Rate My Professor Ping Chang

Dr. Ping Chang is a Senior Lecturer in Mining Engineering at the Western Australian School of Mines (WASM): Minerals, Energy and Chemical Engineering, Curtin University. He earned his PhD in Mining Engineering from Curtin University and joined the faculty as an Associate Lecturer in 2019, advancing to Senior Lecturer. As Lead of the Mine Ventilation, Health and Safety Laboratory, Dr. Chang's research focuses on mine ventilation, diesel particulate matter control, coal dust control, mine safety, and computational fluid dynamics (CFD) simulations in mining engineering. He specializes in developing and optimizing technologies for mining-induced particle control, including characterization and mitigation of coal dust, diesel particulate matter, open-pit haul road dust, and mine tailing dust. Additional interests include mine electrification, mine health and safety, and carbon capture in mining industries. His work addresses critical challenges in enhancing mine safety and minimizing environmental impacts through innovative engineering solutions.

Dr. Chang is a member of the Australasian Institute of Mining and Metallurgy (AusIMM) and has authored numerous peer-reviewed publications in leading journals. Key works include 'Effects of Liquid CO2 Phase Transition Fracturing on Methane Desorption in Coal' (2024), 'Targeted Stimulation Effects of CS2 Extraction on Methane Desorption in Coal' (2025), 'Optimisation strategy for multi-branch joint on-demand regulation of complex mine ventilation networks based on ε-CSO algorithm and sensitivity theory' (2026), 'A Fractal-Modified Dubinin-Astakhov Equation for Micropores Adsorption in Porous Media: Principle, Methodology and Implication' (2026), 'A new simulated annealing algorithm for simultaneous open-pit and waste dump scheduling in mining complexes' (2025), 'Laboratory Measurement and Analysis of Permeability of Sandstone Reservoir Microstructure Based on Fractal Geometry Theory for Porous Media' (2025), and 'Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition' (2025). He was nominated for the 2022 Early-Career Research Award at Curtin University and has secured over AUD 0.6 million in research funding as principal investigator and co-investigator.