximate computing is a promising approach to the energy-efficient computing of error-resilient applications where the quality of computation results can be traded for energy efficiency, such as machine learning and signal processing.
Mobile and Embedded Security
Security- and privacy-sensitive applications and services on mobile and embedded computing platforms need low-power, low-cost security measures.
Industrial and Agricultural Internet-of-Things
Real-time monitoring and control in industrial and agricultural environments to facilitate optimal operation is challenging, but the benefit of improved productivity and environmental sustainability is tremendous.
Power-Aware System Design
Embedded systems are often designed under strict size and cost constraints, which requires judicious power- and energy-aware system design.
Research Sponsors
National Science Foundation
USDA National Institute of Food and Agriculture
Intel Corporation
SK hynix
Institute for Information Communications Technology Planning and Evaluation
Grainger Institute for Engineering
Office of the Vice Chancellor for Research and Graduate Education