Greg d'Eon

University of Waterloo

I am currently a Master’s student at the University of Waterloo. I study crowdsourcing systems and how to make them more effective. In particular, I am interested in making crowdsourcing tasks where multiple workers collaborate in real time. I am currently researching ways to pay workers fairly for working on a team. My research might be best described as computer supported cooperative work, understanding how humans work together and using computer systems to take advantage of this cooperative work.

I work with CrowdCurio for my crowdsourcing studies, and my research is closely related to other graduate students’ work on CrowdCurio (including Will Callaghan, Mike Schaekermann, and Alex Williams).

Dalhousie University

While I was studying Computer Engineering at Dalhousie, I had a chance to work on a wide range of projects. Here are a few of them:


At NewAE Technology, I helped develop the ChipWhisperer toolchain. My work included:
  • Creating embedded software, including C and Verilog firmware for the ChipWhisperer and a variety of encryption routines for various target devices
  • Developing two large Python programs to control the ChipWhisperer hardware and analyze recorded data
  • Designing a remote analysis system, including high-performance statistical analysis methods and a client/server web API
  • Writing tutorials and training material on the theoretical background and features in the ChipWhisperer
  • Maintaining the public Github repository, managing releases, issue reports, and pull requests

While working at NewAE, I co-authored a paper with Colin O’Flynn discussing the implications of side-channel analysis on automotive system design (to appear in the SAE International Journal of Transportation Cybersecurity and Privacy in March 2018).

Jeff Dahn Research Group

I spent two 4 month terms with the Jeff Dahn Research Group - one funded by an NSERC DREAMS scholarship, and one for my first co-op term at Dalhousie. In the lab, I built a frequency response analyzer (FRA) which combined impedance measurement equipment with ordinary battery cyclers, testing cells automatically throughout the cycling process. The equipment gave researchers a method to test a variety of battery chemistries quickly and easily.

Data from my FRA system was published in the Journal of the Electrochemical Society.