L. Chen, Ph.D.
Dr. L. Chen Avatar

Dr. L. Chen

Visiting Researcher | Systems Engineering & Computer Science

Welcome to my academic portfolio. My current research focuses on the intersection of Complex Adaptive Systems (CAS) and autonomous entity coordination. I am particularly interested in modeling cascading failures in network topologies and designing resilient algorithms for Low-altitude Unmanned Aerial Vehicle (UAV) Swarm Navigation in GNSS-denied environments.

GitHub

Latest News

  • March 2026

    Our paper on "Threshold Dynamics in Cascading Failures" was accepted for oral presentation at IEEE ICCS 2026.

  • January 2026

    Started my tenure as a Visiting Researcher focusing on scalable simulation frameworks for autonomous systems.

  • November 2025

    Honored to be invited to serve on the Technical Program Committee (TPC) for the 2026 International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

  • September 2025

    Successfully secured a research grant to further investigate "Resilient Topologies in UAV Swarm Networks" under GNSS-denied conditions.

  • July 2025

    Delivered a keynote speech on "Navigating the GNSS-Denied Future: A CAS Approach" at the Annual Symposium on Complex Systems.

Research Focus

Complex Adaptive Systems (CAS)

Investigating the macroscopic emergent behaviors arising from microscopic non-linear interactions within critical infrastructures. My work employs agent-based modeling (ABM) and network theory to predict tipping points and mitigate cascading failures in interconnected power grids and communication networks.

Low-altitude Navigation & UAV Swarms

Developing decentralized, Byzantine-fault-tolerant consensus algorithms for UAV swarms operating in complex, obstacle-dense low-altitude environments. A primary focus is on autonomous spatial-temporal synchronization when global navigation satellite systems (GNSS) are jammed or unavailable.

Selected Publications

Resilience of UAV Swarms in GNSS-Denied Environments: A Complex Adaptive Systems Perspective

L. Chen, J. Smith, A. Kumar

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2025.

This paper presents a novel decentralized topology control mechanism for UAV swarms. By modeling the swarm as a Complex Adaptive System, we demonstrate that dynamically adjusting communication radii based on local density metrics significantly increases the swarm's resilience to sudden node dropouts in urban canyons where GNSS signals are severely degraded.

Threshold Dynamics in Cascading Failures of Interconnected Systems

L. Chen, Y. Wang

Journal of Complex Networks, Vol 12(4), 2024.

Get in Touch

Contact Information

I am always open to discussing research collaborations, especially regarding multi-agent simulations and complex system modeling.

  • Email:
    l.chen.research [at] example.edu
  • Affiliation:
    Visiting Scholar Program
    Institute for Complex Systems Simulation
  • PGP Fingerprint:
    4F92 B3C4 D5E6 F7A8 9012 3456 7890 ABCD EF12 3456