Source: http://makonin.com/
Timestamp: 2019-04-22 10:22:50+00:00

Document:
I am an Adjunct Professor in Engineering Science at Simon Fraser University (SFU) and philanthropist. I received my PhD in Computing Science at Simon Fraser University in 2014, and I have been a software engineer for over 22 years working for various local and international clients. I am currently the Vice-Chair of the IEEE Signal Processing Society Vancouver Chapter as well as a Senior Member of the IEEE. My research interests include computational sustainability and the understanding of socioeconomic issues that pertain to technological advancement. I am an expert in data engineering and a world-renowned researcher in non-intrusive load monitoring (NILM) and disaggregation. Philanthropic work includes student scholarships (for aboriginal students in engineering) and mentoring.
Are you a BCHydro customer? Donate your data for research.
New HUE dataset journal paper now published.
NILM paper to be presented at ICASSP.
CarbonKit paper to be presented at SocialSens.
SFU Computational Sustainability Lab website now live.
Alon Harell, Stephen Makonin, Ivan V. Bajic.
WaveNILM: A Causal Neural Network for Power Disaggregation from the Complex Power Signal.
Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
Laura Guzman, Stephen Makonin, Roger Alex Clapp.
CarbonKit: Designing A Personal Carbon Tracking Platform.
Proceedings of SocialSense ’19: Fourth International Workshop on Social Sensing, pp. 24-29, 2019.
Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic.
Residential Power Forecasting Using Load Identification and Graph Spectral Clustering.
A Recurrent Neural Network for Multisensory Non-Intrusive Load Monitoring on a Raspberry Pi.
Proceedings of the IEEE 20th International Workshop on Multimedia Signal Processing (MMSP), 2018.
Incorporating Time-Of-Day Usage Patterns Into Non-Intrusive Load Monitoring.
Proceedings of the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.
Understanding Appliance Power Consumption Without Sensors.
In Poster Session at the 3rd Annual IC-IMPACTS Research Conference, 2017.
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).
Investigating the Switch Continuity Principle Assumed in Non-Intrusive Load Monitoring (NILM).
Proceedings of the 29th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016.
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 (2016).
Bradley Ellert, Stephen Makonin, Fred Popowich.
Appliance Water Disaggregation via Non-Intrusive Load Monitoring (NILM).
Proceedings of the EAI International Conference on Big Data and Analytics for Smart Cities (BigDASC), 2015.
Nonintrusive Load Monitoring (NILM) Performance Evaluation.
Energy Efficiency, vol. 8, no. 4, pp. 809–814 (2015).
Real-Time Embedded Low-Frequency Load Disaggregation.
PhD thesis, Simon Fraser University, School of Computing Science, 2014.
Stephen Makonin, Ivan V. Bajic, Fred Popowich.
Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring (NILM).
Proceedings of the 2nd International Workshop on Non-Intrusive Load Monitoring, 2014.
Stephen Makonin, Laura Guzman Flores, Robyn Gill, Roger Alex Clapp, Lyn Bartram, Bob Gill.
A Consumer Bill of Rights for Energy Conservation.
Proceedings of the IEEE Canada International Humanitarian Technology Conference (IHTC), 2014.
Nonintrusive Load Monitoring (NILM): What an algorithm can tell you about your energy consumption.
In Poster Session at SFU Postdoctoral Research Day, 2016.
In Poster Session at IEEE Vancouver Section Annual General Meeting, 2014.
Stephen Makonin, William Sung, Ryan Dela Cruz, Brett Yarrow, Bob Gill, Fred Popowich, Ivan V. Bajic.
Inspiring Energy Conservation Through Open Source Metering Hardware and Embedded Real-Time Load Disaggregation.
Proceedings of the 5th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2013.
Stephen Makonin, Fred Popowich, Bob Gill.
The Cognitive Power Meter: Looking Beyond the Smart Meter.
Proceedings of the 26th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013.
Approaches to Non-Intrusive Load Monitoring (NILM) in the Home.
PhD depth report, Simon Fraser University, School of Computing Science, 2012.
HUE: The Hourly Usage of Energy Dataset for Buildings in British Columbia.
Data in Brief, vol. 23, no. 103744, pp. 1-4 (2019).
Stephen Makonin, Z. Jane Wang, Chris Tumpach.
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis.
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).
Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich.
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction.
Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS), pp. 1427-1436, 2016.
Stephen Makonin, Fred Popowich, Lyn Bartram, Bob Gill, Ivan V. Bajic.
AMPds: A Public Dataset for Load Disaggregation and Eco-Feedback Research.
Proceedings of the 2013 IEEE Electrical Power and Energy Conference (EPEC), 2013.
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).
Stephen Makonin, Fred Popowich, TaeJin Moon, Bob Gill.
Inspiring Energy Conservation Through Open Source Power Monitoring and In-Home Display.
Proceedings of the IEEE Power and Energy Society General Meeting, 2013.
Home Occupancy Agent: Occupancy and Sleep Detection.
GSTF Journal on Computing, vol. 2, no. 1, pp. 182–186 (2012).
Stephen Makonin, Maryam H. Kashani, Lyn Bartram.
The Affect of Lifestyle Factors on Eco-Visualization Design.
Proceedings of Computer Graphics International (CGI), 2012.
Stephen Makonin, Philippe Pasquier, Lyn Bartram.
Elements of Consumption: An abstract visualization of household consumption.
Proceedings of the 11th International Symposium on Smart Graphics, LNSC 6815:194–198, 2011.
An intelligent agent for determining home occupancy using power monitors and light sensors.
Proceedings of the 9th International Conference on Smart Homes and Health Telematics (ICOST), LNSC 6719:236–240, 2011.
Chapter 18: App programming and its use in smart buildings, pp. 451-463.
Book: Start-Up Creation: The Smart Eco-E cient Built Environment.
Editors: Fernando Pacheco-Torgal, Erik Rasmussen, Claes-Goran Granqvist, Volodymyr Ivanov, Arturas Kaklauskas, Stephen Makonin.
Woodhead Publishing, ISBN: 978-0-08-100546-0 (hardcover), 978-0-08-100549-1 (ebook), 2016.
Joanna Wallace, Kyle Richardson, Bob Gill, Stephen Makonin.
Cognitive Radio Technology: System Evolution.
Proceedings of the 4th International Conference On Wireless Networks and Embedded Systems (WECON), 2015.
Reza Filsoof, Alison Bodine, Bob Gill, Stephen Makonin, Robert Nicholson.
Transmitting Patient Vitals Over a Reliable ZigBee Mesh Network.
David Bennett, Stephen Makonin, Vincent W. Mayfield, Ted Neustaedter, Mark R. Wrenn.
Visual C++ 5.0 Developer's Guide.
Sams Publishing, ISBN: 978-0-672-31031-7, 1996.
Simon Fraser University, School of Computing Science: Fall/2014, Spring/2015.

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