Minerals Webinar | How AI is Rewriting the Rules of Critical Mineral Processing
the chair
2nd Minerals Webinar
How AI is Rewriting the Rules of Critical Mineral Processing
Welcome, and thank you for joining us for today’s webinar on “How AI is Rewriting the Rules of Critical Mineral Processing.” We are delighted to bring together leading experts to discuss how artificial intelligence is transforming the mining and mineral processing industry.
As demand for critical minerals continues to grow, the need for smarter, more efficient, and more sustainable processing solutions has never been greater. This webinar brings together leading experts who are advancing AI applications across the entire value chain:
- From AI-driven smart and safe mining systems, integrating systems engineering with intelligent automation,
- To AI-accelerated discovery of new flotation chemistry, where quantum mechanics and machine learning are redefining reagent design before laboratory testing,
- And to digital transformation within mineral processing plants, where digital twins enable real-time prediction, optimization, and intelligent process control.
Following their presentations, we will open the floor for an interactive Q&A session to encourage discussion and exchange of ideas.
Date: July 7th, 2026
Time: 3:00 pm CEST | 9:00 am EDT| 9:00 pm CST Asia
Zoom ID: 857 4763 1748
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Dr. Rajive Ganguli
Department of Mining Engineering, University of Utah, Salt Lake City, USA;
Dr. Rajive Ganguli is the Malcolm McKinnon Endowed Professor of Mining Engineering at the University of Utah. He is professionally interested in the big challenges related to mining, with his primary expertise being in the application of artificial intelligence and workforce development. He was previously with the University of Alaska Fairbanks, Jim Walter Resources and Hindustan Copper Limited. He has executed industry and government funded projects in USA, Mongolia, Saudi Arabia, Mexico and Greenland.
Dr. Amir Eskanlou
Earth and Planetary Sciences, Stanford University, USA;
Amir is a research scientist at Stanford University Mineral-X. He holds a Ph.D. in Energy and Mineral Engineering, with a minor in Computational Materials, from Penn State. Amir has over 15 years of research and industry experience in mineral processing and extractive metallurgy. His research combines AI, computational materials science, and mineral processing to develop more selective, energy-efficient, and sustainable approaches for critical minerals recovery. He has led projects in process optimization under uncertainty and AI-driven reagent discovery for phosphate and rare earth processing, supported by pilot-scale validation.
Dr. Osvaldo Bascur
OSB Digital, LLC, USA;
Member of the Texas Academy of Medicine, Engineering, Science and Technology, USA, 2026. www.tamest.org
Member of the National Academy of Engineering, USA, 2025, for applying Phenomelogical and Artificial Intelligence modeling techniques in mineral and industrial plant performance optimization.
Received the maximum distinction by the SME Antoine Gaudin Award, 2014. For its Mathematical Modeling of Mineral Processing and Plant Information Systems in the Industry.
Mining, Mineral Processing, Extractive Metallurgy, Process Control and Operational Intelligence, Predictive Analytics, Big Data Enterprise Analytics.
10 years at Pennzoil, 25 years at OSIsoft, 6 years at OSB Digital LLC.
Bascur’s deep knowledge in the process industry will add instant credibility to an organization. His broad experience and proven track record in leading various industrial software initiatives are key assets for this position, as OSIsoft (Now Aveva) continues to serve as one of the leading software providers in the industry.
Sponsors and Partners
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