I accomplished a great deal during my undergraduate degree at Queen’s, however it does not compare to how much I learned, accomplished, and enjoyed my time spent completing my Masters of Engineering (M.Eng). I believe that my studies allowed me an excellent opportunity to explore a range of topics far greater than could have been accomplished through a Masters of Applied Science (MASc). This included opportunities to take classes in diverse and unrelated fields, including Machine Learning, High-Performance Computing, Software Re-Engineering, Software Design Recovery, Bioinformatics and Computer & Network security. Though taking M.Eng courses greatly contributed to my own knowledge, my MASc allowed me the ability to focus my efforts on the research of PROCAM systems and contribute my own ideas to the academic community. This work led to the pursuit PhD research is in PROCAM Systems under Dr. Michael Greenspan in the RCVLab, where it was our goal to enable a new generation of interactive projector technology.

I am currently pursuing a PhD under Jean-François Lalonde at Laval University, where we are researching the modeling of sky luminecense through deep learning.

Ian Maquignaz in Quebec City

Ian Maquignaz

Ian Maquignaz at Petra

Ian Maquignaz

Ian Maquignaz in the Red Sea

Ian Maquignaz

YGK Modular Ventilator

 Posted on April 1, 2021  |  

Code for Life Ventilator Challenge Montreal General Hospital Foundation March – April 2020

  • Participated in a 2-week sprint to design and create a life-saving ventilator, ranking in the top 9 of over 1,000 teams and 2,600 participants.
  • Hosted by Montreal General Hospital Foundation, in collaboration with the Research Institute of the McGill University Health Centre (RI-MUHC), the project was a innovation challenge for a simple, low-cost, easy-to-manufacture and easy-to-maintain ventilator which could be deployed anywhere needed to save lives.
  • Worked with a team of professors, academics, professionals and fellow students, leading design of an intuitive UI interface for system controls and patient safety. Over a period of 8 days, a 7,000 line project was designed, created and tested, consisting of 4,000 lines of python revolving around a tkinter UI. Final submission consisted of 10,000 line project, consisting of 7,500+ LOC python and 900+ LOC Arduino.

Source

COVID 

OpenCV: Calibration Documentation

 Posted on December 1, 2020  |  

PR#19089, #19230 – December 2020

OpenCV