- About
- Schools
- Study
- Research
- News & Events
- Contact
Computational Sustainability Lab
Computational sustainability tries to balance the needs of the environment, the economy, and society to solve sustainability problems using computational methods such as algorithms. Our lab is particularly interested in solving climate change and the energy crisis through the theme of conservation and habitual change. To this end, we work with both academic and industry partners to develop and commercialize our discoveries and solutions.
If we do not provide way to mitigate climate change and to decrease our ever-growing energy demands, we will leave a legacy of neglect that will negatively impact our children and future generations to inhabit this great planet, Earth.
“I have lived in the province of British Columbia (Canada) all my life. I grew up in Glade outside Castlegar. When I was young, I was surrounded by mountains, forests, creeks, and rivers. I explored them during the hot summer days and even during the cold of winter. My growing up with nature has shaped my passion and motivated my research into computational sustainability.”
- Dr. Stephen Makonin, Lab Principal Investigator
Areas of Research
Our goal is to work with our SFU departments and external partners to help understand what computation tools are available and how computation can be used to solve difficult suitability problems. We apply and invent new machine learning and statistical signal processing algorithms to the many different aspects of computational sustainability. Here are some of our current projects.
- Non-Intrusive Load Monitoring (NILM)
- Data Engineering & Data Collection
- Community Power & Smart Grid
- Personal Carbon Tracking