Enhancing service quality in community health care through preference-based scheduling

In this project, the intern will develop an integrated patients and care givers scheduling system for the allocation of health care resources in community health care. This system provides patients with an online preference collecting interface for them to express their preferences on time, location, and care givers when estimating their service costs and booking […]

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Analysis of Visual Language for a Novel Gesture-Based Interface that Supports Improved Cross-Functional Development

The following document explores the impact of visual language and new gesture-based tools to create prototypes that can be used in the final stages of production. With the contemporary ample use of different prototyping tools to create iOS applications, the interaction between designers and programmers is evolving based on what these tools allow. Small cross-function […]

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Visualization and Analysis of User-Authored Annotations using Graphs

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

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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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