Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Business Case for the Intelligent Offshore Trawling (IoT) Net

The project will build a business case to evaluate and develop an innovative Intelligent Offshore Trawling (IoT) Net. This net will transform bottom trawling processes by having the net just above the seabed. This means the seabed is not violently disrupted and that the operations of the trawling vessels are more efficient through a greatly reduced loading on the trawling vessel propulsion system. This will decrease the green house gas emissions from underway trawling vessels. A collateral benefit is that the bycatch will be reduced. The intern will examine the preliminary design, perform an engineering feasibility study, examine the cost to early adopters and produce a research and development plan. These components will be documented to form the business case for the IoT Net. This business case document is the project deliverable. This is the first step in a collaboration that will stage a Nova Scotia company, Pombcoup Technologies, to be the OEM for a transformational technology that will is adopted in Atlantic Canada and then across Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Mae L. Seto

Étudiant :

Partenaire :

Pombcoup Technologies

Discipline :

Engineering

Secteur :

Agriculture

Université :

Dalhousie University

Programme :

Business Strategy Internship

Penrose Partners i3 Incubator Associate

The primary focus of the internship program will be assisting Penrose Partners in the development, programming, and execution of our I3 Innofund Incubator program. Currently in its first iteration, the Innofund Incubator is the premier destination for blockchain and digital asset startups looking to accelerate their growth and expand to international markets. In partnership with Ryerson University’s premier DMZ incubator, as well as the Government of Bermuda, the incubator provides the resources, guidance, and partnerships necessary for exponential growth. The intern staffing this project will touch all aspects of the incubator program, including but not limited to: client management, market research, content production, social media & marketing strategy, operations & logistics, and more.

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Superviseur du corps professoral :

Sandy Staples

Étudiant :

Partenaire :

Penrose Partners

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Business Strategy Internship

Venture Studio Fellow

Futuresight as a venture studio is a startup and VC fund that invests in and builds different software companies. Our goal for Benjamin in the next 6 months is to play an active role on the Validation Team being responsible for activities related to:
– Ideation
– Customer discovery
– Assumption mapping and Lean canvas design
– Market research and competitive analysis
– Costing
These activities will support the work of 2 Founders in Residence who are looking to build start-ups at FutureSight.
It is a crucial role. We have earmarked 6 months for the ideation and validation phases around a new software opportunity that can potentially be formed into a new venture. At the end of the 6 month period, a decision will be made around investment. The work done now is directly correlated to FutureSight’s decision to invest or not.
Why? Founders in Residence are chosen by FutureSight to go through this initial validation period with, in order to assess the market opportunity and ability to build a venture scale business.

Voir la description complète du projet
Superviseur du corps professoral :

Sandy Staples

Étudiant :

Partenaire :

FutureSight

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services; Management of companies and enterprises

Université :

Queen's University

Programme :

Business Strategy Internship

Low cost SERS substrates with rapid manufacturing

The proposed research will develop cost-effective substrates for application in Surface Enhanced Raman Spectroscopy. The substrates will be made using self-assembly methods for nanomaterials in aqueous medium
and a final step of simple filtration. The nanoscale material will provide high sensitivity as a SERS substrate for detection of specific chemicals and microbes. The developed SERS substrates during this project will be applied
by the industrial partner for detection of antibiotic resistant microbes using a simple point of care hand held device that will simplify health care in remote communities.

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Superviseur du corps professoral :

Vivek Maheshwari

Étudiant :

Partenaire :

Spectra Plasmonics Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Correction of Non-ideal Lighting Conditions for Face Recognition in Alcohol Ignition Interlock Devices

Missing project overview. Missing project overview. Missing project overview. Missing project overview.

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Superviseur du corps professoral :

Ling Guan;Anastasios Venetsanopoulos

Étudiant :

Partenaire :

Alcohol Countermeasure Systems Corp

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Toronto Metropolitan University

Programme :

Accelerate

Seismic Assessment of High-Density Polyethylene (HDPE) Lift Stations

Lift stations are an underground utility transporting wastewater from residential or commercial sources to wastewater treatment plants. Lift stations are defined as a post-disaster structure according to national building code of Canada, which are required to remain operational immediately after earthquakes. A wealth of evidence from historical post-earthquake reconnaissance has confirmed the excellent performance of high-density polyethylene (HDPE) pipelines under earthquakes. However, the application of HDPE to lift stations is relatively new, and the seismic performance of HDPE lift stations remains poorly understood. This project aims to address these research gaps through two-dimensional and three-dimensional numerical simulations of HDPE lift stations subjected to seismic loading. The outcomes of this research will bring tangible benefits to the seismic resilience of wastewater infrastructure in Canada and contribute the scientific knowledge on emergency response planning.

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Superviseur du corps professoral :

Cheng Lin

Étudiant :

Partenaire :

Ryzuk Geotechnical

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

The Relationship between Psychophysiological Measures of Emotion and Applied Effort

Physical inactivity is a major public health concern. While this is a multifaceted issue, one approach to increase interest and engagement in exercise is to make it more immersive. Previous research has shown that emotionally
driven content can increase the overall experience as well as an individual’s performance during exercise. However, the relationship between emotionally driven content and its effects on applied effort during exercise is
not well understood. Therefore, the goal of this internship is to measure and model the response to emotionally driven content during exercise. By furthering our understanding of how people respond to emotionally driven
content while exercising, researchers

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Superviseur du corps professoral :

Cameron Mitchell

Étudiant :

Partenaire :

Wattch Fitness Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients undergoing vision therapy for these vision problems. However, vision therapy remains out of reach for many patients due to the cost of eye-tracking services. The proposed research seeks to take advantage of recent advantages in computer vision and machine learning that led the way for low-cost eye-trackers. In this project, we will investigate the feasibility of using low-cost eye-trackers for measuring oculomotor problems helped by vision therapy. The performance of these low-cost eye-trackers will be bench marked against scientific grade eye-trackers that are traditionally used for vision therapy.

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Superviseur du corps professoral :

Balakumar Balasingam;Arunita Jaekel;Francesco Biondi

Étudiant :

Partenaire :

Pediatric and Family Eye Care

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

University of Windsor

Programme :

Accelerate

L’intelligence artificielle au service de la cybersécurité : conception et développement de services pour des organisations plus autonomes

Avec la pénurie croissante d’experts en cybersécurité et l’imprévisibilité des attaques informatiques, les organisations canadiennes font face à des défis majeurs pour protéger leurs actifs informationnels. L’objectif dece projet est de concevoir et développer un portail comprenant des services en cybersécurité que ces organisations peuvent utiliser de manière autonome ou semi-autonomes pour évaluer leur sécurité et les gérer les risques qu’elles encourent. Les stagiaires qui participeront à ce projet utiliseront des démarches scientifiques et puiseront dans les techniques d’intelligence artificielle pour développer le portail.
En plus de contribuer à l’avancement des connaissances dans le domaine de la cybersécurité, ce projet permettra à l’organisme partenaire d’être avant-gardiste dans l’offre de services en cybersécurité en permettant aux organisations canadiennes d’utiliser des services de cybersécurité informatisés et personnalisables.

Voir la description complète du projet
Superviseur du corps professoral :

Hager Khechine

Étudiant :

Partenaire :

La Société conseil Lambda inc.

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services

Université :

Université Laval

Programme :

Accelerate

A Feature Discovery System for Data Science Across the Enterprise

Existing data lake systems lack the support for storing or discovery features that could be used with different ML projects.
These limitations negatively affect the process of decision-taking. Data scientists spend most of their time finding, preparing,
and integrating relevant data sets to finish analytics tasks. Feature discovery systems are needed to ease the process of building
data science pipelines to drive significant insights efficiently, effectively and fairly. To meet these needs, we should overcome
challenges, such as: (a) discovering links and similarities among data items at different granularities, such as table and column,
and (b) developing mechanisms to make the features searchable not only searching the relevant data (c) processing complex
queries that extract the relevant features efficiently, (d) tracking vast amount of features used in different ML projects and
accuracy of the models used these features, and (e) detecting feature bias used throughout a data science pipeline.

Voir la description complète du projet
Superviseur du corps professoral :

Essam Mansour

Étudiant :

Partenaire :

Royal Bank of Canada (Borealis)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology

Université :

Concordia University

Programme :

Accelerate

Dynamic actor tracking for Augmented Reality-based filmmaking guidance

Augmented Reality can help in simplifying the filmmaking process by intelligently suggesting shot composition angles for amateur filmmakers to take better shots. In partnership with Rubber Match Productions, researchers will investigate how actors within an AR filmmaking environment can be dynamically tracked to provide real-time guidance to the filmmaker for shot composition. The project will utilize latest advances in artificial intelligence and computer vision to track actors in real-time through videos. Multiple actors will be tracked simultaneously, and Rubber Match’s proprietary “smallest angle principle” will be applied on the actors’ positions for accurate shot composition. The developed technology and accompanying app will provide amateur filmmakers with professional filmmaking guidance at their fingertips. The proposed research will also be expected to make significant contributions in the fields of augmented reality and artificial intelligence. The intersection of these two fields is becoming increasingly important for providing production-level software tools and techniques in digital media and video production

Voir la description complète du projet
Superviseur du corps professoral :

Naimul Khan

Étudiant :

Partenaire :

Rubber Match Productions Inc.

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

Toronto Metropolitan University

Programme :

Accelerate

Restorative Action Student Support Analytics

In partnership with schools and community partners, the Restorative Action Program deals with bullying, physical violence, crime, mental health, substance abuse, suicide and self-harm – with programming delivered to over 8000 youth in Saskatoon schools. They work with youth to develop and practice conflict management, relationship management, and leadership skills – focusing on prevention, intervention and reconnection.
Over the course of two years, RAP along with Saskatchewan Polytechnic, has developed a prototype progressive web application capturing an identified set of data elements that were not possible to capture using previous technology. Now that the prototype has made visible a rich topology of varying data elements and many interrelationships, it is time to investigate and analyze semantic context and further enhance the insight and knowledge being discovered within the data and relationships. This, in turn, will improve the efficacy of the services provided to youth in distress or difficult situations within the Saskatoon school systems.

Voir la description complète du projet
Superviseur du corps professoral :

Cyril Coupal

Étudiant :

Partenaire :

Restorative Action Program

Discipline :

Computer science

Secteur :

Education

Université :

Saskatchewan Polytechnic

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.