Super Varnishes for Aerospace Coatings

Organic coatings are used to protect surfaces in many prominent industries such as automotive and aerospace. The industrial partner has found it imperative to develop their varnish for aircraft interiors in-house. They have identified a “super varnish” that must have exceptional resistance to cracking, prevention of shrinkage and adhesion to wood substrates (grouped herein as […]

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Machine learning in fluid composition quantification

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these […]

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Machine-to-Machine Remote Asset Monitoring & Optimal Inspection and Repair Logistics

Cyber-physical systems or Industrial Internet of Things (IIoT) applications are more advanced than commercial IoT devices/applications mainly because of the prevalence of connected sensors and embedded systems in the industrial world. The objective of this project is to develop and package a low range, low power (LoRa Technology) remote asset monitoring and control system for […]

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Effects of Dietary Fatty Acids on Overwinter Survival of Underyearling Striped Bass (Morone Saxatilis)

To achieve the goal of commercializing striped bass aquaculture in Nova Scotia, the obstacle of high (up to 100%) overwinter mortality among young-of-year fish needs to be overcome. Mortality is restricted to fish that are under one year old (underyearlings, 500g) suffer negligible mortality. Potential factors for such low survival rates identified through four years […]

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Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of […]

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Modelling challenges in the fundamental review of the trading book

Upcoming changes to financial regulation and oversight are creating increased demands for the accurate measurement of financial market risks and the provisioning of adequate economic capital to ensure that financial institutions can withstand market shocks and extreme events. The objective of this research project is to study issues related to the theory, performance, and practical […]

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Precious metal mineralization at submarine volcanic centres: insight from the felsic centres of the Abitibi greenstone belt, Quebec, Canada

The proposed study will examine the volcanological, mineralogical and geochemical evolution of the felsic volcanic complex hosting Horne deposit in a comparative study with the surrounding felsic volcanic centres in the Rouyn-Noranda region of Quebec. Volcanic and intrusive facies, alteration phases and mineralization styles will be described for each centre. Mineralization will be further examined […]

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Proxy models for Thermal Production Optimization

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data […]

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Approximations of Exotic Option Pricing Models

In order to properly manage the risks associated with trading complex financial products, CIBC carries out computationally expensive calculations to properly assess their exposure to various market factors. To make these computations more feasible, it is of interest to find new, efficient and approximate mathematical formulas to compute such exposures. It is also important to […]

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Joint Recommendation and Inventory Management System

Using modern machine learning techniques and analytical tools, the intern will create a joint recommendation and inventory management system that will be able to automatically choose the ideal package for Chic Marie’s customers. This package will include curated clothes for each customer based on their tastes, buying history and any other data they wish to […]

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Effectiveness of recycled glass as a wastewater effluent filtration media: A pilot-scale study

With increased emphasis on water quality in the Lake Winnipeg watershed, more stringent guidelines for wastewater effluents are being implemented. Smaller municipalities and remote communities, with limited financial resources, will be facing regulatory pressures, particularly around discharge of phosphorus, as well as micropollutants such as estrogens, pharmaceuticals and pesticides. To ensure the release of high […]

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