Lab Projects

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)

Use a smart meter for a house, building, microgrid, etc., to infer and track the performance of appliances and loads; thus, helping to create a smart energy efficient environment.

Data Engineering & Data Collection

Collect data and publish publicly available datasets that are used to test machine learning systems that attempt to solve sustainability problems.

Community Power

Investigating how communities can become self-reliant by generating and sharing power using new information and communication technologies (ICT).

Personal Carbon Tracking

Create a ubiquitous computing platform that communities can use to track their carbon output and collectively reduce their carbon footprint.

Lab Members

Stephen Makonin

Stephen Makonin

Faculty Member

Ivan V. Bajic

Ivan V. Bajic

Faculty Member

Chinthaka Dinesh

Chinthaka Dinesh

MASc Candidate

Megha Gaur

Megha Gaur

Visiting PhD Scholar (IIIT Delhi)

Chris Hynes

Chris Hynes

PhD Candidate

Alex Clapp

Alex Clapp

Associate Member (SFU)

Select Publications

  1. Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic. Incorporating Time-Of-Day Usage Patterns Into Non-Intrusive Load Monitoring. To appear in the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.
  2. Stephen Makonin, Bradley Ellert, Ivan V. Bajic, Fred Popowich. Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014. Scientific Data, vol. 3, no. 160037 , pp. 1-12 (2016).
  3. Md. Zulfiquar Ali Bhotto, Stephen Makonin, Ivan V. Bajic. Load disaggregation based on aided linear integer programming. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 7, pp. 792-796 (2016).
  4. Stephen Makonin, Fred Popowich, Ivan V. Bajic, Bob Gill, Lyn Bartram. Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring. IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2575-2585 (2015).
  5. Stephen Makonin, Fred Popowich. Nonintrusive Load Monitoring (NILM) Performance Evaluation. Energy Efficiency, vol. 8, no. 4, pp. 809–814 (2015).
  6. Stephen Makonin, Lyn Bartram, Fred Popowich. A Smarter Smart Home: Case Studies of Ambient Intelligence. IEEE Pervasive Computing, vol. 12, no. 1, pp. 58–66 (2013).

Funding Sponsors & Partners

NSERC
IC-IMPACTS