Application of advance signal and image processing to develop objective diagnostic and monitoring technologies as well as predicting the response to treatment for Alzheimer’s disease

An ongoing study in Winnipeg is investigating the possibility of using repetitive transcranial magnetic stimulation to help treat the cognitive and memory declines in Alzheimer’s disease. The objective of this project is to analyze in detail the current results of this study. We will look for connections between MRI scans of the participants and their response to the treatment. We will also look at anxiety and resting motor threshold (a measure of how sensitive they are to our treatment device), to see how they change the effectiveness of treatment.

Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft

On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller.

Fractal-element based Magnetic Resonance Imaging Coils for Multi-nuclear Imaging

An MRI (Magnetic Resonance Imaging) scanner is a machine that uses magnets and radio waves to take pictures of the inside the human body without needing to use surgery. An MRI scanner is used to look at things like the brain, liver, heart, and other organs in your body. The scanner uses a “coil” placed near the body to take a picture of that area of the body. This research project uses new shapes of coils to better detect the organs hidden inside. The new shapes of coils can also help detect

Application of Brain 23Na “Big Data” for Future Disease Classification

Sodium is a chemical ion which is essential for a healthy brain. The body naturally regulates its concentration inside and outside of cells through normal metabolism. Disruptions in this intricate balance can be caused by various neurological disorders, such as multiple sclerosis, concussion, or Alzheimer’s disease. In order to provide personalized medical care, a “big-data” approach is required whereby an individual’s brain can be compared to a standardized template or atlas – unfortunately, a sodium atlas, representing normal sodium concentrations, is not currently available.

Improving 23Na – Magnetic Resonance Spectroscopic Imaging through RF Coil Development

Magnetic Resonance Imaging (MRI) machines use radiowaves and large magnets to safely produce pictures from the insides of the body. The radiowaves are emitted and detected by special antennas that surround the body. Most MRI scanning involves measuring of water in the body. But other atoms, like sodium, can also be seen too. This work described here involves designing new antennas to safely see sodium inside the body. More specifically these antennas will be designed based on novel geometric fractal shapes, which are regularly seen with cell phones.

Auto-configuration of an autonomous farming vehicle using Machine Learning

Precision agriculture has many benefits especially for the developing world. Autonomous tractors and automatic planting systems have high accuracy, resulting in a substantially improved return on investment for growers, making food planting more economical. Moreover, the tractors can collect information on soil conditions, which can lead to improved maintenance of the crops, prevent blights, and achieve higher efficiency and higher plant food quality.

Advanced Signal Processing and Machine Learning for BLE-based Indoor Localization

The Internet of Things (IoT) is a new emerging paradigm and is rapidly gaining ground in different applications of significant engineering importance including but not limited to smart buildings, and smart public environments. The main enabling factor of this promising paradigm is integration of identification, localization, and navigation technologies with smart hand-held devices equipped with sensing, processing, and communication capabilities.

NLP Sales Assistant

The goal of this project that will be conducted in collaboration with Heyday is to create a technology that uses a given messaging platform (e.g. Facebook Messenger, web chat widget) that allows users to communicate easily and smoothly with their preferred brands or retailers. This technology should allow the automation of answers and interaction between users and retailers. The technology that we would like to develop will be based on advanced Natural Language Processing (NLP) and machine learning techniques.

An information-theoretic framework for understanding generalization in neural networks

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, etc. DNNs are prone to overfitting because DNNs usually have many more parameters than the available training data. However, they usually have a low error on the test data.

Research, development and testing of an instrument that can monitor and detect internal failure in liquids pipelines

The ubiquity of pipeline incidences have resulted in undesirable economic, environmental and social consequences. However, pipelines are a critical element of the transportation system of most countries, and are needed to convey goods and resources from one place to the other. In this research project, a technology that can be used to monitor operating pipelines is developed and extensively tested. This technology is projected to be able to identify the onset of pipeline failure earlier than existing technologies, and contribute towards improving the integrity of operating pipelines.

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