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

Identification of transcription factors involved in cannabinoid biosynthesis and glandular trichome formation

As an important medicinal plant, Cannabis sativa produces bioactive molecules that provide symptom relief for conditions such as severe cancer pain, nausea and vomiting associated with chemotherapy. The cannabinoid
biosynthetic pathway that generates bioactive molecules has been studied for over a decade. However, understanding of transcriptional regulators that control cannabinoid synthesis is fairly limited. The primary site of cannabinoid
biosynthesis is glandular trichomes that form on female flowers. Transcription factors have been shown to play a role of importance in trichome formation and development in model plant Arabidopsis and a closely-related species
Humulus. The underling regulation mechanisms of cannabis trichome formation remain ambiguous. If the regulatory network controlling cannabinoids synthesis can be well established, it will open the door to modify or breed marijuana plants for improved pharmacological properties. Identifying transcription factors that involved in cannabinoid biosynthesis and glandular trichome formation will enrich the knowledge for biotechnological modification of
cannabis.

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Faculty Supervisor:

Dr. Carl John Douglas

Student:

Yuanyuan Liu

Partner:

Anandia Labs Inc.

Discipline:

Agriculture

Sector:

Life sciences

University:

University of British Columbia

Program:

Elevate

Effective Early Colorectal Cancer Detection at Endoscopy Using an Adjunct Device Based on Raman Spectroscopy: Translating Technology Advances into Clinical Practices

Colorectal cancer (CRC) is the third most common cancer. Tumors in the colon are commonly found as polyps. Polyps are usually benign but adenomatous polyps can grow into cancer. Detection of malignant polyps at an early stage greatly improves CRC prognosis. However, it is difficult to distinguish between pre-cancerous and benign polyps visually using conventional colonoscopy alone. Several techniques adjunct to colonoscopy are devised, but none provides pathology specific information. Raman spectroscopy is a promising tool that provides rapid and objective diagnosis of early cancers according to pathology. With help from our industrial partner and clinical research team at the University, I will verify a Raman spectroscopic device that could improve diagnosis accuracy of early CRC at endosocpy. The technique expects to replace existing random biopsy procedures and benefit cancer patient care for Canadians. Our industrial partner, Verisante Technology, will utilize the knowledge to commercialize its early CRC detection products.

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Faculty Supervisor:

Dr. Haishan Zeng

Student:

Wenbo Wang

Partner:

Verisante Technology Inc.

Discipline:

Medicine

Sector:

Medical devices

University:

University of British Columbia

Program:

Accelerate

An Examination of Social Space in Rural Nova Scotian Municipalities

This research project will apply a theoretical analysis of social space in rural areas in Nova Scotia in order to examine how municipalities design space, and how citizens interact with and within it. Much of the existing literature in the field focuses on social space in urban areas, like populated downtown areas of cities. This project attempts to close a gap in the literature by examining rural space using its character, design, and history, in order to assess its impact on engagement in the community. This project fits perfectly with Colibri Software, as its technology has the potential to be of huge use to small municipalities hoping to get people interacting and engaged in public space. Using “mobile application technology” (apps), they can collect useful data for the research aspect of the project, while also helping municipalities interact with their citizens, and thereby creating avenues for them to improve their public space design, planning procedures, and development policies.

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Faculty Supervisor:

Dr. Andrew Biro

Student:

Emily Joelle Lutz

Partner:

Colibri Software

Discipline:

Political science

Sector:

Information and communications technologies

University:

Acadia University

Program:

Accelerate

The relationship of sleep quality to recovery, training capacity and performance in elite athletes

The Centre for Sleep and Human Performance has been funded by Own the Podium to develop tools. strategies. and Interventions that will accurately evaluate the sleep quality of athletes. This partnership provides the Centre with a unique opportunity to have unrestricted access to a population of elite athletes who train and compete above the Intercollegiate level and whose motives for training and performance are not confounded by the external stressors professional athletes are exposed to. The purpose of this project is to characterize the epidemiology of sleep behaviors in elite athletes and determine the clinical validity of the Athlete Sleep Screening Questionnaire (ASSQ) in order to more accurately assess sleep quality in this unique population. This information will be used to improve the management of athlete health and wellbeing and will serve as the only true comprehensive long term evaluation of sleep behaviors in elite athletes in the world.

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Faculty Supervisor:

Dr. Penny Werthner

Student:

Amy Bender

Partner:

Centre for Sleep and Human Performance

Discipline:

Kinesiology

Sector:

Sports and recreation

University:

University of Calgary

Program:

Accelerate

Automatic crack detection in stamped auto-parts

The objective of the project is to develop a non-destructive test protocol to accurately and reliably detect cracked, pre-welded automotive parts within the constraints of an industrial assembly cell. This will involve reviewing, developing and testing one or more test procedures based on vibration excitation of the part and the measurement and analysis of the response. In particular the work will focus on exploring existing potential test protocols, defining the capabilities of different sensors that could be used in the given environment (non-contact vibration transducers), developing appropriate vibration signal analysis algorithms for crack detection and decision making. The final result of the work will be a test protocol suitable for implementation in an actual assembly cell. The goal will be to achieve crack detection performance that is 100% accurate and reliable. Kirchhoff Van-Rob will benefit through participation and guidance of an investigation into the possibility of developing a new completely automated, accurate and reliable crack detection system. A successful system could be used in a wide range of applications where inspection is done manually. Reliable detection of cracked parts early in the manufacturing process will result in improved efficiency and improved customer satisfaction.

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Faculty Supervisor:

Dr. Chris Mechefske

Student:

Fei Geng

Partner:

Van-Rob Inc.

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

Queen's University

Program:

Accelerate

Development of a Novel Twin-screw Extruder for Resource Recovery and Renewable Energy Production from Lignocellulose Biomass and Industrial Organic Wastes

This project focuses on the conversion of renewable resources to fuels, and thereby trains and educates highly qualified and globally aware personnel. The research involves demo-scale testing and optimization at GreenField Ethanol, laboratory experimentation, simulation and modeling, and overall economic process evaluation. The experimental work will be complemented by numerical and analytical modeling. A mobile demonstration scale twin-screw extruder, funded separately and built by GFE, will be used for the pretreatment and solid/liquid separation of the various streams included in this study. Experimental data will be used to estimate drag coefficients from the existing configuration and used to calibrate a network of zones model of the sections in the TSE. These zone models will be calibrated on the existing configuration and then tested against alternate screw configurations to predict the pressure profile and resulting dewatering. The program presents an opportunity for synergy and collaboration between academia, municipalities and industry, which will enable intern to experience diverse research environment and to work in an interdisciplinary and diverse research team, as well as acquiring skills needed in industry such as project scheduling, resource management, report writing, and critical thinking.

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Faculty Supervisor:

Dr. Hesham El Naggar

Student:

Mohammad Niknami

Partner:

GreenField Ethanol Inc

Discipline:

Engineering - civil

Sector:

Alternative energy

University:

Western University

Program:

Accelerate

Identification of Blood Biomarkers for Diagnosis of Peripheral Arterial Disease

Persons with Peripheral Arterial Disease (PAD) and healthy individuals will be recruited for a study to identify novel blood biomarkers for the diagnosis of PAD. Participants will be matched for age and sex. They will have their Ankle Brachial Index (ABI) and pulse wave velocity (PWV) measured. They will then be asked to return to the clinic within two days to provide a fasting blood sample. The intern will conduct a literature review regarding potential biomarkers for PAD diagnosis and become familiar with the diagnostic capabilities and equipment developed by Koven Technology Canada. They will learn about potential approaches for developing a diagnostic kit (based on a panel of biomarkers) from both technical and marketing points of view. The intern will confirm the inclusion and exclusion criteria to distinguish persons with PAD from those who are healthy, and they will assist with obtaining the clinical samples. This research will serve as the basis for a subsequent study involving a comparative analysis of the blood samples by metabolomics to identify potential biomarkers. The intern will assist with the necessary correlation analysis for selecting compounds capable of serving as blood biomarkers for PAD.

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Faculty Supervisor:

Dr. Peter Zahradka

Student:

Youjia Du

Partner:

Koven Technology

Discipline:

Medicine

Sector:

Medical devices

University:

University of Manitoba

Program:

Accelerate

Risk Analysis and Efficiency Measurement of Protocols for Missing Children in Saskatchewan

We aim to use Saskatchewan’s data and current protocols to explore and identify the risk factors for the challenge of investigating cases of missing children. We will be using a variety of analytical methods in order to come up with a set of valuable recommendations for improving the process of investigating the cases of missing children.

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Faculty Supervisor:

Dr. Mahshid Atapour

Student:

Mehdi Ghasemi & TBD

Partner:

IRG Informatics

Discipline:

Finance

Sector:

Information and communications technologies

University:

University of Saskatchewan

Program:

Accelerate

Asian Aquaculture Feed Formulation Database

Asia is the most important global market for aquaculture feeds and an increasingly important consumer of Canadian agricultural commodities, know-how and technologies. Given the complexity of the field, feed manufacturers require robust and highly flexible tools that could assist them in the formulation of cost-effective feeds for major aquaculture species across their life cycle. Veridis Aquatic Technologies (VAT) is a Canadian corporation established in 2009 that developing a cutting-edge online production analysis and benchmarking platform (PisciMetrixTM) aimed at improving the productivity and profitability of commercial aquaculture operations. VET will partner with the University of Guelph’s Fish Nutrition Research Laboratory (UG-FNRL) to deliver a series of databases and tools as part of a joint effort called the “Asian Aquaculture Feed Formulation Databases (AAFFD)” project. This large project requires the contribution of four graduate students and post-doctoral fellows trained at the UG-FNRL and with expertise in the nutritive value of feed ingredients, aquaculture feed formulation and nutritional modeling. This project will make use of unique expertise of the UG-FNRL and allow VAT to expand the capabilities of its platform (PisciMetrixTM). 

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Faculty Supervisor:

Dr. Dominique Bureau

Student:

Patricio Saez, Christopher Powell, Afshin Gholami, Jamie Hooft

Partner:

Veridis Aquatic Technologies Inc.

Discipline:

Animal science

Sector:

Fisheries and wildlife

University:

University of Guelph

Program:

Accelerate

Monitoring Health of Underground Mining Equipment

The research will entail modeling of diesel engine emissions to correlate with varying states of diesel engine operations so as to determine normal operating parameters. Using machine learning techniques, develop methods to analyze, alert and report on abnormal operating conditions when the vehicle is monitored in real time. The research will provide an important first step towards the development of a predictive maintenance system for underground mining equipment.

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Faculty Supervisor:

Dr. Andrew Wong

Student:

Sepideh Seifzadeh

Partner:

Pattern Discovery Technologies

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Development of a Fuel Cell Test Protocol for defected GDL material and its statistical validation

This project aims to develop a standard that relates the loss of functionality in the porous transport layer (PTL) due to the presence of defects to the performance of a polymer electrolyte membrane fuel cell. This work attempts to screen defects in the PTL using previously developed testing protocols. Currently there are no existing protocols that specify when to reject defected PTL material from external suppliers. These results will help to avoid falsely rejecting material by developing such guidelines for a failure screening method based on experimental data. This will aid to reduce cost and time of the production process.

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Faculty Supervisor:

Dr. Walter Merida

Student:

Maximilian Schwager

Partner:

Mercedes-Benz Canada

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

University of British Columbia

Program:

Accelerate

Pre-Oxidation of a Refractory Sulphide Gold Ore in Alkaline Media

The Eldorado Gold Corp. has developed a method of treating a hard-to-process ore from a mine in China in order to increase their recovery of gold. While this process has proven to be effective, more research is needed on the exact method in which this technique works on a very small-scale and detailed basis. The research that will be undertaken involves testing a number of different types of ore and developing a set of conditions to optimize the rate and extent of breakdown of the rocks. It is hoped that this research will lead to more efficient consumption of chemicals in the process and ultimately a reduction of the amount of chemicals, energy, and time taken to process the ore. Also, by developing a framework of understanding for which this method works, it is possible that guidelines for the operation of the process can be established for new types of ore in the future, reducing the overall need for extensive testing and streamlining new research and development of treatment options for similar types of mined material.

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Faculty Supervisor:

David Dreisinger

Student:

Alan Rego

Partner:

Eldorado Gold

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

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