Location-routing models and methods for improving the operations of an express package delivery company

Purolator is Canada’s leader in express package delivery services, with $1.6 billion revenues (2013), 12,000 employees, 125 shipping centres and 170 processing facilities nationwide. The company has to improve its operations on a continuous basis in order to satisfy its customers, while maintaining its efficiency in the face of ever-growing challenges such as fierce competition, […]

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Information extraction from real-world business documents

This research project aims at creating a robust, efficient and reliable tool for Information Extraction (IE) from vast amounts of textual data related to the financial domain. Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions […]

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Optimizing response prediction by an interactive tutoring system

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better […]

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Developing Strategic Planning Tools to Support Forest Industry Transformation

Much of the management theory taught in today’s classrooms is focused on consumer-based, growth businesses rather than natural resource-based, cyclical industries. This study will examine how natural resource industries, such as forestry, recognize and adapt to structural (permanent) challenges in their market environment. The research will have three main components: first, using publically available information […]

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Integrating Computational Linguistics into Game Analytics

Game analytics is a rapidly growing and increasingly important quantitative element of game development in which player and play data is analyzed to discover actionable information to guide monetization and future development activities. Textual and linguistic analyzes are rarely (if ever) used in practice for game analytics, yet these techniques could provide a wealth of […]

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Mining of population-based routinely collected health data to determine risk factors associated with pediatric morbidity in Ontario, Canada

ICES is a non-profit organization tasked with housing and conducting research of Ontario’s health administrative data. Data is available on all legal residents of Ontario, Canada most populous province. In addition, these health administrative data are being supplemented with data from other sources, such as maternal and newborn clinical data, newborn screening data, and immigration […]

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Improvements for Dione: An Integrated Software Analytics Solution

Solutions proposed by software engineering researchers are not usually used by practitioners due to the lack of tool support. The research software Dione was developed as a solution to this problem. Dione is a platform agnostic integrated software analytics solution to tackle this problem. We have implemented prediction models for effort estimation and defect prediction […]

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Enhancing Software Lifecycle Visibility and Traceability

Teams of specialized workers develop most software. For example, one team may specialize in the requirements that describe what the software is to do. Another team may specialize in producing the software itself. Yet another team may specialize in determining whether the software meets the desired requirements. Supporting communication between all these teams is challenging: […]

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Optical Recognition of Anglers

The Freshwater Fisheries Society of British Columbia is dedicated to the conservation, restoration, and sustainable exploitation of British Columbia’s freshwater fish resources. They have set up cameras to label fishing levels in BC lakes, but it is too time-consuming to count the number of fishers in all these images. We intend to use recent advances […]

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Gaining Insight from Crash Reports and Bug Reports

This project seeks to address the flood of bugreports and crashreports that software companies must address when they build consumerfacing software. Organizations can easily face 50,000 crash reports per day. Developers cannot manually sift through them all. The goal of this work is to exploit modern search engine technology and crash report representation to enable […]

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