| Accelerated materials discovery using artificial intelligence, robotics and high performance computing |
2019-2024 |
- Accelerate the development of new materials for clean energy technology on self-driving laboratories using AI, robotics and high performance computing
- Apply ML algorithms for decision making to recommend conditions for future experiments and random search
|
Mark Kozdras |
|
| Open digital platform for forest value chain optimization Footnote * |
2019-2023 |
- identify new opportunities for increased competitiveness
- locate the best clean growth investments
- support equity and diversity in science
- develop and improve the workforce
|
Mouloud Amazouz
Daniel Mazerolle
Eric Soucy
|
- Energy Technology
- Canadian Forest Service (CFS)
|
| Intelligent decision support for industrial systems performance optimization |
2016-2020 |
- extract knowledge and identify patterns from industrial performance data
- enhance operations across several industries
|
Mouloud Amazouz |
|
| Groundwater information network |
2009-Ongoing |
- distributed groundwater data network
- uses AI to improve access to and integrate groundwater data from multiple sources
|
Boyan Brodaric |
|
| Petroinformatics: a digital platform for optimizing oil refining |
2019-Ongoing |
- create more efficient and cost-effective processes for oil refining operations
- create digital platform to support decision-making for assessing oil refineries
|
Rafal Gieleciak |
- Strategic Petroleum Policy and Investment Office (CanmetENERGY Devon)
|
| Mapping Canada's water and infrastructure |
2017-Ongoing |
- accelerate the ability to create geospatial data layers for use in emergency management, flood mapping and change detection
- enhance Canada’s foundational mapping layers
|
Karen Bronsard |
- Canada Centre for Mapping and Earth Observation (CCMEO)
|
| ENERGY STAR brand integrity |
April 2018 (8 weeks experiment) |
- identify misuses of the ENERGY STAR brand on websites and social media
- help to strengthen processes and refine policy to support consumers in decision making
|
Matt Naccarato
Erin Sullivan |
- Low Carbon Energy (Office of Energy Efficiency – OEE)
|
| Lalor geochemical drillhole classification |
2014-2018 |
- provide support with the classification of geochemical data
- predict 3-dimensional distribution of underground geological units
|
Ernst Schetselaar
Patrick Mercier-Langevin |
|
| Tree-Ring Database Footnote * |
N/A |
- improve understanding of critical variations in tree growth
- improve reliability of the Canadian Forest Service’s Tree-Ring Database
|
Martin Girardin |
|
| Robotic process automation for financial document management Footnote * |
2020 |
- automate linear tasks to reduce manual intervention
- minimize error to increase accuracy and efficiency
|
Marc Cossette |
- |
| Optimizing electric grids and charging infrastructure for mass electric vehicles penetration Footnote * |
2020 |
- apply big data analytics and AI techniques to better understand and characterize EV infrastructure requirements
- help electricity companies better manage electrical grids
|
Evgueniy Entchev |
|
| Synthetic remote community energy load using machine learning techniques Footnote * |
Sept. 2020 – March 2021 |
- better understand the load profiles of Canada's remote communities to enable the off-diesel transition
- develop machine learning application to output synthetic electrical load profiles
|
Ryan Kilpatrick |
Energy Technology |
| Detecting deep mineral deposits with deep learning for resource extraction |
2020-2022 |
- develop machine learning/deep learning algorithms to help determine the probability of presence of valuable mineral deposits and rock type
- can scale and replicate outcomes across Canada
|
Gilles Bellefleur |
Lands and Minerals |
