Chijung Jung

University of Virginia

Papers

2

Total Citations

25

H-Index

2

About

Chijung Jung is a leading researcher in the emerging field of swarm robotics, with a sharp focus on the safety, reliability, and security of decentralized multi-robot systems. Their work addresses a critical gap: while swarm algorithms excel at tasks like environmental monitoring, disaster recovery, and logistics, they are notoriously difficult to debug and vulnerable to hidden logic flaws. Jung’s major contributions include developing systematic tools to identify and exploit these vulnerabilities. Their seminal paper, *Swarmbug: debugging configuration bugs in swarm robotics* (2021, 17 citations), pioneered a method to automatically detect misconfigurations that cause emergent failures. Building on this, *SWARMFLAWFINDER: Discovering and Exploiting Logic Flaws of Swarm Algorithms* (2022, 8 citations) introduced a framework to uncover algorithmic weaknesses that could be maliciously triggered, highlighting serious security risks in military and civilian applications. By bridging software engineering and robotics, Jung has laid the groundwork for safer, more robust swarm deployments. Their work is essential reading for any student or researcher aiming to build trustworthy autonomous swarms, proving that even the most complex collective behaviors can—and must—be systematically verified.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Swarmbug: debugging configuration bugs in swarm robotics
17 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Virginia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago