Duong Nguyen

Defence Science and Technology Group, University of Adelaide

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About

Duong Nguyen’s research lies at the intersection of multi-agent systems, robotics, and adaptive sensing, with a focus on decentralized coordination for data collection in dynamic environments. His work addresses the fundamental challenge of enabling teams of robots to efficiently harvest data from sensor networks while guaranteeing a target quality of service (QoS) in non-stationary settings. In his highly cited 2022 paper, *Multi-Agent Data Collection in Non-Stationary Environments*, Nguyen developed coordination strategies that allow multi-robot systems to adapt in real time to changes in sensor mobility and environmental conditions. Building on this, his 2024 work, *Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments*, introduced scalable, decentralized algorithms that maintain performance without centralized control—a critical advancement for real-world deployments. Though early in his career, Nguyen’s contributions are already recognized for their practical impact on active perception and environmental monitoring. His work bridges theoretical control and real-world robotics, offering a blueprint for resilient, autonomous data collection in applications from disaster response to precision agriculture.