The National Science Foundation (NSF) has granted one of the most prestigious early-career honors to the director of CIAO lab, Dr. Ningshi Yao. The NSF CAREER Award, funded by the Energy, Power, Control, and Learning (EPCL) Program, recognizes Yao’s pioneering work. The five-year $628K grant will support her research on ensuring the safety, reliability, and efficiency of interconnected real-time control systems.
From intelligent transportation networks to smart manufacturing, modern infrastructure increasingly relies on shared resources, physical space, power grids, cloud computing, and communication networks. Simultaneous demands, however, often lead to correlated resource contention, causing unpredictable delays that can result in catastrophic system failures.
Yao’s research introduces a transformative theoretical framework “Schedu-stability.” This new mathematical paradigm provides a joint guarantee of both scheduling feasibility and control system stability. By creating decentralized optimization tools, her lab enables large-scale systems to intelligently manage resources in real-time. Notably, the framework generates high-quality data to enhance imitation learning and reinforcement learning models, bridging the gap between her rigorous control theory and advanced machine learning.
For more info, visit https://www.nsf.gov/awardsearch/show-award?AWD_ID=2539218
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