This proposed research will be held as part of the implementation of an online marketplace for smart assets, project that will be developed at Side Effects Software .The main objectives of this applied research project will be first, trying to predict the performance requirements. Second, estimating the set of queries that need to be […]

Mobile Network Carriers are experiencing unprecedented data traffic loads which are straining their existing infrastructure. They are thus interested in exploring research areas which focus on reducing this traffic load. The malicious traffic generated by malware on smartphones is of particular interest. My research focuses on the generation of a software system that marks traffic […]

The research project aims to develop an effective method that utilizes multiple features to improve mass spectrometry based peptide identification with database search approach. The project is a continuation to the student’s previous research on precursor charge state prediction, since predicted charge state is a novel feature and has a great potential to discriminate the […]

  Mobile Network Carriers are currently experiencing data traffic at such high levels that congestion is becoming an increasingly critical problem. These mobile carriers are exploring new methods to reduce congestion. Malicious traffic that is generated by smartphones is an important issue relative to this problem domain. There is even potential for a particularly virulent piece […]

  Fourth Generation networks (4G), mainly Long Term Evolution (LTE) technologies are going to be deployed in large scale starting from 2011. To leverage the benefits of this huge market opportunity, service and content providers need to deliver data capacity and Quality of Service (QoS) similar to existing w ire line solutions. But, assuring good QoS over w […]

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 […]

  Traditional GPS RTK system requires at least two receivers one of which serves as base station with known coordinates. Assuming separation between base and rover receivers is not too long, for example 10 km, spatial correlations for GPS observation errors are pretty significant. Base station can be used to correct rover observations. As a […]

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 […]

With dramatic improvements in vessel performance and tactical systems of high speed crafts in recent years, naval, coast guard and law enforcement agencies increasingly task them to complete a growing range of operational objectives. The combination of faster vessels, more sophisticated systems and extended responsibilities has driven fleet operators to re-examine how their boat crews […]

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 […]

  Due to the rapid growth of consumer grade devices and corresponding application market, the incorporation of vision capabilities into embedded systems has gained significant attention from researchers lately. Similarly to the human visual system, embedded computer vision systems analyze and extract information from visual content in a wide variety of products. Face recognition has […]

  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 […]