Rate My Professor Ross McAree

Professor McAree has attracted over $12 million in Category 1-3 funding and $8.5 million in Category 4 funding, contributing to successful bids for CRCMining and CRCMining2 totaling $35.2 million. His significant external service includes Chairing the Australian Academy of Science National Committee on Mechanical Sciences (2001-2006), serving as the Australian representative to the International Federation for the Theory of Machines and Mechanisms (2001-present), acting as Associate Editor for the journal Mechatronics (1999-2011), and membership in Australian Standards Committees ME-27 and IT-06P. He is a Fellow of the Australian Academy of Technology and Engineering (ATSE) and received the UQ Partners in Research Excellence Award in 2018. His research group has developed several automation technologies commercialized in the mining sector, estimated to benefit the global mining industry by over $1 billion. Key publications include “Minimal configuration point cloud odometry and mapping” (2024, The International Journal of Robotics Research), “Real-time 6-DOF pose estimation of known geometries in point cloud data” (2023, Sensors), and “Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?” (2022, Sensors).