Building Data-Driven Permanent Real-Time Full Wellbore Flow Monitoring Using Hybrid Distributed Fibre-Optic Simultaneous Vibration and Temperature Sensing Technology

In this project, we develop a framework to use the data from fiber sensing technologies to smart monitoring of Oil and Gas Reservoirs. The project involves extensive lab experiments simulating different monitoring conditions. Different configurations for installation of sensing equipment will be examined. The optimum location of tubing will be also determined. Signal processing methods will be used to extract useful information from the raw fiber-sensed data. Through experiments, we will record and analyze the relationship of fiber-sensed signals and the flow conditions.

Airway-On-A-Chip: Development and In Vitro Validation of A Microfluidic Cell Culture Model for Chronic Obstructive Pulmonary Disease (COPD)

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, and one that affects 2.6 million Canadians and 380 million people worldwide. Although the disease affects a large population worldwide the therapies used for treatment remain imprecise. With the lack of disease modifying therapies there is a pressing need to discover novel targets to promote new therapeutic discoveries and ultimately improve the care and health outcomes of patients with COPD.

Toward Urban Resilience using Renewable and Distributed Energy Resources

Sustained operation of sanitary pumping stations in Richmond BC is critical to the health and safety of its residents. The overarching goal of this research project is to investigate strategies to improve urban resilience by operating the sanitary pumping station loads in coordination with distributed energy resources (DERs), including renewable generation and energy storage. Particularly, this project aims to develop a decision-making tool to optimize infrastructure investment in DERs while promoting resilience of sanitary pumping stations.

Machine learning based analysis of Industry driven use cases from Health and wellness domain

Software have been used, always, to deliver various needs to people. In this aspect, Roseto Health Innovations have developed a software that can deliver fact-driven wellness information to their customers. In its effort to elicit mutual benefit for research in Software engineering and company, Roseto Health Innovations has partnered with Prof. Behrouz Far and Prof. Ray J Turner to better understand a software development process that includes user requirements related to health and wellness, while adhering to the IEC 62304 standards.

Investigations and Analysis of Industrial Internet of Things Ecosystems

Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking.  Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot.  This project will focus on the investigations and analysis of industrial Internet of Things ecosystems including, exploring the impacts of IOT security and threat assessment using port and naval systems; determining the optima

Adaptive Algorithm for End Point Estimation in Steel Making Refining and its Industrial Application

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from the raw data stream acquired by the industrial sensors.

Developing Intelligent BI Applications using Machine Learning

SAP is a multinational software corporation that makes enterprise software to manage business operations and customer relations. SAP Labs Montreal focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for example purchases made by each and every customer of the retail industry.

Investigating polysomnography parameters and screening for obstructive sleep apnea using breathing sound analysis during wakefulness

Obstructive sleep apnea (OSA) is still an underdiagnosed common disorder. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold standard Polysomnography (PSG) is expensive and time-consuming. This proposal presents three research projects/points to apply advanced signal processing and machine learning techniques on breathing sounds’ signals for screening OSA disorder during wakefulness.

Optimized Non-invasive Cuff-less Continuous Blood Pressure Measurement Technique Using Machine Learning

Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that obstructs the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing cuff-less BP monitoring technologies such as pulse transit time (PTT) and tonometry are not sufficiently accurate.

Design and development of a grating-based flow-cytometer

Title: Design and development of a grating-based flow-cytometer
“Flow cytometry is a technique used to detect and measure physical and chemical characteristics of a population of cells or particles. A sample containing cells or particles is suspended in a fluid and injected into the flow cytometer instrument. The sample is focused to ideally flow one cell at a time through a laser beam and the light scattered is characteristic to the cells and their components. Cells are often labeled with fluorescent markers so that light is first absorbed and then emitted in a band of wavelengths.