Intelligent Query and Learning System (IQLS)

Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, and the system becomes ready to answer related questions to their followers or audience who are interested in the service or product. Providing answers to the questions of the clients can help to increase sales and grow the business.

An image-guided, highly tunable hydrogel delivery device for novel minimally invasive therapies

Minimally invasive treatments have greatly changed the clinical landscape for a variety of disorders. A catheter is navigated through the body to the target site where a multitude of interventions can be performed, including drug delivery and therapeutic embolization and in the near future delivery of tissue-engineered constructs. However, there are still limitations for treatment safety and efficacy due to the less direct control physicians have over the diseased site compared to traditional surgeries.

Machine Learning for Auto-Scaling Corda Node Containers

We are looking to drive the operational cost down for Corda R3 nodes. Corda R3 is a smart-contract Distributed Ledger technology. Our strategy is to do so by minimizing the cloud computing resources. Using machine learning and historic data we can proactively orchestrate a large number of nodes on behalf of our clients. The interaction between nodes is a type of social network lending itself to machine learning.

Remediation and recovery of metals from mine effluents using genetically engineered microbial systems

Mines generate metal-contaminated wastewater that needs to be cleaned before it can be re-used by the mine or discharged into the environment. There are several ways to remove this metal, but many of these technologies are expensive and require non-renewable materials to work. Biological methods to remove these metals are promising renewable alternatives, but they have their limitations too: a lack of specificity for metals and the need to destroy the biomass to recover the metal for profit.

Improving glycerol utilization in E.coli for heme biosynthesis

Heme is a naturally occurring molecule found in our blood and as well as in animals, responsible for carrying oxygen throughout our body. Interestingly, heme has been commercially used in various products such as in cosmetics, nutraceuticals, and food. The traditional production of heme however often involves animal slaughter and harsh chemical processing, which is costly and ultimately limits other potential applications. The proposed project will investigate a different method of producing heme by fermenting microorganisms; much in the same way that beer, wine, and insulin are made.

Saccade Concussion Diagnosis System

The underlying technology will leverage artificial intelligence (AI) to analyze oculomotor (eye movement) data to learn and extract human translatable features/symptoms of concussion. The software is computationally light-weight that is capable of running on portable hardware with minimal computational power. The intern will examine the system's commercialization by conducting interviews with potential customers and identifying the additional critical features needed by end-users.

Silicone-mounted fiber-Bragg grating sensor for cardiac pulse-waveform monitoring

Cardiovascular disease (CVD) is a major cause of morbidity and mortality internationally. Current CVD diagnostics are limited to basic tools that provide a generalized number without quantitative indication of overall health, such as blood pressure, or lifestyle risk scores. More invasive diagnostic imaging can be done, but at great cost to the healthcare system. We have developed a basic optical device capable of non-invasively studying the cardiac pulse-waveform, thus potentially allowing for direct measures of cardiovascular risk and health.

Intraocular Pressure Monitoring Microfluidic Contact Lens

The proposed research project is to design a microfluidic contact lens that will be used to track the fluctuations in intraocular pressure. Intraocular pressure is the primary factor to monitor the progression of glaucoma, which is a chronic disease that leads to permanent vision loss and currently has no cure, making early and frequent testing essential. By utilizing microfluidic channels embedded into a soft contact lens, the changes in corneal curvature can be captured and the intraocular pressure can be determined, as it is directly proportional.

Accelerated Maturation of Rye Spirits

Whisky is made by a process of fermentation, distillation, and maturation. The last step is by far the most time-consuming part of this process. In order for maturation to occur, the distilled spirit must sit in a wooden barrel for years, during which the spirit takes on the familiar colour and taste of whisky. This inefficient process is an antiquated approach to creating this beloved class of beverage.

Novel Adhesive For Use In Sternal Fixation and Application

Median sternotomy is the standard approach in heart surgery. Over 1.5M operations are performed worldwide annually; 45K in Canada. Wires are used post-operatively to close the sterna, leading to instability, micro-motion and pain. Alternative techniques lack effectiveness or are cost prohibitive. Glass polyalkenoate cements (GPCs) are used in restorative dentistry, orthodontics and ear, nose and throat surgeries.