Ayleen Farnood
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ayleen Farnood is a leading researcher in intelligent transportation systems, with a primary focus on cooperative adaptive cruise control (CACC) and the critical challenge of communication time delays in vehicular networks. Her most-cited work, "A Deep Time Delay Filter for Cooperative Adaptive Cruise Control" (2023), introduces an innovative deep learning-based approach that outperforms traditional control methods by dynamically compensating for latency without sacrificing control performance. This contribution addresses a fundamental bottleneck in CACC deployment—how to maintain string stability and safety when vehicles experience unpredictable communication lags. With 3 citations in its first year, this paper is rapidly gaining traction as a foundational reference for researchers working at the intersection of deep reinforcement learning and connected vehicle control. Dr. Farnood’s research bridges theoretical control engineering with practical, data-driven solutions, offering a pathway toward more robust and scalable autonomous platooning systems. Her work is particularly notable for its potential to reduce traffic congestion and improve road safety in real-world CACC implementations, marking her as an emerging authority in the field of smart transportation and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1A Deep Time Delay Filter for Cooperative Adaptive Cruise Control3 citations · 2023