Fine-Grain MPI Year Two

The demand for computing power has been rapidly growing over the last decade. The ability to efficiently utilize computing resources and improve the productivity of applications is necessary for the competitiveness of any industry and it will become more critical as the demand for computational resources increases. The computer hardware sector has seen rapid advances with the introduction of multicore and many-core processors and has introduced many challenges for the software development community to efficiently utilize the new architectures.

Collocation-focused Writing Assistance for Adult Non-Native Writers Year Two

The project will research software for providing writing assistance to adult non-native writers in post-secondary education and corporate settings. Of particular interest is encouraging writers to employ a wider range of linguistic constructions, while avoiding repetitive, dull choices or language that is inappropriate to the local context or the genre of the text in question.

Design and Evaluation of a Lightweight Persistent Data Store for High-Frequent Concurrent Read and Write Accesses

This research project will systematically compare different design alternatives for a data store module that is tuned for concurrent accesses by multiple independent threads in a program. The particular access pattern is modelled after the specifics of automated securities trading programs implemented in Java. Based on a systematic evaluation, a prototype implementation will be developed that will allow X3 Trading to dramatically improve the efficiency of business application development.

Management and mining of big energy sector data

With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & management system that is flexible, scalable and fast to handle distributed data in a parallel fashion for the partner organization.

Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This approach has been very well received by the industry and has proven to be extremely robust in practice. However, this approach is semi-automatic and cannot work without user input.

Big Data Cleaning

Poor data quality is a barrier to effective, high-quality decision-making based on data. Declarative data cleaning has emerged as an effective tool for both assessing and improving the quality of data. In this work, we will address some important challenges in applying declarative data cleaning to big data, challenges that arise due to the scale, complexity, and massive heterogeneity of such data. First, we will investigate the use of domain ontologies to enhance declarative data cleaning. Second, given the dynamic nature of big data, we will develop new continuous data cleaning methods.

Long-dated foreign exchange interest rate hybrid financial derivatives: modeling,calibration, pricing, and risk-management

The proposed project addresses three major challenges in modeling long-dated (maturities of 30 years or more) foreign exchange (FX) interest rate (IR) hybrid derivatives, namely

(i) the strong sensitivity of the products to the skew of the FX volatility smiles,

(ii) their very long maturities, and

(iii) popular embedded exotic features, which provide possibilities of early termination of the products.

Increasing and Automating Adaptivity of LogicBlox Datalog Platform

Declarative programming techniques have been used to make programming available to common users through introducing query languages such as SQL and spreadsheet programs such as Excel. The proposed industrial partner, LogicBlox, has developed software that enables highly-complex data analysis through the flexible and familiar form of spreadsheet computing. The main goal of this proposal is to increase and automate adaptivity of LogicBlox platform, and to evaluate proposed methodology through applications in local industry.

Managing Knowledge Discovery and Data-Mining Through Visual Analytics, Concept Maps and Ontologies

This research project aims to prototype and evaluate a computer system supporting the creation of data-driven domain ontologies.
The first phase consists in creating a working prototype of a computer application supporting:
1) Preliminary research;
2) Creation of an interactive and visual computer interface allowing the visual concept mapping of a domain, its entities; define relationships between those entities and define attributes and parameters of those entities and relationships;

Development of a smartphone-based sensor system to assess everyday movement, speech, and sleep for stroke recovery Year One

Following a stroke, the rehabilitation gains achieved in intensive therapy are often lost without sustained follow-up. The long-term objective of the project is to extend the reach of the health team (physicians, therapi sts, caregivers) following hospital discharge to continue therapy using mobile devices. As a first step, the objectives of the planned project are to:

1) develop clinically meaningful metrics related to the quantity and quality of everyday movement, speech, and sleep from body-worn sensor data,

2) to design and fabricate system prototypes for testing, and