Shahram Tafazoli

Shahram Tafazoli

3 articles
Weir Motion Metrics

Biography

Dr. Shahram Tafazoli is an avid inventor, entrepreneur, and angel investor in the technology space. He received all his degrees in Electrical and Computer Engineering. Shahram holds a PhD degree from University of British Columbia (UBC) and Master and Bachelor’s degrees from Sharif University of Technology in Iran. After graduating in 1997 from UBC, he started a one-man technology consulting company. This consulting company evolved to Motion Metrics International Corp which was acquired by the Weir Group on Dec 1, 2021. WEIR Motion Metrics today has more than 120 full-time employees worldwide with its main operations in Canada as the Center of Excellence in AI and Rugged Machine Vision Technologies for the WEIR Group. In addition to being the Chief of AI for WEIR Motion Metrics, Shahram holds an adjunct professorship position with UBC and has offered courses in robotics, control systems, and digital signal processing. He is also an associate member of the Creative Destruction and chairs several boards of directors. Shahram has co-authored many patents with Motion Metrics engineers and scientists.

Publications by Year
Showing 3 of 3
Smart Mining: Leveraging Deep Learning and 3D Imaging for Lip Shroud Monitoring and Boulder Detection for Shovels
Shahram Tafazoli Weir Motion Metrics
Camilo Sanchez Weir Motion Metrics
Transitions: The Digital Platform Technical Session
AI Driven Decisions
CIM 2022 Convention Vancouver
Employing 3D Rugged Imaging and AI to Implement Mine-To-Mill Optimization and to Reduce the Energy Footprint of Comminution
Shahram Tafazoli Weir Motion Metrics
Bahram Sameti Weir Motion Metrics
Mine Operations Technical Session
Mine Maintenance and the Future
CIM 2023 Convention Montreal
Leveraging 3D Rugged Imaging and Distributed AI to Analyze Haul Truck Loads on Their Way to Primary Crushers
Shahram Tafazoli Weir Motion Metrics
Bahram Sameti Weir Motion Metrics
Mining in the 21st Century Technical Session
Sensing, Machine Learning & Artificial Intelligence in Mining I
CIM 2023 Convention Montreal