One-Step Cell Isolation and Expansion on Multi-Functional Microcarriers
Professor Corinne Hoesli (Chemical Engineering), Omar Bashth, Master’s student (Chem.Eng.), and Mohamed Elkhodiry, PhD candidate (Chem.Eng.)
Emerging cell-based therapies for cancer, diabetes and other diseases have been hailed as the next revolution in medicine. The high cost-of-goods of these therapies is prohibitive for publicly funded health care systems such as Canada. We propose to develop a technology for cell separation and expansion in bioreactors that could reduce costs by reducing the number of steps required during bioprocessing.
Recycling Phosphorus by Upgrading Municipal Biosolids
Professor Sidney Omelon (Mining and Materials Engineering)
We are approaching peak phosphorus (P). Similar to oil, P-fertilizer is extracted from a non-renewable resource called “phosphate rock” (PR) that is concentrated in few geographical locations. Due to PR value and future outlook, Europe recently placed PR on its critical materials list. Germany and Switzerland have mandated future P-recovery from municipal wastewater treatment plants. Canada has no operating PR mines, and no P-recovery strategy. The only P-fertilizer production facility in Canada will soon close. We are addressing this challenge of an impending PR, and therefore P-fertilizer availability problem, by simply and inexpensively upgrading municipal biosolids to increase their P-fertilizer value.
Efficient Convolutional-Neural-Network (CNN) Processing System
Professor Zeljko Zilic (Electrical and Computer Engineering-ECE) and Pavel Sinha, PhD candidate (ECE)
To further develop an efficient computing platform technology in silicon that provides industry best in class performance in throughput, low-power and achievable depth of the deep-learning network in real-time. We have re-defined the computation platform by introducing a highly scalable architecture to accommodate any order deep-learning architecture as desired by the developer.
Physiological Confirmation of Stimulus Reception
Professor Jeremy Cooperstock (ECE) and Pascal Fortin, PhD student (ECE)
Today’s electronic handheld devices are incredibly sophisticated, but they all lack the ability to assess if a signal presented to a user was effectively perceived. Using an off-the-shelf wearable skin conductance sensor, this new concept can accurately detect if a stimulus was perceived by a receiver. It operates by measuring the galvanic skin response, characterized by modifications in the skin’s resistance due to activation of the sweat glands. This invention has the potential to drastically modify current mobile communication technologies.