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.

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.

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.

Understanding Indigenous Graduate Students and Their Motivations to Pursue a Career in Research

The research project that will be conducted by the intern will enable the creation of a questionnaire that will later be deployed to the indigenous researcher (and graduate student) community. Most of the activities will involve gathering and analysis information from databases (i.e., Aboriginal People’s Survey) and interviews (and focus groups) to ensure that we are asking the right questions. The aim is to better understand the enablers and constraints facing indigenous researchers in Canada, in order to help design interventions that could boost the former and mitigate the latter.

Nano-Structured Adsorbents for Water Remediation systems: Removal and Biodegradation of Contaminants

According to world health organization (WHO) 80% of the diseases are water borne! Providing clean and affordable water then is one of the modern-times hurdles. Finding new remedies could mean saving thousands of lives. Therefore, my research expertise lies in the area of creating new strategies to remove hazardous contaminants saying heavy oil, hydrocarbons, heavy metal and pharmaceutical discharges from water. Through my research, I apply facile eco-friendly strategies for preparing advanced nano-based materials.

Real-time food analysis using deep learning for Diabetes Self -Monitoring

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a users meal to return an accurate carb count and offer portion size adjustments to reduce their blood sugar fluctuations.

Optimizing Virtual Care Solutions Capabilities to Address Cognitive Impairment

Optimizing an integrated virtual care technology solution to expand capabilities to manage patients with cognitive impairment. These enhancements will improve remote monitoring and management of patients with Alzheimer’s and Dementia. The project will result in the development of additional tools and proprietary applications to enable comprehensive assessments in the areas of stroke and other neurological conditions.