Lily Yang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Lily Yang is a rising researcher in the field of cyber-physical systems (CPS), with a focused expertise in resilience, fault tolerance, and state estimation for hierarchical, resource-constrained environments. Her most impactful work, "A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems" (2022), addresses a critical challenge: ensuring system reliability in the face of sensor anomalies. Dr. Yang introduces a novel framework that combines checkpointing with roll-forward recovery for nonlinear, hierarchical CPS, enabling systems to maintain accurate state estimates even when sensor data is compromised. This contribution is foundational for safety-critical applications like autonomous vehicles and smart grids, where sensor failures can have catastrophic consequences. With 4 citations to date, her work is gaining traction as a key reference for researchers tackling CPS dependability. Dr. Yang’s research stands out for its practical approach to balancing computational constraints with robust recovery mechanisms, positioning her as an emerging authority in resilient CPS design. Her work promises to shape how next-generation systems handle uncertainty and failure.
Research Focus
Key Achievements
Top Papers
- 1