MAIN STAGE
Monday May 5 | 8:30 AM
Opening Keynote & Plenary Session | Room 710
Innovation and Artificial Intelligence
The Opening Plenary features a keynote address on the transformative role of innovation and artificial intelligence in the minerals industry, showcasing how these advancements are shaping decarbonization efforts and accelerating the energy transition. Following the keynote, a dynamic panel of industry leaders and experts will discuss the challenges and opportunities in leveraging technology to build a resilient and sustainable minerals sector.
PANELIST
Jeff More | President and CEO
Tuesday May 6 | 8:30 AM
Opening Keynote & Plenary Session | Room 710
Energy Transition and the Evolving Energy Sector
On Day 2 of CIM CONNECT 2025, explore transformative forces shaping the future of energy. The session opens with a keynote on the vital role of renewable energy, battery storage, and transportation electrification in revolutionizing the sector.
OPENING REMARKS AND INTRODUCTION
Rodrigo Andai | Chief Commercial Officer
INNOVATION EXCHANGE SERIES
Wednesday May 7 | 14:00
Data-Driven Innovation: Transforming Sustainable Mining Through Sensing | Room 516A
Transforming Sustainable Mining Through Sensing
PANELIST
Frank Hoogendoorn | Chief Officer Data
The mining industry faces a dual challenge: profitably maximizing production while embracing sustainable practices. This panel unpacks how digital technologies and new data streams are providing the solutions. Panelists will discuss the strategic importance of collecting and managing diverse data as a foundational step toward harnessing the power of emerging AI and Machine Learning advancements to evolve mining operations, including real-time ore tracking and grade control. Discover how these advancements are refining geostatistical models, streamlining operations, and improving metal recovery while also aligning with the broader goals of sustainability and energy transition within the industry.
PANEL ORGANIZER & MODERATOR
Hannah Lang | Manager of Digital Solutions
TECHNICAL PROGRAM
Monday, May 5
11:25 – 11:50AM
513C
Optimal calibration and validation workflow for shovel mounted XRF-based sensor for ore sorting at the mine face
Scott Kadler, P. Eng.
Senior Mining Data Analyst
Monday, May 5
11:50AM – 12:15 PM
513C
Simulation Tool to Assess Potential Long-Term Value of In-Pit X-Ray Fluorescence Sensors for Bulk Ore Sorting
Philippe Drouin, P.Eng, M.Sc, CFA
Senior Mining Data Analyst
Monday, May 5
3:55 PM - 4:20 PM
511E
Leveraging Computer Vision in an Integrated Multi-Sensor System for Enhanced Truck Dispatch in Mining Operations
Peyman Sindareh, Ph.D
Senior Data Scientist
Tuesday, May 6
10:30 -10:55 AM
511E
Automatic Grade Prediction Model Selection Using Lithology Classification for XRF-Based Bulk Ore Sorting
Karim Halaseh, BSc
Data Scientist
Wednesday, May 7
4:20 PM
513E
Data-driven optimization through blending improvements using sensor-based ore characterization in mine and mill operations
Giovanni Pamparana, PhD(c). MSc
Senior Engineering Data Analyst
MINESENSE TECHNOLOGIES
Make informed decisions at the face with real-time data where you need it the most
Make informed decisions at the face with real-time data where you need it the most
Wednesday May 7 | 14:00
Data-Driven Innovation: Transforming Sustainable Mining Through Sensing | Room 516A
Transforming Sustainable Mining Through Sensing
MINESENSE ADDS VALUE TO YOUR OREBODY
Our technology is a complete hardware and software system, enabled by proprietary algorithms,
to measure and report ore grade and ore characteristics in real-time
AT THE FACE
ORE FROM WASTE, WASTE FROM ORE
STOCKPILES
SMART ROUTING DECISIONS
NEW OREBODY KNOWLEDGE
MINE TO MILL RECONCILIATION
HOW SHOVELSENSE WORKS
Creating new ore body knowledge at the face
ShovelSense uses a set of robust high-speed x-ray fluorescence (XRF) sensors installed on mobile mining machinery.
ShovelSense scans the mineral content of the bucket to assess the grade of the material within the shovels dig cycle. The location is then digitally provided directly to the FMS software to direct the haul truck, with no operator intervention required.
ShovelSense reads dynamically as the bucket is filling. Our rapid data software processes the primary data using machine learning algorithms developed for that ore body. This information is combined – in complete real-time - to provide grade and material classification. The primary data is a robust spectrum that provides a wealth of information on the ore being measured. This includes all base metals of interest as well as deleterious elements.
Valuable data collected by ShovelSense can also be used to map orebodies at much higher resolution. A first-of-its-kind capability that provides a dramatic new level of visibility to mine operations.
SHOVELSENSE - Smart Shovel
MineSense partnered with Teck Resources for the first full-scale trial of the bucket-mounted ShovelSense technology at the Highland Valley Copper mine in British Columbia with commercialization commencing in 2019.
Following this successful deployment, ShovelSense has been deployed in a growing list of global mining operations, including some of the world's largest copper mines in Latin America.
Video by Teck Resources,
Why are we sending critical metals to the dump?
Our CEO Jeff More recently took the TED stage to share how MineSense is helping the mining industry meet the world’s growing demand for copper by simply wasting less of what is already being mined. Through data and AI-powered solutions, we are able to make mining more efficient and more sustainable, and help drive the clean energy transition.