Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Media expert
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.
Faculty of Health, Medicine and Behavioural Sciences
Availability:
Available for supervision
Cristian Riveros-Matthey is a dedicated and highly motivated researcher with a strong academic background in biomechanics and motor control, holding a PhD from the School of Human Movement and Nutrition Sciences (HMNS) at The University of Queensland.
He has demonstrated expertise in applying advanced technologies for human movement analysis, including markerless 3D motion capture systems, force sensors, surface and high-density electromyography (hdEMG), and ultrasound imaging. He is also proficient in data analysis and signal processing using MATLAB and Python.
Cristian’s research focuses on musculoskeletal simulation and optimisation to investigate the principles underlying action selection and the cost functions that drive human movement in constrained locomotor tasks, such as cycling, level walking, and uphill walking.
