Partners to the Centre for Machine Learning Studies
Our partners help to support the research efforts at the Centre for Machine Learning Studies. They help us to deliver valuable research experience to our students, many of our research initiatives are anticipated to have a significant positive effect on the community. Please read on to find out how our partners help us to create great opportunities.
NSERC provides counselling and funding to research projects. Representatives from NSERC actively meet with our Entrepreneurs-In-Residence and visit the ACE Project Space once a week to provide answers and present on variety of topics related to NSERC research fundings opportunities.
Mitacs supports research-based innovation and is a national, not-for-profit organization. They provide funding towards research and towards students engaged in research. Mitacs-funded research has been shown to improve economic performance and create employment opportunities.
Wawanesa acts as a partner to the ACE Project Space by providing us with quality, community driven projects.
Ultrahaptics, based out of the United Kingdom, developed a different kind of haptic technology, using an array of emitters that developers can use to project a sensation of of touch in mid-air. As part of their academic program, our students have benefitted from exploring and developing applications to use their ultrahaptic hardware in interesting ways.
Chitkara University, located outside of Chandigarh, India, and the Applied Computer Education department at RRC have maintained a mutually beneficial relationship for some time. Recently, in autumn 2017, our department chair, Haider Al-Saidi, presented a two week seminar on Machine Learning and attended the International Conference on Computing, Analytics & Networks while visiting. We anticipate continued relations with Chitkara for years to come.
Health Sciences Centre (HSC), located in Winnipeg, Manitoba, are supporting research at the Centre for Machine Learning Studies, where our researchers and research assistants are exploring ways to use machine learning to analyze data collected from Electroencephalographic (EEG) data.
If you would like to partner with us, please contact 204-949-8495 or email firstname.lastname@example.org for more information.