Rate My Professor Hoa Nguyen

Dr. Hoa Nguyen serves as a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences within the Faculty of Science and Engineering at Curtin University. He obtained his PhD from the School of Computer Science at the University of Adelaide in June 2020. Prior to this, he earned a Master’s degree in Electrical Engineering from Portland State University, graduating Summa Cum Laude in June 2012. Before entering academia full-time, Nguyen held engineering positions at Intel Products Vietnam from July 2012 to December 2014 and from January 2015 to April 2016, followed by a role as Analyst at Intel ATMx in Ho Chi Minh City from April to August 2016.

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.