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

Low-cost Portable Impedance-based Biosensor for Tuberculosis Test

Tuberculosis (TB) is one of the deadly diseases in low- and mid-income countries. Currently, X-ray and TB culture tests are standard tests, but they suffer from various limitations. For instance, an X-ray requires large & expensive equipment while TB culture test takes a long time. As sensor technologies get more advanced, portable and low-cost diagnosis TB test assays become more desirable. Our proposed palm-size device required a urine sample of 40 mL, and it takes 20 to 30 minutes to obtain results. The battery-powered device is ease-of-use and costs less than $2 for each test. Such devices can be very beneficial to patients, especially those who live in Africa.

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Faculty Supervisor:

Jie Chen

Student:

Oleksandra Savchenko

Partner:

Hidaca Inc.

Discipline:

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Microfluidic-based Detection of Chlorine for Future Early Warning of Water Quality Deterioration in Distribution System

Quality of drinking water is important to our health and well-being. Water quality monitoring outside the laboratory aims to obtain qualitative information on the physical, chemical, and biological characteristics of a water body. The traditional method of taking samples periodically is not only a cost intensive process, but one that takes snap shots only, with big unobserved periods in between. Our long-term aim is to design a cost-effective and scalable solution for water quality monitoring within the network and at point-of-consumption like main connection to consumer location, to detect quality deterioration through trending. As part of our aim, research in this internship will be conducted to investigate a reagent-free, economical and robust sensing method for free chlorine using microfluidics. A microfluidic double-bridge sensor for free chlorine detection within the range of less than 10 ppm will be developed. Sensor parameters and optimization will be investigated and the effects of bridge diameter, channel width and distance between bridges on sensor sensitivity and limit of detection will be evaluated. Finally, a field study will be done and the critical parameters for integrating the sensor into the measurement module will be determined.

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Faculty Supervisor:

Pouya Rezai

Student:

Ali Doostmohammadi

Partner:

Hwael

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Link Prediction on Knowledge Graphs with Graph Neural Networks

Knowledge graphs store facts using relations between pairs of entities. In this work, we address the question of link prediction in knowledge graphs. Our general approach broadly follows neighborhood aggregation schemes such as that of Graph Convolutional Networks (GCN), which in turn was motivated by spectral graph convolutions. Our proposed model will aggregate information from neighbour entities and relations. Contrary to most existing knowledge graph completion methods, our model is expected to work in the inductive setting: Predicting relations for entities not seen during training.

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Faculty Supervisor:

David Poole

Student:

Bahare Fatemi

Partner:

Element AI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Real-Time Flood Forecasts using Parallel Cloud Computing and Intelligent Algorithms

This research project will develop a state-of-the-art web-based Decision Support System (DSS) for operational forecasting and visualization of flood extents (via interactive maps and plots) in watersheds in Ontario and across Canada. The proposed DSS, called ISWMS-Smart, is an extension of the ISWMSTM system, developed by the GREENLAND Group (Industry Partner). ISWMS-Smart will efficiently generate accurate short-term flood forecasts by i) using Environment Canada’s open weather forecast data as input, and ii) feeding this weather data into sophisticated hydrologic and hydraulic models. These sophisticated models would then run on supercomputers to quickly generate and visualize flood forecasts for early flood warning and mitigation. Given the rise in extreme events due to Climate Change, the envisioned ISWMS-Smart is a valuable flood warning tool that may be used by GREENLAND to provide timely and accurate flood forecast information services to relevant governments and decision makers in Canada and across the globe.

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Faculty Supervisor:

Prasad Daggupati

Student:

Taimoor Akhtar

Partner:

Greenland International Consulting

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Evaluation and Improvement of High Voltage Module (HVM) of X-ray Generator

The motivation for this research comes from an overall need to improve the performance of high voltage module (HVM) and to reduce the size and its material costs while maintaining its efficient performance, with no partial discharge, arc or thermal issues. In particular, stable transient and steady state performances must be achieved for medical X-generators under wide load variation, ranging from 40-150 kV output voltage and 0.1-1000 mA output current to obtain defect free images. The desired HV module will combine the optimum cost-effective design with compactness. Therefore, the design must consider eliminating any high electric field and high temperature points in the system that lead to partial discharge and failures. Another concern about the module is its behavior under severe transient load conditions, which can happen when there is an arc in the X-ray tube. Understanding the induced voltage from the field in such a scenario is necessary to improve the design of the module. Additionally, uneven voltage distribution along the diode chains in the voltage multiplier will be a concern due to the parasitic capacitances under high frequency and high voltage conditions. Therefore, the proposed work will address the design improvements of the HVM of X-ray generators.

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Faculty Supervisor:

Sheshakamal Jayaram

Student:

Alireza Naeini

Partner:

Communications and Power Industries Canada Inc

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Waterloo

Program:

Elevate

Fostering Indigenous Small-scale fisheries for Health, Economy and food Security in Cree communities of northern Quebec (FISHES)

Northern fisheries are facing major changes and reducing the negative impacts is crucial for communities tied to the fisheries for their food security and culture. The identification of regions important for subsistence, commercial and recreational harvesting and whether they comprise genetically distinct groups of populations is a key requirement for adaptive co?management of harvest. Our team is comprised of researchers and Indigenous collaborators that combine the expertise for implementing knowledge at the interface between genomics and fisheries management. In this component of a recently funded Genome Canada LSARP, we will define genetically distinct populations in three of the most important species for the Cree (in terms of subsistence and tourism) (Brook Trout, Walleye, Lake Trout), quantify the contributions to mixed?stock harvests in two species (Brook Trout, Walleye), and assess the genomic impact of overharvesting in Walleye in southern Mistassini Lake. Through partnered research with the Cree, we will co?produce evidence to foster sustainable fisheries, food security, and social well?being. Our research will also support the development of sustainable fisheries in Cree territories and environmental protection for key fish species of Cree fisheries.

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Faculty Supervisor:

Dylan Fraser

Student:

Hyung-Bae Jeon

Partner:

Niskamoon Corporation

Discipline:

Biology

Sector:

University:

Concordia University

Program:

Accelerate

New therapeutics against T-cell acute lymphoblastic leukemia

A protein named c-Myc is causally implicated in over 50% of all human cancers. Preliminary work supports two proteins (POZ domain protein and c-Myc cofactor Miz-1) as a new drug target to disable c-Myc function. We have identified small molecules which act on this target and will now serve develop a series of optimized and effective molecules as cancer therapeutics.
To optimize these molecules, a combination of computational design and medicinal chemistry (synthesis and biological evaluation) will be carried out. Molecules that demonstrate high potency will be tested for chemical properties such as solubility in water (ie plasma) and for biological effects such as the effect of cell lines. The best compounds will then be scaled up, formulated, tested for required properties (e.g., toxicity, metabolism) and then in vivo. The results of the biological assays will guide the design and synthesis of molecules with improved potency, efficacy and pharmaceutical profile.

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Faculty Supervisor:

Nicolas Moitessier

Student:

Mihai Burai Patrascu;Jessica Plescia

Partner:

AmorChem

Discipline:

Chemistry

Sector:

University:

McGill University

Program:

Accelerate

Narrowing the Gap Between Software Requirements and Tests

Safety critical software systems such as those that control nir navigntion nre subject to very high standards of quality. They need to explicitly provide system requirements nnd make sure there nre enough test cases that nssure an acceptable level of quality, per requirement. However, with the current fnst pace ofsollworo development, sometimes the program and tests are solid but the requirement documents get outdated. It is also possible thnt tho requirement documents are up-to-date, but the tests nre incomplete. Therefore, to narrow the gap between these two sets of artifacts, with the higher goal of increasing software quality, one would benefit from an automated system that identifies the missing pieces and automatically generates them. This project aims this target and proposes a mix of techniques to trace requirements to source code and tests, find missing requirements and tests, and by an iterative process, generate new tests and specification documents.

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Faculty Supervisor:

Hadi Hemmati

Student:

Shayan Zamani

Partner:

NAV Canada

Discipline:

Engineering - computer / electrical

Sector:

Transportation and warehousing

University:

University of Calgary

Program:

Accelerate

Soil-structure interaction and design limit states for large-span Ultra-Cor steel bridges

Arched culverts are widely used nowadays as a solution for numerous roadways and railways overpassing as they are cheaper and easy to construct in comparison to conventional concrete and steel bridges. The current study involves three-dimensional numerical simulation for three full-scale field monitored large-span arched culverts (including the largest span arched culvert in the world of 32 m). The verified numerical model will then be used to investigate the impact of several parameters such as the supported soil and truck loading on performance of large span culverts. The results from this study will be used to develop design guidelines and recommendations for large-span arched culverts. Lastly, the validated numerical model will be utilized in investigating different methods to strengthen the large-span culverts in addition to simulating the welded connections between the segments of the culvert and demonstrate their impact on the performance of the culvert.

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Faculty Supervisor:

Hesham El Naggar

Student:

Kareem Embaby

Partner:

Atlantic Industries Limited

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Innovative Sustained High Strength Silicate Based Shotcretes

Due to early strength requirements, shotcrete mix must incorporate rapid set accelerating agents to speed up mix set time and accelerate hardening. Silicate-based shotcrete accelerators have demonstrated good early compressive strength, short set time and good stiffening properties at relatively low cost. The silicate-based shotcrete mix also has minimal impacts on health, environment and improved safety. However, it can exhibit relatively significant loss of compressive strength over 28 days, which presents a critical challenge. The aim of this project is to develop low-cost and environmentally-friendly silicate-based accelerators that exhibit rapid setting, strength gain and minimal 28-day loss of strength. This will rely on understanding the interactions between silicate accelerators and cement, and compatibility issues. The research will focus on enhancing mechanical, hydraulic and microstructure properties of shotcrete mixtures at different curing temperatures and ages, as well as evaluating durability privilege of silicate-based shotcrete mixtures over alkali-free shotcrete mixture accelerators.

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Faculty Supervisor:

Hesham El Naggar

Student:

Esraa Elsayed

Partner:

National Silicates Partnership

Discipline:

Engineering - civil

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Microwave Sensors Packaging for Liquid Materials Characterization in Harsh Environments

Industrial processes are continuously evolving to reduce environmental pollution, save energy, and remain economically competitive. In order to achieve these goals and optimize industrial processes such as combustion in cars and airplanes, or drilling in downhole oil extraction wells, the processes parameters need to be accurately monitored and effectively analyzed. Sensors are able to transduce physical signals into meaningful electronic signals for processing and decision-making purposes. Recent industrial developments have shifted the paradigm of automotive, aerospace, and oil industry demands towards extreme environment applications, requiring microelectronics to be operated at high-temperature environments (>130 °C). Microwave sensing as an emerging technology with contactless, non-intrusive, and robust monitoring and detection capability is an outstanding candidate for those applications. However, the backbone of these sensors still relies on microelectronics that operate at ambient temperatures. The innovation will be integrating the transducer component, the readout electronics, and the fluidic channels on a single substrate for reliable and ultrasensitive detection of analytes. The unique method will provide further miniaturization and enhancement to microwave sensor functionality in inaccessible environments without requiring an input source or expensive auxiliary equipment.

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Faculty Supervisor:

Mohammad H Zarifi

Student:

Arezoo Hosseini

Partner:

Alberta Centre for Advanced MNT Products

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Program:

An Accurate Screening Technique for the Study of Sub-synchronous Controller Interaction in a Power System having Multiple Wind Generators

This research will investigate methodologies for accurate analysis of Sub-synchronous Controller Interaction (SSCI) in a wind-based power system having multiple Doubly Fed Induction Generators (DFIGs). The approach will extend the candidate’s PhD research which introduced a new method to find a state-space model of a system having multiple HVdc links by using the admittance frequency responses of converters and a state-space model of the ac-network. The resultant model permits quantitative stability studies like eigenvalue and mode-shape analysis, participation factors, sensitivity analysis etc. The same approach can be extended for the study of SSCI in converter based wind power systems by developing a comprehensive integrated approach that combines the various steps. As the method does not require detailed internal information of DFIGs, it is well suited for systems having manufacturer or utility provided black-box models. In collaboration with the industry partner, the approach will be demonstrated using real-world example systems.

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Faculty Supervisor:

Aniruddha (Ani) Gole

Student:

Mukesh Kumar Das

Partner:

Electranix

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

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