PDAC-SEG
Student Minerals Colloquium
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.
This event provides industry professionals with an opportunity to support and stay current with ongoing international research from students across the world. The 17th annual colloquium will take place at the PDAC 2026 Convention in Toronto, Canada from March 1-4, 2026
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. All students will be at their posters for judging on Tuesday March 3, from 10:00 am – 12 noon.
Convention attendees are encouraged to visit the exhibits to meet the student researchers and attend the SMC Poster Awards & Reception on Tuesday March 3 in the Northern Lights Learning Hub from 3:30 – 5:00 pm.
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. All students will be at their posters for judging on Tuesday March 3, from 10:00 am – 12 noon.
Convention attendees are encouraged to visit the exhibits to meet the student researchers and attend the SMC Poster Awards & Reception on Tuesday March 3 in the Northern Lights Learning Hub from 3:30 – 5:00 pm.
The list of abstracts will be posted shortly.
Access requirement:
 | All Access Pass Including Student, Senior, and One Day Passes |
 | VIP All Access Pass |
 | Exhibitor Staff Pass |
 | Exhibits Day Pass |
For more information, contact:
SMC Organizing Committee
[email protected]
Showing 1-9 of 10 results
Linear Gravity Inversion for 3D Subsurface Density Modeling Using Series-Expansion Discretization
Department of Geophysics, University of Miskolc
Stratigraphic Correlation of the Timiskaming Assemblage using Gamma Ray Spectroscopy in Lebel Township, ON
Department of Earth and Environmental Sciences, University of Waterloo
Mineral Prospectivity Mapping of Intrusion-Related Gold Deposits in Southwestern New Brunswick Using a Deep Learning-Based Framework
Department of Earth Sciences, University of New Brunswick
Integrated Geophysical Investigation of the Machile-Zambezi Graben: Deep Crustal Imaging using Audio-Magnetotellurics (AMT)
Department of Geology, University of Zambia
Effects of acquisition height and noise level on DL-based super resolution of aeromagnetic data
Department of Earth Sciences, Uppsala University
Artificial Intelligence-Driven Integration of Aeromagnetic and Radiometric Data for Mineral Prospectivity Assessment in the Abakaliki Region, Southeastern Nigeria
Department of Geophysics, University of Miskolc, Miskolc, Hungary
Integrating remote sensing data and field samples with deep learning for geological mapping in northeastern Québec
Water Earth Environment Center, National Institute of Scientific Research
Pre-Collisional Extension and Potential Kimberlite Formation on the Ontong Java Plateau
Earth Sciences, University of Toronto
Spatially Aware Machine Learning for Automated Lithological Mapping Using UAV-borne Radiometric and Magnetic data
Department of Geological Sciences & Geological Enigneering, Queen's University