Faculty profile
Jeff Boisvert
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Research
Latest funding
- $100,000
Artificial intelligence systems for enhancing real-time drone capabilities in fire/wildfire emergency response and spatial modeling
NSERC · 2025 · Principal investigator
- $100,000
Development of a cloud-based data-driven modelling, optimization, and decision-making system for subsurface energy development (GeoCloud)
NSERC · 2023 · Co-investigator
- $100,000
Validating and using spatial models of uncertainty in underground mine decision making
NSERC · 2023 · Principal investigator
Artificial intelligence systems for enhancing real-time drone capabilities in fire/wildfire emergency response and spatial modeling
Principal investigators: Boisvert, Jeff
Keywords: Modelling and mathematical simulation of natural processes; Environment
Development of a cloud-based data-driven modelling, optimization, and decision-making system for subsurface energy development (GeoCloud)
Principal investigators: Zhang, Bo B
Keywords: cloud-based system; coupled thmc simulation; data-driven decision making; deep learning techniques; geological co2 storage; geological modelling; in-situ recovery of oil sands; optimizations; reservoir management; subsurface energy development
Validating and using spatial models of uncertainty in underground mine decision making
Principal investigators: Boisvert, Jeff
Keywords: geostatistics; numerical modeling; uncertainty assessment; stope design; optimization; ore sorting; decision making; risk assessment; data integration; validation
Collaborative Machine Learning: using information from multiple mineral deposits to improve decision making
Principal investigators: Boisvert, Jeff J
Keywords: artificial intelligence; federated learning; geometallurgical modeling; geostatistics; machine learning; mine planning; numerical modeling; optimization; sensitivity analysis; transfer learning
Quantification of the value of data for calculating uncertainty and managing risk
Principal investigators: Boisvert, Jeff J
Keywords: cost of drilling; geostatistics; numerical modeling; optimization; sampling; sensitivity analysis; uncertainty assessment
Assessment of uncertainty in 2D and 3D geostatistical models for use in steam assisted gravity drainage prediction
Principal investigators: Boisvert, Jeff J
Keywords: geostatistics; numerical modeling; sensitivity analysis; steam assisted gravity drainage; uncertainty assessment
Wildland fire management using near real time high resolution remote sensing data
Principal investigators: Boisvert, Jeff J
Keywords: emergency management; exposure assessment; fire behavior prediction; fuel characterization; geostatistics; remote sensing; risk assessment; unmanned aerial vehicles (uav); wildfire; wildland fires
Energi simulation industrial research consortium in reservoir geomechanics
Principal investigators: Chalaturnyk, Richard RJ
Keywords: field-scale rg behavior; pore to core-scale; reservoir geomechanical modeling; reservoir geomechanics (rg); reservoir management & optimization; reservoir-scale geomechanics
Selection of optimal open pit mining limits with multiple geostatistical models to quantify uncertainty in pit value
Principal investigators: Boisvert, Jeff
Improved domaining for geostatistical modeling
Principal investigators: Boisvert, Jeff
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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