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

Plant level implementation of a model for real time tracking and control of composition changes to steel, slag and inclusions during ladle processing – Part 2

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions.
During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, establishing a model to describe ladle process is indeed a challenge. The author developed a model to predict the chemical composition changes in molten steel, slag, and evolution of inclusions in the ladle during Ca treatment. The result of calculations was found to agree well with industrial heat data. The objective is to calibrate the model for the ladle used in the KOBM stream at ArcelorMittal Dofasco.

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Faculty Supervisor:

Kenneth Coley

Student:

Yousef Tabatabaei

Partner:

ArcelorMittal

Discipline:

Engineering - other

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Formulation and Process Optimizations for the Manufacturing of Cannabinoid Nanoemulsions

Coming into force in October 2019, amendments to the Canadian Cannabis Regulations will introduce guidelines governing the legal production and sale of cannabis-infused extracts, edibles, beverages and topicals. These new products are at the forefront of the natural health product (NHP) and consumer packaged goods (CPG) industries, but challenges associated with their formulation, production and stability are quickly mounting. Cannabis extracts are poorly water-soluble, unstable towards light and heat, have poor oral bioavailability, and the complex regulatory landscape built for cannabis-infused products sets strict limits on excipients used to remedy these issues. Nanoemulsification has been adopted by the nutraceutical and pharmaceutical industries to overcome similar challenges with other lipophilic bioactive compounds. This project seeks to develop new nanoemulsion formulations designed for the encapsulation of cannabinoids. The data collected during the project will be used by Peak Processing Solutions to develop next-generation cannabis products with increased bioavailability, stability and consumer satisfaction.

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Faculty Supervisor:

John Trant

Student:

Abhinandan Banerjee

Partner:

Peak Processing Solutions

Discipline:

Biochemistry / Molecular biology

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

Non-Viral Approach to Immunotherapy with Engineered Polymers

A new therapy was developed in order to combat cancers by stimulating our immune system to fight agents the cancer cells in the body. The activated immune system is more efficient to fight the cancer cells than the common drugs, but stimulating the immune system is very expensive and labour-intensive with the currently developed protocols. This project will develop a cost-effective way to stimulate immune system to fight cancers. We will use advanced biomaterials and immune stimulatory genes in order to achieve this. Our proposal is mush less labour intensive then the current protocols to stimulate immune system. Successful completion of the project will reduce the burden of immune-therapy on healthcare system and make the treatment available to a large population of patients.

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Faculty Supervisor:

Hasan Uludag;Robert E Hayes

Student:

Samarwadee Plianwong;Daniel Nisaker

Partner:

RJH Biosciences Inc

Discipline:

Engineering - chemical / biological

Sector:

Pharmaceuticals

University:

University of Alberta

Program:

Accelerate

New Approaches to Mine Closure in Nunavik, Québec

Mine closure is the final stage of a mine’s lifecycle and can have complex social, economic, and cultural impacts on nearby communities. These impacts include population decline, reduced services, household stress, ecological change, and reduced access to land-based activities. These impacts become more likely when communities are not engaged with during the closure planning process. Glencore Raglan is attempting to mitigate these issues through the Raglan Mine Closure Sub-committee, which is made up of both company employees and community representatives from Salluit and Kangiqsujuaq. Their goal is to collaboratively develop a closure plan that meets community needs. Through the Mitacs Accelerate program, students from Memorial University of Newfoundland are working with this sub-committee to aid its progress by: (a) tracking and evaluating its work, and (b) conducting comparative analyses of mine closure plans and mine remediation sites from across Northern Canada to inform the development of Raglan’s closure plan. This project will contribute to knowledge about best practices for community engaged mine closure planning and will ensure that the next iteration of Raglan’s closure plan more effectively meets community needs and centres Inuit voices.

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Faculty Supervisor:

Arn Keeling

Student:

Miranda Monosky;Caitlynn Beckett

Partner:

Glencore Canada Corporation - Raglan Mine

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

Memorial University of Newfoundland

Program:

Accelerate

Antigen Tracking of the DPX-R9F immunotherapy using MRI – Part 2

IMV Inc. is developing injectable cancer immune therapy using the company’s DPXTM technology. DPX is a patented formulation that displays excellent tumor control and provides a long lasting and specific effect. The way by which this therapy exerts its effect is unclear but the translational team at IMV is determined to discover its mechanism of action and why their proprietary DPX technology delivers superior responses in comparison to other forms of injectable therapies. This project will aim to figure out, using preclinical models, how the DPX components are being transported within the immune system and which cells are responsible for this transport. The components will be labeled so that it can be tracked using magnetic resonance imaging (MRI) in the presence or absence of immune cells at the frontline of the immune system, like dendritic cells and macrophages. Figuring out where the components are going into the body and which cells are responsible for their transport will help decipher why DPX’s technology is so efficient. It will also help further develop IMV’s DPX and help Canadians through the development of good, efficient, cancer immune therapies.

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Faculty Supervisor:

Kimberly Brewer

Student:

Marie-Laurence Tremblay

Partner:

IMV Inc

Discipline:

Biology

Sector:

Pharmaceuticals

University:

Dalhousie University

Program:

Accelerate

Realizing Large-Scale Production of High-Quality Human Induced Pluripotent Stem Cells through a Systematic Investigation on the Characterization and Protocol Optimization of Single-Use, Scalable, Vertical-Wheel Bioreactors

For stem cell discoveries to translate into improved health solutions for Canadians, we must use engineering manufacturing practices to grow enough cells safely and efficiently. Pluripotent stem cells (PSCs) have the unique ability to transform into any cell in the body when subjected to specified environmental conditions. They are invaluable in studying disease and gene functions and can be differentiated for potential use in transplantation. This project will focus on optimizing expansion protocols to overcome the engineering challenges in moving from bench-scale static culture methods of growing PSCs to using commercial size bioreactors for efficient and economic production. The proposed work will combine fluid dynamic modeling to predict bioreactor operating conditions with systematic biologically testing to determine cell responses and optimal environments. Outcomes will put us closer to achieving our long-term goal of using stem cell technologies to help Canadians through genetic studies, drug testing, and organ transplantation.

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Faculty Supervisor:

Michael Kallos

Student:

Breanna Borys

Partner:

PBS Biotech

Discipline:

Engineering - biomedical

Sector:

Life sciences

University:

University of Calgary

Program:

Accelerate International

Development of Metallurgical Silicon Based Anode for High-Energy Lithium-ion Batteries

Lithium-ion (Li-ion) batteries are the dominant technology used to power today’s electric vehicles (EVs). However, current Li-ion batteries is reaching the bottleneck in the energy density, partially due to the limited capacity in the graphite anode (372 mAh g-1). In partnership with MGX Minerals Inc., Dr. Liu’s team at the University of British Columbia aims at developing a high-performance nanostructured Si anode for next-generation Li-ion batteries by using low-grade and large-abundant metallurgical Si as the starting material. The proposed project will develop a metal-assisted chemical etching to upgrade metallurgical Si into high-value nanostructured Si anode material, and innovate a hybrid organic-inorganic thin film by advanced molecular layer deposition technique to stabilize the solid-electrolyte interphase on Si anode The success of this project is expected to deliver nanostructured Si based anode with a specific capacity of 1,000 mAh g-1. This project will expand MGX’s business into Li-ion batteries, establish local supply chains for battery materials, and advance fundamental research in nanomaterials and surface/interface science.

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Faculty Supervisor:

Jian Liu

Student:

Yue Zhang

Partner:

MGX Minerals

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Program:

Accelerate

Semisynthetic Strategies for the Production of Cannabinoids from Cannabis Sativa

Although recreational and medicinal marijuana is legal in Canada regulations limit the content of certain cannabinoids, such as ?9-tetrahydrocannabinol (?9THC) in commercially grown strands. With close collaboration with our industrial partner Plantbiois Ltd., this research project will develop methods to produce ?9THC by synthetic conversion from highly abundant cannabinoids in unregulated, low THC strains. We will use this knowledge to also explore the synthesis of less abundant, but equally valuable cannabinoids, including cannabinol (CBN) and the ?9THC analogue ?8-tetrahydrocannabinol (?8THC). Once our laboratory scale technology is fine-tuned we will work with Plantbiosis Ltd. to develop a large scale protocols for use in an industrial setting.

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Faculty Supervisor:

Paul G Hayes

Student:

Dylan Webb

Partner:

Plantbiosis

Discipline:

Biochemistry / Molecular biology

Sector:

Agriculture

University:

University of Lethbridge

Program:

Accelerate

High Throughput Phenotyping of Spectrally-Optimized Plant Growth

Light is essential to plant growth and development. Despite being established in plant growth systems, current light systems on the market lack the ability to replicate key daily events such as dawn and dusk differences in light quality and intensity that occur naturally. Edmonton, Alberta based technology company G2V Optics Inc has commercialized a precision, programmable-spectra lighting technology aimed at reducing energy inputs for greenhouse food production. Collaboration between the Uhrig lab and G2V Optics successfully generated large amounts of data (e.g. time-lapse pictures of plant growth) that demonstrates the impacts of LED recipes on plant growth; however, translating this data into a cost effective tool for G2V Optics Inc customers (e.g. horticulturalists) has not yet been realized. The current project aims to (A) utilize previously acquired data to automate data acquisition, processing and output pipelines and (B) implement this pipeline with data acquired from G2V Optics newly designed 3D imaging and phenomics system that captures vertical plant growth and is of immense value to indoor plant growth systems.

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Faculty Supervisor:

Richard Glen Uhrig

Student:

Sabine Scandola

Partner:

G2V Optics

Discipline:

Biology

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Biodegradable fishing nets, prepared through a pH responsive moiety by reactive extrusion

Intern will significantly benefit in terms of knowledge generation and implementation from this research project by learning novel process to shape and modify biopolymer. After successful completion, the intern will learn process to scale up the product to real life application such as fishing line and nets. Plantee Bioplastics will be able to bring the modified product to market and capitalize on research done by the intern. This project has capacity to change the negative public perspective on plastics by bringing in market an improved fishing line and n

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Faculty Supervisor:

Marianna Kontopoulou

Student:

Praphulla Praphulla

Partner:

Plantee Bioplastics

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Summer-season streamflow prediction model for the Oldman River Basin

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. Streamflow predictions can also improve water use efficiency and provide early drought and flood warning. The importance of streamflow forecasting is rising with climate change, causing more frequent and hazardous flood and drought events. Current streamflow forecasts in the Oldman River Basin are uncertain, which poses a risk to irrigators, who rely on them to plan for the next irrigation season.
Our project aims to develop machine learning models for reliable summer-season and monthly streamflow predictions in the Oldman River Basin of Alberta. We will also study the risks associated with issuing predictions earlier in the year, up to three months ahead of the irrigation season. Reliable summer-season streamflow predictions in Alberta can help water managers and stakeholders make better-informed decisions on seasonal water allocation, flood and drought mitigation strategies, and environmental flow management.

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Faculty Supervisor:

Evan Davies

Student:

Amr Gharib

Partner:

Optimal solutions

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Data-driven modeling and uncertainty quantification in infrastructure science and engineering

Few centuries ago, building palaces and castles were based on past experiences and observations, hence, resulted in very inefficient designs with wall sometimes as thick as 1~2m. Today, computer modeling provides a low-cost way of predicating what may happen when engineering structures are subjected to different loads and conditions. We know that some loads are such as weight of the structure, however, others like wind can have a probabilistic nature. Considering all possible combinations of probabilistic loads or parameters demand many computer simulations which was not feasible before cloud computing. Combined with today’s availability of low-cost sensor such as thermostats and accelerometers, this project is set to investigate next generation of simulation tools that can account for probabilistic loads and sensor readings. This type of simulations can not only better quantify safety of a structure during the design phase, but also help to monitor health of structures and plan their required maintenance.

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Faculty Supervisor:

Reza Vaziri

Student:

Ehsan Haghighat

Partner:

Intelligent Simulation Technologies

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of British Columbia

Program:

Accelerate

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