Rate My Professor Hoa Nguyen

Nguyen's research specializes in autonomous unmanned aerial vehicles (UAVs) for search, localization, and tracking of multiple radio-tagged wildlife and mobile objects in complex terrains. His academic interests include online UAV path planning for joint detection and tracking of radio-tagged objects, multi-objective multi-agent planning for discovering and tracking mobile objects, distributed multi-object tracking under limited field of view sensors, and lightweight trajectory planning with situational awareness for embedded autonomy in resource-limited aerial robots. He has expertise in machine learning, clustering, animal tracking, data clustering, statistical learning, signal processing, image and video processing, and tracking algorithms. Nguyen develops smarter algorithms for UAV navigation to efficiently search and localize mobile objects. Key publications include "Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-tagged Objects" (2019), "Distributed Multi-object Tracking under Limited Field of View Sensors" (2021), "Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects" (2020), "LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags" (2020), "TrackerBots: Autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals" (2019), "ConservationBots: Autonomous aerial robot for fast robust wildlife tracking in complex terrains" (2023), and "Robust Multi-Sensor Generalized Labeled Multi-Bernoulli Filter" (2021). His scholarship demonstrates impact through contributions to UAV-based wildlife monitoring and multi-sensor tracking technologies. At Curtin University, he teaches units such as ETEN2000 Signals and Systems and supervises research students.