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

High-Energy-Density Solid-State Li Metal Battery enabled by High-Performance Composite Electrolyte and Protected Li Metal Anode

This project will aim to develop safe and high-energy-density solid-state Li metal batteries (SSLMBs) by constructing a stable Li/solid electrolyte (SE) interface and using high performance composite SEs based on sulfides and halides. The project includes three main directions: (1) design and synthesis of highly conductive and electrochemically stable composite electrolytes; (2) stabilizing the interface between the Li anode and halide or sulfide electrolytes; (3) design and assembly of high-performance solid-state Li metal batteries. The goal of this project is to address the challenges associated with the fundamental investigation and fabrication process of high-energy-density SSLMBs, from material design & synthesis to battery assembly and examinations. Prototype pouch cells will be developed to guide future commercialization of SSLMBs by the industrial partner. Successful completion of the proposed project will provide significant benefits to the industrial partner and to Canada’s expertise and high energy density SSLMB technologies.

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Faculty Supervisor:

Xueliang Andy Sun

Student:

Hui Duan

Partner:

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Investigation of rut and moisture damage resistant additives for asphalt mixtures

The main goal of this research project is to reduce the rate of occurrence of these distresses by designing and developing improved asphalt binder and asphalt mixtures appropriate for St. John’s environmental and loading conditions. The project will develop recommendations on specifications for asphalt binders, modifiers and asphalt mixtures to enhance the rutting and moisture resistance of pavement.

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Faculty Supervisor:

Kamal Hossain;Carlos Bazan

Student:

Towhidul Islam

Partner:

City Of St. John's

Discipline:

Engineering - civil

Sector:

Administrative and support, waste management and remediation services

University:

Memorial University of Newfoundland

Program:

Accelerate

Design Energy Harvesting Circuit and its System-on-Chip Implementation

We have seen the acceleration of global warming in recent years. Green-energy powered electronic devices are more desirable. In this proposal, we propose to develop an energy harvesting circuit and implement it on a system-on-chip. The design goals are low-cost, user-friendly, and portable. By partnering with Hidaca Ltd., our ultimate goal is to have this made-in-Canada technology available on the market as soon as possible to benefit Canadians and the global population.

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Faculty Supervisor:

Jie Chen

Student:

Shuren Wang;Xuanjie Ye

Partner:

Hidaca Inc.

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Alberta

Program:

Accelerate

Development and Applications of Cement Composites Made of Various Forms of Basalt Fibre – Year two

The structural health and performance of existing infrastructure in Canada has a large impact on the Canadian economy and hence, it is imperative that this infrastructure is kept in good operational conditions. A significant portion of this infrastructure was built during the post world war period, which suggests much of this infrastructure has surpassed their service life. Additionally, Canada’s extreme cold weather conditions give rise to adverse loading conditions such as freeze and thaw cycles, which further leads to damage and making this infrastructure more susceptible to failure. This proposed Mitacs fellowship project will develop various cement composite materials to facilitate a quick and straightforward rehabilitation process of existing damaged concrete structures. Various types of basalt fibre products such as basalt bundle dispersion fibres, basalt filament dispersion fibres, and basalt minibars will be used in various cement mixes to improve better bonding, mechanical, and durability properties. This work will be accomplished using experimental methods, which will be undertaken in the Structural Engineering Laboratory at the University of Windsor. The conclusions made from the laboratory tests will form the basis of rehabilitation techniques, which will then be applied in the field to rehabilitate concrete pavements, industrial floors, buildings, and bridges.

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Faculty Supervisor:

Sreekanta Das

Student:

Jamshid Zohrehheydariha

Partner:

MEDA Engineering & Technical Services

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Elevate

Developing BioInteract technology to identify therapeutic drug targets in genetic disease models

Higher drug discovery failure rate has led to an increase in drug prises in the market. BioInteract technique is designed to combat the failure rate by identifying most potential therapeutic drug for a broad range of genetic diseases by analysing the drug effect at molecular level. It is a scoring system that can rank drugs based on their ability to restore the key interactors at the molecular level in the mutant cell and thus predict how successful a drug will be in the given disease. The drug with higher score will be more likely to have fewer side effects and provide more normal levels of functionality. This information would be advantageous for drug discovery companies as they can eliminate a lot of ineffective drugs at preclinical stage and hence help reduce the cost burden due to drug failure. BioInteract can also helps find new interactors which could be better drug targets for the genetic disease. This technique will be validated using a pilot study on Autosomal Dominant Polycystic Kidney Disease (ADPKD). It is a genetic disorder causing cyst formation on kidneys. It is a 4th leading cause of end-stage renal disease in Canada.

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Faculty Supervisor:

Gagan Gupta

Student:

Dhairya Patel

Partner:

BioInteract

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Innovation in Tax Filing: Identifying Barriers and Increasing Access

Federal and provincial governments use the tax system to establish eligibility and deliver benefits and credits to low-income Canadians. Low-income Canadians experience increased barriers to filing their taxes and thus do not maximize available benefits. This is likely to have worsened as free in-person tax clinics closed due to the COVID-19 pandemic or only provide services virtually and as a result become inaccessible for individuals who lack technology and internet access. On average 15.9% of working-age adults in Ontario do not file taxes and a third of social assistance recipients in Ontario do not file taxes. In collaboration with the City of Toronto and Prosper Canada, Seneca will identify barriers to tax filing within Toronto, identify creative solutions, and develop an implementation plan that will ultimately guide City of Toronto policies in the future and assist in the City of Toronto’s Poverty Reduction Strategy.

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Faculty Supervisor:

Varinder Gill

Student:

Menaahel Zahid;Rishabh Sharma

Partner:

City of Toronto

Discipline:

Design

Sector:

Other services (except public administration)

University:

Seneca College

Program:

Accelerate

Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission Under Smart Grid

The objective of this research is to develop models to assess potential benefits of cloud-based Smart Dual Fuel Switching System (SDFSS) of the residential hybrid HVAC system of electric air source heat pump (ASHP) and natural gas furnace/boiler (NGFB) for simultaneous reduction of energy cost and greenhouse gas (GHG) emission. It will entail detailed modelling, simulation, and optimization of three different well studied residential houses in four regions of Ontario to assess the potentials of such smart cloud-based supervisory control under different Time-of-Use (TOU) electricity prices and federal carbon tax schemes in terms of maximizing energy cost saving and GHG emission reduction while providing a flexible and ubiquitous mechanism for utilities (both electric and natural gas) to better manage their infrastructure for distributed renewable energy generation and load management under the smart grid framework. The aim of this project is to answer the following research question: “How effective are the SDFSSs in different cold climate cities, and how does it perform in future high-carbon pricing scheme from a GHG emission and economic perspective?”

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Faculty Supervisor:

Alan Fung

Student:

Gulsun Demirezen

Partner:

Sustainable Buildings Canada

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Accelerate

Prioritization and Optimization of the Sewer Flushing Program for Municipal Wastewater Collection Systems

The objective of the study is to develop an algorithm to streamline and automate the decision making process for implementing the municipal wastewater collection flushing program. Traditionally, a municipal flushing program, or pipe cleaning, is based on a time-cycle approach. This means that all sewer pipes in the network are treated the same, ignoring variables, such as the pipe physical attributes, site conditions, use and service are ignored. The driving paradigm for this project is to switch from a quantity-focused practice toward a quality-focused approach. This project will develop an innovative computer-based tool to optimize the preventive maintenance of sewer pipes through flushing. Flushing is characterized by injecting pressured water inside the pipes to flush the grease, debris and deposits before blockage and failures occur. This computerized tool will assist municipalities applying an evidence-based, risk-informed asset management strategy. The strategy will focus on decision making to optimize and implement the flushing program and the modelling of the process with existing GIS applications. Aspects outside the scope of this project include condition assessment and modelling of pipe deterioration.

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Faculty Supervisor:

Arnold Yuan

Student:

Amir Hossein Keshvari Fard

Partner:

Town of Georgina

Discipline:

Engineering - civil

Sector:

Administrative and support, waste management and remediation services

University:

Ryerson University

Program:

Accelerate

Process Development of Atomic Layer Deposition Cobalt and Ruthenium Metal Films – Year two

Next-generation integrated circuits require the innovation of new interconnect materials in order to maintain the performance improvements of Moore’s Law scaling. Cobalt (Co) and ruthenium (Ru) are two specific metals that are garnering strong interest for use in the filling of interconnects because of their better electrical performance and reliability at the extremely scaled dimensions required by sub-10 nm technology nodes. Hence, through the collaboration between Synthergy and the University of Alberta, this research fellowship aims to exploit the high conformality and precise film thickness control capabilities of atomic layer deposition (ALD) to deposit thin Co and Ru metal films suitable for these semiconductor applications and Synthergy’s potential end customers. To that end, the main objectives will be to develop improved, robust ALD Co and Ru processes with an emphasis on realising thin metal films with high purity, good conformality, and low resistivity.

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Faculty Supervisor:

Ken Cadien

Student:

Alex Munnlick Ma

Partner:

Synthergy Inc

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Alberta

Program:

Elevate

Development, implementation and validation of new anti-E6 therapeutics for the treatment of HPV-associated cancer – Year two

Human papillomaviruses (HPVs) are responsible for almost all cervical cancers. Current treatment available relies on chemo- or radiation-therapy or surgery. These methods have several side-effects with high morbidity and survival of just ~ 70%. Our lab, therefore, develops a more patient-centered approach based on targeting the viral E6 protein, the main culprit of carcinogenesis in HPV-related malignancies. We have generated different anti-E6 molecules (siRNA and single domain antibodies) and the goal of the proposed project is to implement and validate these molecules as potential therapeutics as well as developing other molecules (chemical compounds or peptides) to target E6 more broadly and more effectively. One of the objectives of the Thunder Bay Regional Health Research Institute is to develop treatment options for cancer patients as well as developing more collaboration between Physician and fundamental research. If successful, this project would lead to a long term collaboration to bring these therapeutics to clinical application.

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Faculty Supervisor:

Ingeborg Zehbe

Student:

Guillem Sébastien Dayer

Partner:

Thunder Bay Regional Research Institute

Discipline:

Biology

Sector:

University:

Lakehead University

Program:

Elevate

Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced anomaly detection algorithm by utilizing state-of-the-art machine learning and artificial intelligence techniques and combining it with existing anomaly detection techniques. We propose to develop a unique deep learning methodology based on the Modified Support Vector Machine (MSVM) and the Bi-directional Long Short-Term Memory Recurrent Neural Networks (BLSTM RNN) approaches. We will test and evaluate the solution with respect to the accuracy, miscalculation rate, precision, true positive rate and F1 score

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Faculty Supervisor:

Kin-Choong Yow

Student:

Chi Mai Kim Ho

Partner:

Ericsson Canada

Discipline:

Engineering

Sector:

University:

University of Regina

Program:

Accelerate

Multiple functional nanoscale MOF particles for anticancer drug and siRNA delivery system

Nanomaterials as carriers are very suitable for the delivery of chemotherapeutic drugs in cancer treatment. Because nanomaterials as a carrier platform have strong permeability and retention delay in the treatment of tumors, they can passively target tumor cells. Metal organic framework ?MOF ?is a kind of porous material with large pore size and high specific surface area, which can achieve drug encapsulation. We adjusted the size and morphology of MOF to obtain biocompatible materials with an average particle size of less than 200nm. The surface of MOF was further modified to design a nano MOF@drug system combining chemotherapy, photodynamic therapy and gene therapy.

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Faculty Supervisor:

Pu Chen

Student:

Feng Zhao

Partner:

Enerclean Technology Ltd

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

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