Reliable communication over wireless channels has been an active research area for decades. By employing multiple transmit and receive antennas, multiple-input multiple-output (MIMO) systems increase the capacity of a wireless channel, bringing significant gain over single-input single-output (SISO) systems. One of the main tools to achieve the improved capacity are error correction codes. During the […]

We propose to develop smart algorithms for document generation, by innovating in the field of natural language processing and document intelligence. We envision the next generation of business applications able to parse and understand documents, to compose documents automatically, and to respond intelligently to voice commands. Our industrial partner, Koneka Inc. has a document automation […]

Cellular wireless communication has reached a level of coverage and reliability that it is considered a commodity. However, the dramatic increase in Internet traffic to and from wireless devices poses significant challenges for network operators. While the current growth of traffic is mostly due to consumers communicating more frequently and larger amounts of data over […]

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing […]

Cloud computing has emerged as an important platform for business and companies, providing a cost-effective way to scale business service with users’ demand. The proposed research project aims to take full advantage of cloud computing for legal-service companies in Canada, with a particular focus on cloud resource allocation. Unlike conventional resource-allocation schemes that are either […]

The goal of this project will be to develop a privacy policy and procedures manual for Cyanic Automation in order to help them understand the privacy laws that protect the personal information they collect while doing business. Canada has several pieces of privacy legislation that can be confusing to understand, so one of my goals […]

Investigating geographical footprints of income shifting by multinational enterprises. PwC owns a large data set across all industries in Canada from its tax consulting engagements and annual standard tax filings from clients. This growing data source is an opportunity for accurate tax benchmarking, trend analysis and gaining deeper insights by transforming them into market differentiating […]

The proposed research project aims at evaluating and improving a technique in Statistical Natural Processing called Topic Modelling in order to apply it to real-life scenarios. Topic modeling is a techniques that allows the quick discovery of what the main topics of a document collection are, and thus automatically answers the question “What do these […]

Researchers have recognized Information and Communication Technologies (ICTs) potential but have not fully understood the benefits of ICTs as ways of strengthening rural communities in places such as Manitoba. This project’s goals are to create and improve research methods and tools to determine how rural communities in Manitoba use broadband and how those communities can […]

Heart failure is among the causes of death in developed countries. Scientific and medical research has made improvements in treating this condition. Mathematical modelling and computer simulation would help in developing the necessary technologies to detect and treat heart blockages and also give a better understanding and protocols for ablation, the clinical procedure used to […]

We propose to design and build an advanced visual analytics tool to support the analysis of large-scale e-commerce datasets. This data is generated by software platforms that collect information about the performance of e-commerce systems, consumer behaviour, and messages sent by retailers to consumers. Current e-commerce tools provide only simple overview statistics because of the […]

Project is to import ten year’s of historical data on news events, public sentiment metrics and the price movement of S&P 500 related equities for study and analysis through the latest Data Mining and Machine Learning techniques. The goal is to uncover correlation and causality between events and price movement of global markets in multiple […]