Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our […]

Cryptography allows to achieve the privacy of conversation between communicating parties by means of encryption. In the core of many cryptosystems lie mathematical problems that are difficult to solve. However, many of these problems, though intractable to attacks carried through electronic computers, are vulnerable to quantum computer attacks. ISARA is a security solutions company that […]

The Ciena Environment for Network Innovation (CENI) is a research project at Ciena which looks in to future computer communications networks with special focus on increased capacity (bandwidth) and control (SDN, or Software Defined Networks). This project operates an international testing network that connects Ciena’s Ottawa research facility to university based network researchers in Chicago, […]

The objective of the research is to provide international development agencies and non-governmental organizations (NGOs) with decision making and evaluation tools that are practical and, at the same time, are based on sound academic foundations. These tools are specific to a sector, such as nutrition, and a country, such as Guatemala. The resulting documents will […]

Developing a model for a system can come with a lot of uncertainty, especially in the early stages of development. Recent research has be done into removing uncertainty during early stage models. Doctalk plans to use modern research to develop a viable product for market, while contributing to the process of the research being applied […]

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine. The typical recommendation engines work […]

Some diseases and brain injuries can seriously impair language. Patterns in an individual’s speech can allow computers to describe these impairment with a high degree of accuracy. These techniques can be used to test large groups of people for drug trials and potentially replace pen-and-paper based testing methods. To fully automate this process, speech recognition […]

Disposable microfluidic devices, also known as labs-on-a-chip, made out of plastic materials have seen increasing applications in chemical and biomedical analysis. In most applications, microfluidic devices usually incorporate small channels and chambers for micro sized dimensions, using heights between a few hundred to a few micrometers. Currently, manufacturing processes have been established to create these […]

The QWeMA division of CANNEX develops solutions for the financial and insurance industry of North America. Our analytics play an important role in determining the value proposition of investment products. Our solutions help the financial community and public through their financial advisors to be able to make informed decisions. We work at the intersection of […]

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform. Image style classification is the […]

Copper and palladium (Cu-Pd) mineralization at the Marathon Deposit are associated with gabbro rocks. It is fundamentally important to be able to distinguish among the different types of gabbros, because only those of the Marathon Series are host to mineralization. This is accomplished through logging drill core, whole rock geochemistry and mineralogy. Mineralization at the […]

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks […]