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• Dr Nguyen is a Lecturer in Robotics at the School of Mechanical and Mining Engineering, The University of Queensland. His research focuses on advancing autonomous robot capabilities in complex, large-scale environments through 1) principled and scalable fusion of complementary sensing modalities with distilled prior knowledge from learning processes for localisation & mapping, and 2) cooperative strategies for multi-robot systems. These research directions address challenging scenarios such as inspection, exploration, and manipulation, where robust localisation & mapping form a solid foundation upon which collaborative schemes can unlock new levels of efficiency and scalability.
• Dr Nguyen was previously a Research Assistant Professor at the Centre for Advanced Robotics Technology Innovation (CARTIN), Nanyang Technological University (NTU), following the Wallenberg–NTU Presidential Postdoctoral Fellowship, where he led collaborative research efforts between NTU and KTH Royal Institute of Technology. He received his PhD from the School of EEE, NTU, with the best thesis (Doctoral Innovation Award) in 2020. He graduated with a Bachelor of Engineering (Honours) from Vietnam National University – Ho Chi Minh City University of Technology in 2014. He is an active member of IEEE Robotics and Automation Society (RAS), and is currently an Associate Editor of IEEE Robotics and Automation Letters (RA-L) in the area of Localisation & Mapping.

Dr Weiming Zhao is an ARC DECRA Fellow (2026 - 2029) in the School of Civil Engineering at the University of Queensland. His research sits at the intersection of robotics, human behaviour, and infrastructure, focusing on Intelligent Transportation Systems (ITS) and the interactions between Connected and Automated Vehicles (CAVs) and human drivers in mixed traffic. Using control theory and machine learning, including Model Predictive Control and Mathematica-based modelling, he develops trajectory planning solutions for CAVs at intersections and highway merging areas, aiming to improve safety, efficiency, and energy use in both urban and highway settings.

Dr Zhao completed his PhD at the University of Leeds, followed by a postdoctoral position at Aalto University. He joined UQ as a postdoc in 2022, before commencing his DECRA fellowship in 2026. His current DECRA project, Make Automated Vehicles Personalised and Socialised, investigates how control methods for automated vehicles can align with human driver behaviour to build trust.