The Student Minerals Colloquium (SMC) brings together geoscience students and industry professionals to highlight innovative student research on projects essential for the successful evolution of the modern mining industry. 

Meet the students at their posters on Tuesday March 4, from 10:00 am - 12 noon. A panel of industry professionals will judge the posters and three winners from each of the BSc, MSc, PhD categories will receive $500, $400 and $300 respectively. 
 
Join us at the SMC Awards & Reception on Tuesday, March 4, 2025 from 3:30 p.m. to 5 p.m. at the Northern Lights Learning Hub in the Trade Show North for networking and to celebrate the winners in each category. 
Showing 1-9 of 14 results
HYSIMUv2.0: A Hyperspectral Remote Sensing Toolkit for Mineral Mapping
Department of Geological Sciences and Geological Engineering, Queen's University
Impact of Geologically Confirmed Negative Training Labels on Prospectivity Modelling of Canadian Magmatic Ni (±Cu ±Co ±PGE) Sulphide Mineral Systems
Department of Earth Sciences, University of Toronto
From Waste to Energy Storage: A Novel Strategy for Recycling and Regenerating Graphite as an Anode Active Material in Lithium-ion Battery Applications
Department of Mining and Materials Engineering, McGill University
Mineral Exploration and Geochemical Data Analysis of Zinc Mineralization using AIMinex: A new Open-Source AI-Driven GUI
Department of Geological Sciences and Geological Engineering, Queens University
Assessing the Potential of Carbon Capture and Storage in Smelter Slag Tailings from the Zambian Copperbelt
Graduate School of Environment and Sustainability, University of Exeter
Enhancing Robustness in 1D Fourier Transformation: An Inversion-Based Approach Using Gegenbauer Polynomials
Department of Geophysics, University of Miskolc
3D Modelling of Critical Mineral Resources in Tailings at the Abandoned Lake George Antimony Mine, New Brunswick
Department of Earth Sciences, University of New Brunswick
Enhancing Mineral Prospectivity Mapping for Gold mineralization in Northern New Brunswick using Machine Learning Approach
Department of Earth Sciences, University of New Brunswick
Geochemical Characterization and origin of Iron oxide deposits in Dehbid region, Iran
Department of Geological Sciences and Geological Engineering, Queens University