Whales from Space: Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery

Ship strikes and fishing gear entanglement in particular have put right whales at risk of extinction with approximately 400 of this species remaining. Monitoring the remaining whale requires reliable detection of whales over large spatial scales. Traditionally, whale population size and distribution are estimated using trained experts on survey boats and planes. This project will develop an automated methods to visually detect endangered North Atlantic right whales from aerial and satellite imagery.

Shipping Container Code Classification and Prediction

BlueNode is a SaaS company focused on the sanitation and analysis of marine shipping data. The research project is focused on increasing the precision and accuracy of shipped goods processed through Canadian ports. Should the research prove to be successful, the technical methods used will be directly incorporated into the BlueNode system.

Development of Energy-Efficient Means for Intensifying Mass Transfer Rates in Multiphase Reactors

The proposed project mainly focuses on developing an innovative gas/liquid contacting technology that is of critical importance to a wide range of process industries and environmental-management operations. Successful
development and implementation of this project are expected to:

? Reduce the environmental impact of a variety of operations that are needed to meet human needs and welfare (e.g. water/wastewater treatment, aquaculture, environmental management),

Development of a salmon diet using alternative protein and lipids suitable for land-based recirculation farming systems

Aquaculture feed has historically relied on fish-based protein sources to satisfy nutritional requirements for optimal growth. While plant-based proteins are increasing throughout the aquaculture industry, the need for fish protein is still present to ensure the “natural fish” taste that consumers want. Black Soldier Fly Larvae (BSFL) have been proposed as a solution to this problem as they contain the same compounds responsible for the desired taste. This project looks to determine the effectiveness of protein from BSFL and a proprietary lab-grown marine agent within Atlantic salmon feed.

Development of Deep Learning Models for Amylose Estimation in Cereal Grains with Near-Infrared Spectroscopy

NIRS is a popular secondary analytical method that is being used for non-destructive quantification of compounds and mixtures in the agriculture and agri-food sector. The study aims to estimate the starch content (amylose and amylopectin) in rice samples with NIRS. A dataset is being established by obtaining NIRS spectra (400 to 2500 nm, 0.5 nm resolution) on over 400 milled and ground rice samples. Iodine-binding and spectrophotometric techniques will be used for acquiring the ground-truth.

Understanding customer behavior in usage of secure and reliable IoT devices: Industrial, commercial, and residential approaches

The main objective of this research project is to determine the factors that can be used to understand customer behavior associated with using secure and reliable IoT devices. This will allow for non-intrusive products to be designed with more reliability and less security risks. This will require an in-depth study into user behavior, user experience, IoT network security, reliable protocols, and product design.

Monitoring and Analysis of COVID-19 Acute Respiratory Distress Syndrome on Ventilators

Front-line clinicians have reported that different respiratory stiffness results in different COVID-19 patient conditions on ventilators. In this project, we test and improve NovaResp’s monitoring hardware and analyze the collected data for development of algorithms with focus on respiratory stiffness of patients with COVID-19. The resulting algorithms and monitoring device could lead to determine whether patients need to be intubated, and when under ventilation, what ventilatory settings need to be applied for better patient outcome.

R&D agenda in Data Science for emergency response

A person with COVID-19 can spread the disease to others. Therefore, it is crucially important to identify and isolate infected persons immediately to stop disease spreading. Contact tracing is one of the critical tools available to effectively break the chain of transmission and control outbreaks.
Contact tracing is the process of identifying, assessing, and managing people who have been exposed to disease to prevent onward transmission. This process allows for the rapid identification of people who become symptomatic.

Validation of blood-brain barrier imaging as a biomarker for neuropsychiatric symptoms

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may help explain why patients diagnosed with the same disease often have very different severities of outcome.

Novel technology for multiplexed chemical assays of blood at the point of care

Developing technology capable of onsite medical diagnostics is crucial for health-care delivery in clinical and emergency settings. To perform on-site diagnostics, health-care practitioners need compact, inexpensive, and user-friendly equipment. Alentic Microscience has developed a system that uses small volumes of blood for cell counting and serum tests, occurring at the site of blood extraction. This system makes single molecular layers of reagents on the sensor surface, which when exposed to light allow the system to provide valuable diagnostics about the sample.