3d density estimation using normalizing flows and its application to 3d reconstruction in cryo-EM

Generative models enable the researchers to address multiple problems spanning from noise removal to generating novel samples with properties of the domain. Generative models are commonly studied for images and in this project the idea will be expanded to 3D structures or volumes. Single-particle cryo-electron microscopy (cryo-EM) is a technique to estimate accurate 3D structures of biological molecules which is used by practitioners in fields like precision medicine. This allows them to design drugs that could cure patients with rare diseases and avoid side effects.

Developing Smart Price Forecasting Service for Supply Chain Procurement of Agri-fresh Produce Using Machine Learning

Loblaw Companies Limited (LCL) supplies all fresh produce (FP) to South Western Ontario stores from Waterloo Distribution Center (DC). DC decides prices and quantities to meet FP demand. Timed fair priced orders minimize waste, bring prosperity to growers, consumers and FP trades. Factors affecting prices are highly uncertain due to environmental and socio-economic effects such as income, labor, trade, globalization and climate change which makes price prediction challenging.

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.

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