Statistical and Machine Learning with Applications to a Hybrid Recommender System for Retail Data

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of customer behaviour. Through a data-sharing/consulting partnership we plan to perform research on the design of recommender systems customized for the data-sets available to brick and mortar retailers.

Multi-agent Quadrotor Control and Distributed Intelligence in GPS Denied Environments

Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here will give a first step in this direction.

Enhancement of signal quality in Near Infra-Red (NIR) spontaneous Raman spectroscopy using coherent detection techniques for use in real-time cancer microsurgeries

Raman spectroscopy is a compound identification technique that can be used for real-time identification of cancerous tissues during surgery. The development and clinical translation of an intraoperative surgical-guidance instrument based on this technique is the main objective of ODS Medical, a Canadian startup. However, Raman signals are intrinsically very weak thereby requiring the measurements to be done in an absolute dark environment in order to minimize interferences by sources of light in the operating room.

Vital signs monitoring at home using the pulse oximeter utilizing analog sensors on a mobile device

The research project will develop key algorithms that enable pulse oximetry, on a smartphone, to be used effectively as a device for monitoring the function of heart and respiratory system at home. LGTmedical has developed a pulse oximeter that utilizes inexpensive clinical sensors driven by software running on a smartphone, sending the driving signals through the audio port. This technology already operates with clinical accuracy for uses in spot-check monitoring of blood oxygen and heart rate.

Design and Development of a High-Resolution Sensory System for Detection of Biogenic Signals - Year Two

The main focus of this project will be conducting research and developing novel sensory systems to be used in various agricultural environments. The proposed research project also involves development of interpretation algorithms and data-mining software. Ecoation Innovative Solutions (EIS) developed a technology that monitor and interpret different plant signal patterns.

Life-cycle cost analysis of compressed air energy storage systems

The proposed internship aims to study how the performance and the reliability of mechanical energy storage systems influence their life-cycle cost (LCC), including the acquisition cost, the maintenance, and the energy costs. First, the effect of the variation of the design parameters on the performance and acquisition cost of the product will be assessed. Second, the effect of materials and processes on the reliability and the LCC of product will be studied. Lastly, the energy cost associated with the operation of the product will be analyzed.

Comparing and Improving Approaches to Topic Modeling

The proposed research project aims at evaluating and improving a technique in Statistical Natural Processing called Topic Modelling in order to apply it to real-life scenarios. Topic modeling is a techniques that allows the quick discovery of what the main topics of a document collection are, and thus automatically answers the question “What do these documents talk about?”.
Several approaches have been proposed to implement topic modeling, but their evaluation have rarely taken the end-use into account.

Graphene Oxide membranes for acoustic drivers

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing loudspeaker technologies.
This project seeks to improve the manufacturing techniques and acoustic characteristics of these Graphene-CMs.

A remote sensing-based wetland inventory and classification framework for Newfoundland and Labrador using satellite optical and synthetic aperture radar data

This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach will help Ducks Unlimited Canada for conserving wetland and for waterfowl, wildlife and people.

Design of Polar Codes for Multiple-Input Multiple-Output Communication Systems: Constellation and Code Design

Reliable communication over wireless channels has been an active research area for decades. By employing multiple transmit and receive antennas, multiple-input multiple-output (MIMO) systems increase the capacity of a wireless channel, bringing significant gain over single-input single-output (SISO) systems. One of the main tools to achieve the improved capacity are error correction codes. During the years since the introduction of the error correction codes, there have been many important breakthroughs in this field. Polar codes are the most recent of these revolutions.

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