Leveraging data analytics in modern tax function

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 knowledge that can be dynamically shared and accessed by multiple teams.

Comparing and Improving Approaches to Topic Modeling

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 documents talk about?”.
Several approaches have been proposed to implement topic modeling, but their evaluation have rarely taken the end-use into account.

Graphene Oxide membranes for acoustic drivers

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 loudspeaker technologies.
This project seeks to improve the manufacturing techniques and acoustic characteristics of these Graphene-CMs.

Resource Allocation for Cloud-Based Notary Service

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 centralized or distributed, the proposed research will develop a new hybrid resource-allocation scheme that enjoys clear advantages over conventional schemes.

Complying With Privacy Legislation in a Globally Connected Technological World: Challenges and Solutions

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 is to help Cyanic Automation learn which laws could apply to them, why it is important for them to make sure personal information is kept secure, and how they can go about doing that.

Statistical analysis and interpretation of metabolite profiling results

Data analysis and interpretation is a critical step in metabolomics. In metabolomics studies, large amounts of data must be evaluated by appropriate analytical tools in order to transform data into knowledge. Chenomx Inc. is a company that provides metabolomics research software and services. Its flagship software product Chenomx NMR Suite is an integrated set of tools for identifying and quantifying metabolites in Nuclear magnetic resonance (NMR) spectra.

Design of Polar Codes for Multiple-Input Multiple-Output Communication Systems: Constellation and Code Design

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 years since the introduction of the error correction codes, there have been many important breakthroughs in this field. Polar codes are the most recent of these revolutions.

Document Engineering via Semantic Correlations - Year Two

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 platform that generates documents by assembling clauses (content-blocks) together based on a set of user inputs.

En Route to 5G: Long-term Evolution (LTE) Enhancements for the Internet of Things (IoT) - Year Two

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 wireless infrastructure, much of the future growth is predicted to come from non-human operated devices or so-called machine-to-machine (M2M) communication.

Physical simulation of light sources for integrated photonics

The objective of this proposed project is to develop a prototype numerical simulation software that can simulate the physical processes inside semiconductor lasers and exchange information with a simplified compact model. The combination of these two models can better balance the trade-off between accuracy and simulation performance. The resulting integration will be suitable for studying issues arising from the integration of semiconductor lasers in photonic integrated circuits with 1000s of elements, which is a critical challenge for the next generation of optical communications devices.

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