Deepa Kundur
Papers
9
Total Citations
94
H-Index
6
About
Deepa Kundur is a prominent researcher whose work bridges cyber-physical systems, autonomous vehicle networks, and intelligent transportation systems. Her most significant contributions center on developing robust fault detection, localization, and mitigation frameworks for connected autonomous vehicle (CAV) platoons — networks of vehicles that communicate cooperatively to navigate safely and efficiently. Kundur pioneered the application of transmissibility-based identification methods to these systems, enabling output-only monitoring that requires no knowledge of external inputs or underlying system dynamics, a particularly powerful approach for real-world deployment. Her foundational textbook work on *Fundamentals of Cyber-Physical Systems* further reflects her commitment to advancing the field's theoretical underpinnings. More recently, Kundur has expanded her research into machine learning-driven diagnostics, employing deep learning architectures and multi-head attention mechanisms to classify faults in mixed autonomous and human-driven platoons — addressing the messy realities of transitional transportation networks. Her exploration of communication time delays and cooperative adaptive cruise control underscores a persistent focus on practical resilience. With citations reaching into the dozens across multiple publications since 2020, her work is rapidly gaining traction. From early bio-inspired robotics to cutting-edge CAV security, Kundur's trajectory reflects a career defined by interdisciplinary innovation at the intersection of control theory, communications, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Fundamentals of Cyber-Physical Systems12 citations · 2020
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- 7A Deep Time Delay Filter for Cooperative Adaptive Cruise Control3 citations · 2023
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