keynote speakers

Tassos Grammatikopoulos

The keynote lecture "Process mineralogy for critical metals in mineral processing and extractive metallurgy" will be given by Tassos Grammatikopoulos, of SGS Natural Resources, Canada.

Tassos is a process mineralogy expert specializing in mineral processing for critical, base, and precious metals, as well as other commodities. His work centers on integrating fundamental and specialized mineral data to advance mineral processing and extractive metallurgy, driving the development of new and improved mineral technologies.

He earned his PhD in Economic Geology from Queen's University in 1999. Tassos began his career at Lakefield Research (SGS) in 1997 as a mineralogist and senior geoscientist, later serving as a research associate at AMTEL. He has also held academic positions as an Adjunct Professor at McGill University and as a Lecturer and Assistant Professor at the University of Patras, Greece.

Lucas Pereira

The keynote lecture "Advancing process understanding through particle-based separation modelling" will be given by Lucas Pereira, of the Helmholtz Institute Freiberg for Resource Technology, Germany.

Lucas is a geological engineer and researcher working at the interface of mineral processing, geometallurgy, and data analytics. With a PhD in particle-based separation modelling, his work combines machine learning and mineral characterization to develop digital tools for the mining industry.

As Group Leader at Helmholtz Institute Freiberg (HIF), Lucas develops particle-based separation models that transform high-resolution mineralogical data into practical solutions for industry. He also works with Erzlabor to apply statistical learning to ore characterization and optimize processing workflows. He is passionate about turning complex data into actionable insights and bridging the gap between research and real-world impact.

His research interests lie at the intersection of digitalization, data analytics, and process modelling in the minerals sector. He is passionate about exploring the potential of machine learning and data-driven approaches to improve our understanding of complex systems and drive technological advancements.

MEI Conferences

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