Artificial Intelligence for Mining with MATLAB


The digitization of mining is evolving at a faster pace than ever before. From geology to processing and operations, the influx of data combined with advancement in software technologies allows companies to be on the cutting edge of innovation. Come see how MathWorks - labelled a Visionary in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms- is enabling mining companies to embrace this innovation. 


  • See live demonstrations of Artificial Intelligence/Deep Learning applications for mining in MATLAB
  • Learn best practices for digital twin and predictive maintenance models
  • Hear how MATLAB is used across mining in various customer use cases

Who Should Attend

Anyone working or leading teams in:

  • Data Science
  • Processing Plants
  • Geology
  • Metallurgy

About the Presenter

David Wilingham, Senior Data Analytics Application Engineer - MathWorks

David Willingham has over 20 years’ experience using MATLAB. His academic background in computer science & signal processing has allowed him to specialize in data analytics for the past 12 years covering a broad spectrum of topics and industries. David joined MathWorks in 2006 after working for Infineon Technologies Singapore, developing analytics algorithms for DSPs. David graduated with honours in B. ECSE (Electrical & Computers Systems Engineering) from Monash University in 2003.

Sam Oliver, Principal Consultant - MathWorks

Sam Oliver is a consultant engineer who specializes in helping organizations improve their operations and logistics through statistical analysis, along with predictive modeling and simulation. Prior to joining MathWorks, Sam worked for a leading supplier of brake system technology on application development for an electromechanical brake program. He also worked as a university research assistant and conducted research on the verification and integration phases of software development within the automotive industry. He received an M.Eng.Sc. in mechatronics, a B.Eng. in mechanical and manufacturing, and a B.Sc. in computer science from the University of Melbourne, Australia.


Time Title

Registration and breakfast

Breakfast will be provided. For dietary requirements, please contact

09:00am Welcome and Keynote: Getting Ahead in the Age of Artificial Intelligence
09:30am Perform Root Cause Analysis & Build Remaining Useful Life Models
10:00am Break
10:30am Practical Deep Learning applications in Mining using Imaging, Video & Sensor Data
11:15am Reinforcement Learning: Teach a Mining Plant to Self Learn
12:00pm Event end

Product Focus

Registration closed