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

Identifying and Quantifying Analytes in Real Life Environments with Chemical Noise

Developing smart technology determines the future economy of societies nowadays. Electronic nose is a device that audits the chemicals and transforms it to human odor perception. One of the most challenging steps to transform electronic nose to smart nose is its patter recognition machinery, because electronic nose data are imprecise and noisy. This pattern recognition machinery builds an empirical statistical model using machine learning algorithms over electronic nose data, to transform the these data to human odour perception. This project is one of the first steps in building such algorithms.

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Faculty Supervisor:

Andrea Lodi

Student:

Mina Mirshahi

Partner:

Stratuscent Inc

Discipline:

Mathematics

Sector:

Environmental industry

University:

Program:

Accelerate

Validation of Off-gassing method and Development of Repeatability and Reproducibility of Data for the Iso-thermal Calorimetry (for ISO Standard development)

The key objective of this research is to validate the methodology for measurement of off-gassing from storage of wood pellets as well as development of data on heat generation from wood pellets. Canada is one of the main producer and exporter of wood pellets. 90% of this production belongs to British Columbia. Thus development of ISO standards on off-gassing and self-heating of wood pellets are critical. The rate of off-gassing for a particular biomass traded as commercial products is required to be declared in the MSDS for the product.

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Faculty Supervisor:

Shahab Sokhansanj

Student:

Fahimeh Yazdanpanah

Partner:

Wood Pellet Association of Canada

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Accelerate

Effects of various compounds on central nervous system neurons as potential therapeutics against epilepsy

Xenon has developed isoform selective blockers of the sodium channels that are expressed in CNS neurons with the intent of developing them for therapeutic use, especially epilepsy. The primary goal of this research project is to determine the activity of compounds on CNS neurons. Until now, all characterization has been done with heterologously expressed channels. Until recently, a major impediment to such studies is the heterogenous nature of CNS neurons, so that a large number of studies need to be conducted for a complete characterization. Xenon has implemented a 384 well automated voltage-clamp that is well suited to such studies. The instrument is capable of both current- and voltage-clamp studies at physiological temperature. The objective of this internship will be to use automated voltage-clamp to characterize the pharmacology of appropriate CNS neurons.

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Faculty Supervisor:

Peter Ruben

Student:

Mohammad-Reza Ghovanloo

Partner:

Xenon Pharmaceuticals Inc

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

An Integrated Mobile Communication Environment for Healthcare Professionals and Patients: Analysis, Prediction and Recommendation

Think Tank Innovations Ltd is a company active in the healthcare domain. The company is interested in expanding their current working system Sharesmart application by benefiting from advanced technology to develop an integrated environment for healthcare solutions in order to better service a wider community locally and globally. Students to be involved in this project will build a data repository to host data to be collected, cleaned, built, integrated and processed for knowledge discovery which will guide more focused decision making. A Web-based and a mobile app multilingual communication platform will be developed to help in connecting a variety of data sources and domains. The target is to maintain patient privacy by enforcing security in communication. Intelligent data processing and analysis techniques will be employed to benefit the best from data. This includes behavior analysis, trend prediction, etc.

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Faculty Supervisor:

Jon Rokne

Student:

Coskun Sahin

Partner:

Think Tank Innovations Ltd

Discipline:

Computer science

Sector:

Medical devices

University:

Program:

Accelerate

LiDAR derived wood quality attributes across the landscape

The proposed research will create value added models that will be used to predict wood quality attributes (wood density and fibre dimensions) on the landscape within Ontario’s boreal forest. This will be achieved by modeling stem and stand attributes from airborne laser scanner data (LiDAR). The derived stems and stand attributes (such as tree height, diameter, crown length, and stocking) will be used as predictors of inherent wood quality attributes (Fibre dimensions and wood density). This set of predicted models will benefit the partnering organization by providing them a value-added field or service for use in their forest inventory and other products.

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Faculty Supervisor:

Mathew Leitch

Student:

Cole Wear

Partner:

KBM Forestry Consultants Inc.

Discipline:

Resources and environmental management

Sector:

Forestry

University:

Lakehead University

Program:

Accelerate

Development of innovative thermal efficient steel studs – Part 2

With the growing demand for energy efficient buildings, conventional steel wall studs are no longer an appropriate choice for exterior walls. Conventional steel studs cause an inordinately high degree of thermal bridging which lowers the energy efficiency of the building. To address this concern, Structa Wire Corporation started the development of an innovative steel stud that replaces the solid steel web in the conventional steel stud with welded wires. The newly proposed steel stud shows promising energy efficiency, by demonstrating a significant reduction in thermal bridging. Recent experimental testing also shows this innovation has a high structural performance. In this research, an intern from UBC will work closely with Structa Wire Corporation to develop a computer model which is compared with experimental data. The developed finite element model will be used to optimize the design and conduct certification tests to ensure the developed stud meets the applicable industry standard.

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Faculty Supervisor:

Tony Yang

Student:

Lisa Tobber

Partner:

Structa Wire Corp

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

Program:

Accelerate

Experimental investigation of regular and composite glulam columns under flexural and axial compression load

Structurlam products Ltd is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company developed a new generation hybrid composite glulam structural element while the performance is still unknown. The proposed research here will investigate the performance of this element under bending and compression. Both the regular glulam element and the hybrid composite glulam elements will be experimentally tested, and their performances will be mutually compared in terms of their loading capacity, deformation capacity, and failure modes. This research will also provide adequate design guidelines to structural engineers so that they can safely use this product as a beam or column element in structures. The results of this study will have a significant effect on the development and application of this hybrid glulam element.

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Faculty Supervisor:

Shahria Alam

Student:

Peng Zhang

Partner:

Structurlam Products Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

Program:

Accelerate

Optimization of Novel Microparticle and Nanoparticle-Based Controlled Release Formulations for Agriculture

Increasing the productivity of agricultural fields is essential to secure our existing food supplies and provide for the growing world population. In this context, pesticides and fertilizers play an essential role in both increasing crop yields, as well as enhancing crop defenses against environmental stresses such as drought, pests, or diseases. However, the application of existing chemical pesticides and fertilizers can lead to potential downstream environmental issues. Instead, Suncor has recently developed a new category of plant immune aids which activate a plant’s native immune system to induce a range of beneficial responses, including greater resistance to both pest-based and weather-based environmental stresses. Through this collaboration with Dr. Todd Hoare’s lab at McMaster, these immune response triggers will be formulated into nano/microparticle-based controlled release vehicles with well-defined properties to enable improved retention in the soil and higher effectiveness at lower applied doses, reducing product cost to facilitate commercialization.

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Faculty Supervisor:

Todd Hoare

Student:

Vitaliy Kapishon

Partner:

Suncor Energy Inc.

Discipline:

Engineering - chemical / biological

Sector:

Agriculture

University:

Program:

Accelerate

Data supervision and security in large data repositories

Ensuring data security in large data repositories is a challenging task as the volume and the nature of the data to secure constantly evolves. Large repositories are mostly composed of documents expressed in natural language and as a result they are a rich source of information. Given the importance of personal data protection, this proposal explores new methods to mine networks of communications between users and detect improper dissemination of sensitive information. Our objectives are i) to develop algorithms to automatically identify sensitive information from a document content; ii) understand how information is exchanged in an organization by exploiting communication links between users, and iii) develop automated approaches to prevent undesired dissemination of information.

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Faculty Supervisor:

Marie-Jean Meurs

Student:

Antoine Briand

Partner:

Netmail Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Novel Cell-surface Engineering Methods to Increase Immune-tolerance of Allogenic Cell Transplantation

Blood transfusion is required for surgery, for the treatment of traumatic accidents and for patients with disorders that require lifelong transfusion therapy. However, when patients receive “mismatched” blood transfusion, their immune system will attack and destroy red blood cells with surface sugars and proteins that differ from their own. This results in massive immune responses in patients, causing shock and even death. In this study, we will use a specialized machinery protein called enzyme to “glue” globular hyperbranched polyglycerol (HPG) polymers to the surface of red blood cells to mask the surface sugars and proteins to generate universal donor red blood cells. This study will make the blood transfusion much safer and help solve the shortage of blood supply worldwide by creating red blood cells that can be transfused to people regardless of their blood types, which are the founding objectives of Canadian Blood Services.

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Faculty Supervisor:

Jayachandran Kizhakkedathu

Student:

Haisle Moon

Partner:

Canadian Blood Services

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Achieving quality control during veneer drying by using big data statistics

Veneer drying has traditionally been done using a qualitative approach. Although it is effective in assessing how any modification in parameters impacts veneer quality, it often yields a significant loss in quality due to delays involved in reaching the kiln’s steady state following parameter modification. However, kilns are now being equipped with various sensors that allow the tracking of many parameters related to both the kiln and the veneers. The research objective is to link raw material characteristics with the veneer drying process. The intern will use big data statistics to identify what process parameter have the most impact on product quality and how those significant parameters should be controlled. TO BE CONT’D

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Faculty Supervisor:

Julie Cool

Student:

Suborna Shekhor Ahmed

Partner:

Coastland Wood Industries Ltd

Discipline:

Forestry

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Evaluation and Identification of Gaps and Technical Challenges in Candidate Carbon Capture/CO2 Conversion Technologies Part 2

In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab scale. Unfortunately, the technology developers often lack next-step projects and connections with industrial end-users to allow the technology to advance and become commercialized. CMC is committed to accelerating innovations associated with industrial greenhouse gas emissions. The overall approach is to focus on rapid and cost-effective reduction of uncertainties to enable earlier decision making. This project will focus on working with technology developers to identify critical limiting uncertainties and develop pathways to address them, including through integration, adaptation, application development, pilot testing, and scale-up projects.

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Faculty Supervisor:

George Shimizu

Student:

Roger Mah

Partner:

CMC Research Institutes Inc.

Discipline:

Chemistry

Sector:

Energy

University:

Program:

Accelerate

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