Innovations 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

Designing for AI/ML Human Interactions in Industrial Condition Monitoring

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency of these technologies in industrial applications. The objective of the proposed internship projects is to develop evidence-based design recommendations to make automated decision aids more transparent to operators, with the ultimate goal of promoting adoption of, reliance on, and effective interaction with these tools. We will explore the effects of a variety of manipulations to the work context and information provided to operators. Each of these projects is paired with an intern with prior academic and/or professional experience in AI/ML technologies. Their proposed MITACS Accelerate internships present an excellent opportunity to develop both their technical skills and their appreciation for the promises for, and challenges facing, AI/ML-based aids in industry.

View Full Project Description
Faculty Supervisor:

Greg Jamieson;Ray Gosine

Student:

David Quispe;Trung Nguyen

Partner:

Ericsson Canada

Discipline:

Engineering - mechanical

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Microalgae for the production of plant specialized metabolites of interest – Industrial PDF Fellowship Revision

Algae-C is a company specialized in algal biomass production. It enables on-site production of algae for a wide variety of sectors (aquaculture, nutraceutical, cosmetic and biofuel). To date, many fuels, pharmaceuticals and cosmetic products are extracted from plants. These valuable plant natural products (PNPs) are often produced in low quantities in plants and extraction methods can be long and expensive. Thus, there is much interest in metabolic engineering for developing microbial platforms to produce specific PNPs. Microalgae are well-known systems for plant biology and genetic engineering and are interesting and suitable hosts for the reconstitution of complex plant pathways. Algae-C wishes to translate metabolic engineering research into industrial processes. This project aims to optimized microalgae platforms for the production of valuable PNPs. These ventures are motivated by consumer demand for products that are environmentally friendly, less expensive, and possess properties similar or superior with those generated by PNPs.

View Full Project Description
Faculty Supervisor:

Isabel Desgagné-Penix;Suzanne Budge

Student:

Manel Ghribi;Liyun Ye;Daris Pazhukkunnel Simon;Elisa Ines Fantino;Bharat Bhusan Majhi

Partner:

Algae-C

Discipline:

Biochemistry / Molecular biology

Sector:

Professional, scientific and technical services

University:

Program:

Artificial Intelligence to Prevent Service failure in Supply Chain

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets. This can be explained by unexpected deviations from the plan or systems that are not properly configured. Quite often it is too expensive to have planners continually track all situations in supply chain systems at a granular level to ensure that no deviations or configuration problems occur. We propose to develop a machine learning/artificial intelligence (AI) system that predicts service level failures a few weeks in advance and alerts the planners. It will help save organizations millions of dollars by preventing service failures and provide an optimal recourse action.

View Full Project Description
Faculty Supervisor:

Apurva Narayan

Student:

Pradeep Kumar Mahato

Partner:

Rich Products Of Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

University of British Columbia Okanagan

Program:

Accelerate

Quantitative Security Metrics in 5G Environment

The advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell how secure these new networks are especially for decision makers. Our preliminary studies show that existing security metrics are insufficient for 5G networks (as they are not designed so). We would like to thoroughly study the state-of-the art metrics and standards and propose new security metrics that are more suitable for 5G networks.

View Full Project Description
Faculty Supervisor:

Lianying Zhao

Student:

Shubham Chander

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Carleton University

Program:

Accelerate

Erosion studies of southern Ontario tills and St. Lawrence Valley marine clays and assessment of an extreme precipitation prediction approach

Quaternary glacial deposition has covered much of southern Ontario with tills and the Saint Lawrence Valley with marine fines. Rivers incised into these materials exhibit particular geomorphologic behavior. Civil engineering works built either in (e.g. dams, bridge piers, etc.), beside (linear infrastructure such as roads, railways, etc.) or across (e.g. bridges, etc.) such rivers must consider the erosion of these cohesive sediments. There is currently very little knowledge about the erosion of these materials. This leads to design challenges and long-term maintenance considerations for hydraulic, geotechnical, transportation and structural engineering projects that can result in increased lifecycle costs and the potential for failure due to unexpected erosion. The proposed research will develop the improved understanding required to assess and predict erosion processes of rivers in glacial tills and marine clays by characterizing the erosion process and determining the threshold and rate of erosion in laboratory experiments.

View Full Project Description
Faculty Supervisor:

Susan Gaskin;Alain Mailhot

Student:

Dorothy Yeats;Liliane Gonthier;Pradeebane Vaittinada Ayar

Partner:

WSP

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Program:

Accelerate

Experimental investigation of allowable engineering properties of regular and composite glulam columns

Structurlam Mass Timber Corporation (SMTC) is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company developed a new type of composite glulam as a structural element. Extensive experimental investigation in collaboration with Dr. Alam and Mr. Peng at UBCO revealed the future potential of this composite glulam column. The proposed research will extend the previous study by evaluating the engineering properties of each individual layer through experimental testing. Both the regular and composite glulam elements will be tested to understand and investigate the difference in behavior. This research will come up with the design values which can be used by the practicing engineers to design composite glulam column. The results of this study will have a significant effect on the development and application of this proprietary composite glulam element.

View Full Project Description
Faculty Supervisor:

Shahria Alam

Student:

Arman Chowdhury;Gayan Buddhika Illangakoon Illangakoon Pathiranage;Peng Zhang

Partner:

Structurlam Mass Timber Corporation

Discipline:

Engineering

Sector:

Manufacturing

University:

University of British Columbia Okanagan

Program:

Accelerate

Optimal Orientation of Projection Components for an Augmented Reality System

The requirements of this project would be to determine the optimal orientation of the display screens and visor with respect to the user’s eyes. In order to do this, the person undertaking this project will be required to gain an understanding of existing augmented reality systems, how they work, and how their application can be extrapolated to this heads-up display for firefighters. This project will challenge the user to research and determine the optimal method of performing the augmented reality task, and then determine how the screen-visor orientation should be designed.

View Full Project Description
Faculty Supervisor:

Rafael Kleiman

Student:

Ruslan Khabibrakhmanov

Partner:

Longan Vision

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Coupling the liquid pool and wellbore hydraulic module of the “Prediction and Optimization Software Package” – Part 3

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their GHG and also better evaluate their CAPEX. Many SAGD projects are overspent on their facilities due to under prediction or overprediction of their oil production expectations. this package will help operators to predict their expectations and improve their predictions as more inputs are provided such 4D seismic, temperature and pressure observation wells, production data, and geological characterization.

View Full Project Description
Faculty Supervisor:

Apostolos Kantzas

Student:

Farzad Bashtani

Partner:

Ashaw Energy

Discipline:

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Development of an Enhanced Ground Control Station Equipped with an Advanced Stand-Alone Virtual Reality Headset

The main purpose of this project is to develop an enhanced portable ground Control Station (GCS) equipped with an Advanced Stand-Alone Virtual Reality Head Mounted Display (ASVR-HMD). In the beginning, a Commercial-off-the-shelf (COTS) stand-alone Virtual Reality (VR) headset would be connected to the flight simulation tool. The VR HMD will be used to visualize basic flight simulation. Then, an onboard camera would be integrated to the aircraft provided by the partner organization. The VR HMD developed earlier will be used by pilots to accomplish actual flight testing of the proposed aircraft via real time video input enabling First-Person View (FPV) operation. Finally, the overall integration, improvement, expansion and testing will be accomplished. Herein, the main focus will be towards combining the view from actual flight test to simulated flight test by providing the necessary symbology and data for the pilot to better understand the aircraft performance and operations for validation.

View Full Project Description
Faculty Supervisor:

Joon Chung

Student:

Mohsen Rostami

Partner:

Columbiad Launch Services

Discipline:

Aerospace studies

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Accelerate

Investigation of the solubility and tissue distribution of cannabinoids

Delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD), two main phytocannabinoids from cannabis, have demonstrated biological effects and potential therapeutic uses. However, their functionality when consumed orally could be limited due to poor water solubility and low utilization rate in human body. To make the cannabinoids more soluble, liquid formulations are being developed using food-grade oils and/or phytoglycogen, a natural compound from non-GMO sweet corn. Furthermore, the tissue distribution of orally ingested cannabinoids is still unclear, so it will be evaluated in this project using an animal model. These formulations can improve the incorporation of cannabinoids in edible applications, and the understanding of cannabinoid tissue distribution will help developing medicinal products that are safer and more efficient.

View Full Project Description
Faculty Supervisor:

David Ma;Amanda Wright;Michael Rogers;Linda Parker

Student:

Xinjie Lin

Partner:

Mirexus

Discipline:

Food science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Investigation of Low-Ductility Geogrid Reinforcement for Ground-supported Concrete Structures

Steel rebars are the dominant reinforcement elements in reinforced concrete structures due to their relatively adequate manufacturing, material property and established construction codes. In an ideal environment and under nominal loading, conventional concrete reinforcement is expected to govern the design strength based on which they are designed. However, under environmental loading conditions, such as very low or very high temperature, deterioration of the steel reinforcement is accelerated and lead to significant structural, economic and environmental losses. In Canada, especially the north, steel reinforcement deteriorates due to the above mentioned reasons and an alternative is motivated. Recently, geogrid material is proposed to replace conventional reinforcement for various structural and nonstructural elements. While the latter possess undesirable effects on concrete structure behavior, new geogrid material, ConForce Grid, poses solutions to the common geogrid problems and has the potential to act as adequate reinforcement for structures prone to abnormal environmental conditions. The research work aims at understanding ConForce Grid under standard and environmentally influenced conditions. The research work also aims at creating useful results for the proposed structural elements.

View Full Project Description
Faculty Supervisor:

Mohamed Meguid

Student:

Mohamed Shokr

Partner:

Titan Environmental Containment

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

A study on soil-pipe interaction: effects of slope grade

Transmission pipelines are the most popular and widely used medium to transport hydrocarbons (e.g., oil and gas) over long distances. Pipelines might pass through various geological and topographic conditions and therefore, pipeline routing is a critical component for successful design and regulatory approval. Due to the environmental and safety concerns or constraints imposed by the land use, pipeline routing often requires designers to allow for crossing adverse ground, e.g. steep slopes, valleys and faults. If a pipeline crosses along or across a slope, it might experience/trigger a landslide and therefore, pipelines need to be properly designed against such slope stability issue. Although a number of research has been conducted on pipesoil interaction in the past, none of them focused on the effect of slope grade on the pipe-soil interaction loading. This research will address the design issues related to the inclined ground surface and thereby, significantly improve the safety of current pipeline design practice.

View Full Project Description
Faculty Supervisor:

Pooneh Maghoul

Student:

Mohammad Katebi

Partner:

Northern Crescent

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Previous
1…167168169170171172173…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe