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

Safe and Low-cost Robot Grasping through Impedance Control and Deep Learning

Grasping skill is significant in modern service robot that requires interaction with object under manipulation. Grasping of a new object is a trivial task for human operator while it is challenging for robot manipulators. Inspired by the grasping process of human operators, grasping control algorithms based on the integration of vision, tactile sensing. Deep learning, as an emerging technique successfully applied in many areas will be utilized to combining the advantages of both vision and tactile sensing. To guarantee the safe interaction between the robot manipulator and object, a robust interaction control scheme-impedance control will be applied. Force sensor is required in impedance control to detect the interaction force. To make the whole system affordable, the interaction force conventionally sensed by force sensor will be reconstructed by software observers.

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Faculty Supervisor:

Haoxiang Lang

Student:

Yanjun Wang;Abdulrahman Al-shanoon

Partner:

Senturing Technologies Ltd

Discipline:

Engineering - mechanical

Sector:

University:

University of Ontario Institute of Technology

Program:

Accelerate

Delegation of Trust to Consumer Devices in Banking Applications

Trust lies at the very foundations of computer and information security, and is the basis for real-world schemes that require security properties, such as those that underlie consumer banking. Under this research project, we will investigate models for delegation of trust that meet desirable properties, for example, that guarantee that no security compromises occur unless certain trust assumptions are violated. We will also build a software prototype that integrates an appropriate delegation model that we devise with features on a consumer device, such as a fingerprint sensor on a mobile phone. The intent is to demonstrate, in practice, that such features in consumer devices can be securely leveraged in banking applications. This, in turn, gives new capabilities for our industry partner, BMO, to provide Canadian consumers with superior banking services, while maintaining security properties.

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Faculty Supervisor:

Mahesh Tripunitara

Student:

Boyun Zhang;Qiang Guo

Partner:

Bank of Montreal

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Waterloo

Program:

Accelerate

Quantifying the spatial distribution of soil nutrient movement at the field scale

Our proposed research is to measure soil erosion and runoff in the field and use it to calibrate water runoff models. The approach is twofold: a) Use of field data for to determine runoff rates and nutrient loading and b) use high resolution non-destructive methods to monitor water runoff after a precipitation event through unmanned aerial vehicles (UAV). In this way, data will help to adjust current runoff simulation models, and predict real-life scenarios. These models will accurately portray the effect of conventional agricultural practices in soil architecture and runoff water quality.

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Faculty Supervisor:

Derek Robinson

Student:

Maria Angelica Ouellette;Erin Menzies Pluer

Partner:

Ontario Crop and Soil Improvement Association

Discipline:

Agriculture

Sector:

Agriculture

University:

University of Waterloo

Program:

Accelerate

Supercritical Fluid Extraction of Cannabis for processing into various forms

Avana Canada Inc. is undertaking the development of a supercritical fluid extraction (SFE) unit within its GMP facility for cannabis processing. Cannabis has been used for medicinal purpose for a long time. SFE is currently the best technology for bioactive components extraction. By carefully changing the operational parameters, the solvent strength can provide selectivity to the extraction process, thus adjusting potency of the extract product. Meanwhile, the composition of the raw plant materials, pretreatment of raw materials, and co-solvent addition strategy, separation conditions after extraction, play important role. Parameters mentioned above will be investigated systematically, to identify the best operational parameters for various final products. The industrial partner will gain economic and technical benefits through the establishment of an SFE unit within a GMP facility for cannabis processing, and a technology set on cannabis SFE. The Canadian cannabis industry can benefit from this research through the publication of this work.

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Faculty Supervisor:

Yonghao Ni

Student:

Bo Yang

Partner:

Avana Canada Inc.

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of New Brunswick

Program:

Accelerate

Enhancing steady state processing of plant based ingredients for the food industry

In partnership with KeyLeaf (KL), Saskatchewan Polytechnic (SP) is developing a system for the bioprocessing industry that will interface through a mobile app, collect data on a NoSQL database, and use analytics to mine it for new insights into all processing aspects. The Engage phase of the project will commence in tandem with a MITACS grant of the same scope, involving building the database (DB) and user interface, determining how to best structure the data for analysis, designing the analytic algorithms, then testing the system and prepping for the next phase. This will produce a faster bioprocessing system for KL capable of identifying areas in its own processes that can be improved, thus increasing product quality. SP will benefit from knowledge exchange with KL and plant-based ingredient processing techniques will be fine-tuned.

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Faculty Supervisor:

Kevin Rogers;Terry Peckham;Cyril Coupal

Student:

Will Crasto;Brett Hickie

Partner:

KeyLeaf

Discipline:

Computer science

Sector:

Agriculture

University:

Saskatchewan Polytechnic

Program:

Accelerate

Feasibility Study to Determine the Application of Unmanned Aerial Vehicle for Aircraft Inspection

This project assesses the feasibility of using drones to inspect aircraft for surface damage and defects such cracks, fractures or dents. The intern will first carryout a comprehensive literature review and environmental scan of the existing technology. He will then assist in developing and conducting a series of physical tests to determine the best camera parameters, drone flight pattern, image format and proximity sensor performance. The results of these tests will be used to program a commercially available drone to carryout an automated image acquisition flight. The images will then be used to generate an accurate 3D model of the surface condition of the aircraft which will be automatically analyzed for defects.
The overall goal of the project is to develop drone-based aircraft inspection standards of practice which will improve defect detection, safety and inspection efficiency.

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Faculty Supervisor:

Eric Saczuk;Sanja Boskovic

Student:

Aaron Rooke

Partner:

Spexi Geospatial

Discipline:

Environmental sciences

Sector:

University:

British Columbia Institute of Technology

Program:

Accelerate

Determination and characterization of plant fungi in greenhouse bell peppers

Bell pepper (Capsicum annum L.) is one of the most profitable greenhouse vegetable crops in Canada. Over 12 million square feet of greenhouse has been established to cultivate bell peppers in British Columbia alone. In this project, Randhawa Farms Ltd. and University of British Columbia aim to collectively determine and characterization of fungal species in greenhouse bell peppers harvested in different places in Canada. Specifically, the fungal communities of bell peppers will be determined using amplicon-metagenomic analysis. In addition, a rapid and sensitive method for the detection of fungal species in bell peppers will be developed. This project can benefit in controlling fungal quality, increasing the yield and shelf life of produce, as well as improving the overall sustainability of greenhouses in BC and other provinces in Canada.

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Faculty Supervisor:

Xiaonan Lu;Michael Deyholos

Student:

Lixue Liu

Partner:

Randhawa Farms Ltd

Discipline:

Food science

Sector:

Agriculture

University:

Program:

Accelerate

Advanced Nystagmus System (ANSTM) as objective diagnostic tool for mild traumatic brain injury (mTBI) and concussion: A validation study using structural and functional magnetic resonance imaging

Annually, 2 million individuals in North America suffer mild traumatic brain injury (mTBI) or concussion (cost: $75 billion), with 200,000 in Canada. An objective tool is required to distinguish concussed subjects acutely from ontrols, and to predict who will develop chronic symptoms. The frontal lobes, the corpus callosum, and the thalamus play key roles in oculomotor movement and are sensitive to mTBI. Saccade Analytics (ANSTM) offers a quantitative and automated analysis of eye and head coordination; it will be tested to identify damage in mTBI. The intern will validate results using functional and structural MRI protocols sensitive to mTBI. The benefits to Saccade Analytics are: 1) improved metrics; 2) alternative data from the same subjects; 3) database for sharing, storing and executables on the cloud; 4) interest from venture capital; 5) 4 hires to refine metrics; 6) Health Canada and FDA approval; 7) expansion to concussion clinics and sports teams.

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Faculty Supervisor:

Alain Ptito

Student:

Guido Guberman

Partner:

Saccade Analytics

Discipline:

Medicine

Sector:

University:

McGill University

Program:

Accelerate

The Epidemiology of Fabry Disease and Metabolic Acidosis in Manitoba

The proposed project is for the postdoctoral fellow to access healthcare data for individual adults in the province of Manitoba in order to: 1) determine the rates of metabolic acidosis in Manitoba along with associated outcomes and risk factor profiles and 2) identify patients in Manitoba who are at high risk of Fabry disease but currently undiagnosed in order to facilitate disease screening and improve patient care. The postdoctoral fellow will use their statistical and programming expertise to link various datasets of physician visits, hospitalizations, laboratory results and drug prescriptions via a scrambled patient health number that is tied to a unique patient but unidentifiable to any researcher so to protect privacy. The postdoctoral fellow will conduct statistical analyses and then will compile their results into several reports complete with text, tables and figures to be presented to our clients. They will also create manuscripts based on their reports that will be suitable for publication in an academic medical journal. This project will help the partner (CDIC) understand the epidemiology of important chronic diseases, provide synergies with ongoing clinical trials conducted at CDIC, and will help establish CDIC as a capable research partner within the pharmaceutical industry.

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Faculty Supervisor:

Paul Komenda

Student:

Mohammad Nourohammadi

Partner:

Seven Oaks Chronic Disease Innovation Centre Inc

Discipline:

Epidemiology / Public health and policy

Sector:

University:

University of Manitoba

Program:

Elevate

An Integrated Interface for a Mixed Reality Based Medical Education System

How to build a medical education ecosystem and improve the learning outcome? Currently a medical education system based on mixed reality is missing and bad user interfaces can leave students confused and struggling instead of learning efficiently. The goal of this project is to leverage mixed reality technology, develop a medical education system, and make it easy to use. An interactive system with an integrated interface will be created, enabling real object recognition, responsive information assistance, and coordinated collaboration between users across platforms with a consistent and intuitive educational experience. This system enables users to interact with three-dimensional virtual objects in the physical world, and collaborate cross platforms of mixed reality devices, virtual reality devices, mobile devices, laptops, and desktop computers. Therefore, the complex medical concepts and deeper human structures will be seen, studied, discussed, and shared beyond the limitation of time and location, and medical students and health professionals in many areas will benefit from the system. The improvement of interfaces will greatly enhance the usability, facilitate seamless integration of mixed reality into medical education ecosystem, and accelerate mixed reality technology and innovative devices to be widely used in medical education and various fields

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Faculty Supervisor:

Claudia Krebs

Student:

Pu (Cynthia) Liu

Partner:

Microsoft Canada

Discipline:

Medicine

Sector:

Information and cultural industries

University:

University of British Columbia

Program:

Elevate

Trace Element & Nutrient Retention and Release from Ontario Greenhouse Retention Ponds

Tributaries adjacent to greenhouse operations in Leamington, Ontario were found in 2012 to have elevated levels of phosphorus. The objective of this research is to identify the source of elevated nutrients in greenhouse ponds by collecting water and sediment samples over the course of 2 years. These samples will be analyzed to find linkages between nutrients found within the ponds and the surrounding environment. We will be able to draw conclusions on which ponds are behaving as a source for phosphorus, and which ones a sink, as well as whether the elevated concentrations are from ongoing contributions or from a saturation of the sediment. The relevance for the partnership will be an understanding as to why some ponds are not meeting ministry standards for nutrient concentrations and steps they can take to correct the issues. These methods could be applied on a larger scale to address eutrophication of Lake Erie.

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Faculty Supervisor:

Christopher Weisener;Scott Mundle

Student:

Emily Varga

Partner:

Ontario Greenhouse Vegetable Growers

Discipline:

Environmental sciences

Sector:

Agriculture

University:

University of Windsor

Program:

Accelerate

The Safety, Efficacy, and Tolerability of Microbial Ecosystem Therapeutic-2 in People with Major Depression and/or Generalized Anxiety Disorder

The gut-brain axis is being heavily explored in current neuropsychiatric research. Evidence has shown considerable individual variability in bacterial content of the gut microbiota, which is hypothesized to influence brain function. Preclinical and clinical research examining this relationship suggests that fecal microbiota transplant (FMT) may aid in improving depression and anxiety symptoms by recolonizing the gastrointestinal tract with healthy bacteria. The objective of this study is to examine the effects of a microbial therapeutic composed of various strains of gut bacteria from a healthy donor as an alternative to FMT on mood and anxiety symptoms. Treatment-naïve adults diagnosed with major depressive disorder or generalized anxiety disorder will orally consume once daily an encapsulated microbial therapeutic, containing various strains of bacteria purified and lab-grown from a single healthy donor stool, for 8 weeks. TO BE CONT’D

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Faculty Supervisor:

Roumen Milev

Student:

Arthi Chinna Meyyappan

Partner:

NuBiyota Canada

Discipline:

Psychology

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

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