Metafor is developing a new class of IT system management solutions and as a part of this, Metafor wants a method to show differences between multiple deployed instances of an application. To implement this, Metafor requires an accurate and high-performance generalized tree differencing algorithm. Differencing algorithms are used for comparing different versions of a document […]

The industrial partner, Digido, is interested in developing and marketing exercise games targeted at children that leverage the increased prevalence of  smartphones and their sensing and computational capacity, including: their ability to detect activity levels; their increasing use as a gaming platform; and their integration with social media and online communities. However, current activity sensing […]

In an alien or possibly hostile environment, the situation awareness of a remote robot operator will be limited. Map information may not be known beforehand. The site may also be in a dynamic state where changes occur in the surrounding in any moment. The main objective of this project is to develop novel technologies to […]

  In this project we attempt to research and develop from ground up a scalable distributed computing based recommendation engine using machine learning. A computer science student from the University of Toronto will work with Side Effects Software at their Toronto office to implement the research intensive recommendation engine algorithm and integrate it in the smart asset online […]

Small teams of mobile robots provide nowadays the ability to assist wireless sensor networks in many threatening scenarios that unexpectedly arise during their operational lifetime. The perceived risk or vulnerability that the network is exposed to triggers an immediate, corporate action from the robotic agents (actuators). We focus on a sort of robots which are […]

To evaluate the content of free texts is a challenging task for human. Latent Semantic Analysis (LSA) can be used to automate this process. The main idea behind the LSA technology is to extract the close relationship between the meaning of a text and the words that are present in that text. ShirWin Knowledge and […]

  The intern and organizational partner are looking for unique and interesting ways of using mobile devices to help authenticate users and methods of cooperation between a mobile device and another device, a PC for example. The intern will research and implement different authentication techniques on mobile devices. Additionally, it is prudent to study and […]

This research project involves the design and implementation of an anxiety management application for transmission on the iPhone. The application employs cognitive behavioral therapy (CBT) methodology and is designed for the 16 to 25 year old demographic. Normally used in face to face therapeutic interactions, the use of a mobile application is unique in that […]

  This project pertains to the modeling, detection, and monitoring of crises in geopolitical dynamic environments. As risks are inherent to crises, we need tools to cope with the uncertainty factors involved in these situations. The objective of this project is to conduct research activities to support the understanding of crisis situations and to model […]

  Text mining is the process of automatically extracting knowledge from unstructured, natural language documents. It aims to support users in dealing with large amount of textual information. Examples for specific text mining tasks are entity detection, summarization, and opinion mining. Due to the complexity and ambiguity of natural language, this analysis is broken down […]

  This project intends to investigate new ways to make data collected through Ocean Networks Canada (ONC) underwater observatory provided by the NEPTUNE and VENUS projects  available to both scientists and the general public. The research will firstly focus on efficiency, experimenting with and comparing technologies as applied to the computationally intensive processing of the […]

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]