Machine Learning research group hosts global experts: delving into traffic modelling and mineral processing innovations

The Machine Learning research group at the Department of Chemical Engineering welcomed two exceptional researchers on 18 May 2023. Dr Theresa Smith of Bath University (UK) and Prof Chris Aldrich of Curtin University (Australia) both presented their work, while academic staff and students of the department and beyond attended the hybrid event.   

During her presentation on Modelling Traffic Flows, Dr Smith discussed her current work on air pollution modelling, and the attempt to map vehicle positions in city street networks using data sources such as cameras, in-situ sensors and global data from Google Maps. While discussing Advances in Machine Learning in the Mineral Process Industries, Prof Aldrich – formerly an academic staff member and currently an extraordinary professor at the department – discussed recent advances in machine learning and mineral processing. He specifically looked at three case studies: isolation forests in process monitoring, vision transformers in froth image analysis, and Shapley additive explanations methods in developing diagnostic models.   

“It is always a pleasure to host Prof Aldrich, with whom we have a long-standing relationship, to help identify the most pertinent advances in the field,” said Prof Tobi Louw of the Machine Learning group. “While our collaboration with Dr Smith is more recent, it has been tremendously fruitful, and we look forward to continue our work together in the future.” 

Read more about the Machine Learning research group here.  

Dr Theresa Smith

Prof Chris Aldrich