Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Valuing Options in the Alberta Electricity Market

Like many companies in the energy business, Encana Power Corp. is interested in pricing options and future contracts related to the price of power and gas. The heat rate plays a role in related decisions and it is of importance to determine better estimates of swing and related options. The internship research will develop and calibrate models for the underlying assets using the large amounts of data available to Encana.

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Faculty Supervisor:

Student:

Hong Miao

Partner:

Encana Power Corp.

Discipline:

Finance

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

The Role of Stream Fertilization in the Recovery of Inner Bay of Fundy Atlantic Salmon Populations

This study will gather baseline information on limiting nutrients, current productivity levels and food web structure in two study systems within Fundy National Park as well as other comparative sites within the province, with the intention of applying this knowledge in a follow up study wherein nutrients are added to the stream. This, in turn, will show that fish productivity (i.e. salmon turnover and, ultimately, smolt output) of IBF rivers is limited by algal and invertebrate productivity and show whether stream fertilization can increase salmon productivity in Inner Bay of Fundy rivers.

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Faculty Supervisor:

Dr. Richard Cunjak

Student:

Katrina Chu

Partner:

Parks Canada

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

University of New Brunswick

Program:

Accelerate

Streaming Workload Characterization and Multi-level Client Clustering

This project is part of a larger research project which investigates the applicability of the peer-to-peer (P2P) computing paradigm in designing large-scale content distribution systems. To develop an efficient content distribution system, it is essential to understand the workload that will be distributed, the behavior of content consumers and the environment in which the system will operate. In this project, the intern seeks to understand and analytically model the characteristics of the streaming workload imposed on servers of large content providers and its impact on the underlying network. Analytic models describing the distribution of objects (sizes, relative popularity, and types), clients (geographical distribution, arrival rate, request rate, session duration, and capacity), and network load (traffic per client, per network, and per ISP) will be developed. Based on the analysis of the workload, the intern will develop multi-level clustering schemes to facilitate content sharing and optimize client-perceived quality.

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Faculty Supervisor:

Dr. Mohamed Hefeeda

Student:

Osama Saleh

Partner:

CBC Radio

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Rapid Detection of Salmonella Species in Composted Biosolids Using Real-time Polymerase Chain Reaction

The intern will assist the Greater Moncton Sewerage Commission (GMSC) in the development and production of biologically-safe composts from biosolids by providing novel technologies to assess its biosafety. To achieve this, the intern will develop molecular tools, based on the real-time polymerase chain reaction (PCR) technology, to allow quick, accurate and reliable detection of human microbial pathogens directly from compost using specific DNA primers. This novel approach will not require culturing microorganisms on synthetic media, hence reducing the time and simplifying the manipulations usually associated with standard microbiological techniques. Development of a novel rapid technique permitting to assess the biosafety of composts produced from biosolids will help the Greater Moncton Sewage Commission to provide a safe product that can be used in the environment.

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Faculty Supervisor:

Dr. Martin Filion

Student:

Amy Novinscak

Partner:

Greater Moncton Sewage Commission

Discipline:

Biology

Sector:

Life sciences

University:

Acadia University

Program:

Accelerate

Performance Modelling of Professional Cyclists Using Self-organizing Maps

This project aims at performance modelling of athletes and involves the collection of detailed data that affects rider performance in professional cycling. This data is utilized for assessment of training and performance and for supporting individual training schedules through modelling and profiling of individual athletes. The methodology is based on pattern discovery and recognition using Self Organizing Maps, an exploratory data analysis model of demonstrated success in automated monitoring tasks involving multiple parameters. The models and profiles could help identify relationships between testing (in the lab and field) and could be employed in devising optimum training strategies for individual athletes.

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Faculty Supervisor:

Dr. Benjamin Jung

Student:

Stefan Pantazi

Partner:

Pacific Sport

Discipline:

Computer science

Sector:

Sports and recreation

University:

University of Victoria

Program:

Accelerate

Multi-class Problem Decomposition Using Genetic Programming

Behavioural detectors for intrusion detection require training in order to correctly characterize the operation of a service – protocol combination. Implicit in this is the assumption that the learning algorithm will scale to large datasets and provide simple solutions. This work will address both requirements under a Genetic Programming context through the use of a combined multi-objective, host-parasite model. It has already been demonstrated that both schemes are appropriate independently. This project will integrate the two schemes to provide a single, holistic solution and benchmark under representative datasets.

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Faculty Supervisor:

Dr. Malcolm Heywood

Student:

Andrew McIntyre

Partner:

Telecom Applications Research Alliance (TARA)

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

Modelling Game Strategies to Improve Performance

The objective of the project is to determine the impact of various game features on VLT game play. These features are based on the current strategies adopted by SPIELO for its North American market. This data will be collected from players in a real life setting, then analyzed, and used for player profiling and as an input for improving existing strategies and measure their effectiveness. The analyzed data, the derived player profiles and the inference from the study will be used in developing a software simulator of original gaming environment.

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Faculty Supervisor:

Dr. Prabhat K. Mahanti

Student:

Vinay Sukumar

Partner:

SPIELO

Discipline:

Computer science

Sector:

Digital media

University:

University of New Brunswick

Program:

Accelerate

Mobile IP Infrastructure for Medical Data Transmission

Currently, EMS paramedics record patient information such as history, medical assessment, and treatments rendered onsite with pen and paper. They then convert this information to a paper-based call report and hand it over to the hospital along with the patient. This method is time-consuming and error prone. It causes delay for data analysis and lengthens paramedic turn-around time. This project will produce a data collection tool based on the mobile IP infrastructure which will reduce clerical errors, improve data analysis and medical care. The EMS Paramedic crew will use this tool for instant generation of electronic call reports onsite which will be passed on to the hospital.

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Faculty Supervisor:

Dr. Janet Light

Student:

Okechukwu Ikejiani

Partner:

Atlantic Health Sciences Corporation

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

Kinematics Modelling and Trajectory Design for Arm and Shoulder Physical Therapies Performed by Rehabilitation Robots

This project involves studying the kinematics of the human body during physical therapies on the arm and shoulder. With guidance and assistance from Glenrose Hospital, the intern will collect a library of typically prescribed motions of the shoulder and arm during physical therapy. He will then develop a mathematical model to represent the kinematics of the arm and shoulder as well as a parameter identification routine to identify the model parameters using simple moves and coordinate measurement techniques. He will use this kinematics model to design and express the trajectories that should be followed by the rehabilitation robot to deliver the desired motion. The results of this work will be later used to optimize the design of a rehabilitation robot.

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Faculty Supervisor:

Dr. Saeed Behzadipour

Student:

Siavash Rezazadeh

Partner:

Glenrose Hospital

Discipline:

Engineering

Sector:

Medical devices

University:

University of Alberta

Program:

Accelerate

Hedging Property & Casualty Insurance Risk

The Property and Casualty Insurance Council of Canada (PACICC) is an umbrella body which insures Canadians against the risk that their providers of car and house insurance fail. It comprises many insurance companies, both large and small. The concern is that a local disaster might force the collapse of a locally concentrated insurance company, at large cost to PACICC. Such events are rare but costly. As such, it makes sense for PACICC to join with other similar bodies (such as CDIC, CUCC, and CIDO) to share these risks. This research internship will make a quantitative investigation of these issues using modern techniques of financial mathematics.

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Faculty Supervisor:

Lindsay Anderson

Student:

Sharon Wang

Partner:

Property and Casualty Insurance Compensation Corporation

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

Efficient Mining of Agro-Meteorological Data

Data mining refers to non-trivial extraction of implicit, previously unknown, and potentially useful information from data. In this project, the intern will apply data mining techniques to agro-meteorological data provided by Manitoba Agriculture, Food and Rural Initiatives (MAFRI). Specifically, he plans to develop mathematical solutions to analyze both current and historic weather data as well as related information such as crop yields, soil inventories, and crop management practices. These solutions would identify various explicit, previously unknown, and potentially useful information (such as relationships and trends that exist both spatially and temporally) from the agro-meteorological data. We also plan to design, implement, and integrate these techniques into an operational quality assurance and control system whereby real-time weather and environmental data are analyzed and assessed for observations that fall outside the limits imposed by the relationships that have been identified. Then, he will apply this system to assess historic climate data to identify trends, shifts, or patterns and as well as key factors affecting the level of agricultural risks.

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Faculty Supervisor:

Dr. Carson Leung

Student:

Mark Anthony Mateo

Partner:

Manitoba Agriculture

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Manitoba

Program:

Accelerate

Development of Mathematical Models for Flow in a Porous Media

Continuous fiber reinforced thermoset composite structures can be produced by injecting liquid resins into a mold where it hosts pre-placed fiber reinforcement. One of the common processes presently utilized in the industry is the Resin Transfer Molding, abbreviated as RTM. In this process, fiber preforms are placed in a closed mold and resin is injected into the mold to impregnate the preform. After the resin cures, the mold is opened and the final composite part is de-molded. RTM can produce complex and high quality composite components in series production with smooth surface finishing. In order to be able produce high quality composite parts in repeatable and consistent manner with no intolerable defects such as dry-spots (regions not impregnated by resin when the resin reaches the vent) and other types of defects due to the presence of race tracking, resin flow through the reinforcement has to be well-studied. Race-tracking is defined as the preferential flow of resin in high permeability region (where fibers and edges of the mold meet) created due to fiber lose during the lay-out of the preform into the mold. Race-tracking creates an unbalanced or uneven resin flow in mold filling process, hence encouraging the formations of defects in the final parts. To this end, an accurate and comprehensive study of resin flow through the reinforcement (in essence, modelling of flow in a porous medium) can be considered an important tool for finding a proper mold design, RTM processing parameters, and for optimizing the RTM process.

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Faculty Supervisor:

Drs. Afzal Suleman & Mehmet Yildiz

Student:

Casey Keulen

Partner:

Profile Composites Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Victoria

Program:

Accelerate

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