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.

Efficient Design and Implementation of Concatenated Error-Correction Coding for High-Throughput Fiber-Optic Links

The project targets design and implementation of error-correction codes for high-throughput fiber-optic communication links. We focus on the error-correction encoding at the transmitter side as well as decoding at the receiver side considering the simplicity of implementation and low power consumption at both transmitter and receiver.

Mining Version Histories To Automate Merge-Conflict Resolutions

In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to possible code inconsistencies.
When multiple developers make inconsistent changes, textual, syntactic, or semantic merge conflicts may occur during integration.

Design and development of an intelligent measurement flight mode

Testing industrial facilities including pipelines and tanks are key to optimize operation and maintenance costs in heavy industries such as oil and gas. Hazardous industrial spaces (e.g. confined spaces) are of the most challenging and costly areas to inspect. WorksafeBC has reported about 18 people have been annually killed in confined spaces in BC, in the last decade. Avestec is focused on development and commercialization of a novel flying robot (Robotic UAV) for inspection of hazardous spaces such as interior of tanks for various industries.

A Customized CAD Tool for Automated CNC Program Code Generation

To develop parts from an initial design to the final product is a very tedious process in the mold manufacturing industry. Computer Numerical Control (CNC) plays a major role in the mold manufacturing industry to create products in a fast and efficient manner. The goal of this project is to automate the CAD to CNC program code generation. A customized CAD tool will be developed that reads a three-dimensional (3D) CAD file specification for a part, and automatically synthesize optimized G-code that will be used to program the CNC machine to manufacture the given part.

A nanoscale electrochemical sensor for measuring changes in blood-glucose levels

The proposed work main goal is to improve the overall human health quality through providing an online monitoring device acting as a data platform that represents a gateway to simple solutions that allow consumers and patients to better manage their health and disease risk. The broader mission includes leveraging the data platform to improve diagnostics
The technology is to be inserted in the human body under the skin layers without the need of any advance operational procedures.

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