Projets novateurs réalisés

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

30 508 projets complétés

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5105
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825
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681
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860
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9051
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97
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586
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Projets par catégorie

Fast Implementation of Machine Learning Algorithms for Event Sequence Data in order to improve Customer Experience

Every day millions of customers move through the sales cycles of companies, this generates large sources of event data. This project aims to discover, understand and predict the journeys of their customers. On one hand, the project is interested in describing the data at a higher level. This means to apply machine learning techniques, namely clustering, and sequence embedding, in order to group similar behaviors together and allow the user to focus analysis on different aspects of the data, such as users of a specific age. On the other hand, this project focuses on dealing with real-time data, i.e. data that is coming into the system continuously. This platform could be applied to sales optimization, business process mining, churn analysis and so on.

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Superviseur du corps professoral :

Nathan Taback

Étudiant :

Partenaire :

ODAIA Intelligence Inc

Discipline :

Computer science

Secteur :

Technology; Commercial Services; Other

Université :

University of Toronto

Programme :

Accelerate

iNurse, iTeach: Using Mobile Applications in Client Education.

The use of mobile devices, such as the iPad are quickly becoming an ideal tool for client education. Currently available medical applications range from nutrition guides, calorie counting and exercise programs to blood pressure monitoring and diabetes management tools. These consumer-oriented health applications are believed to empower clients to become active participants in their health care. The use of mobile technology will provide health care providers and clients with easily accessible, current up-to-date health information within the hospital setting or in other home and community environments. Health care professionals will have an opportunity to use technology to educate clients on how to effectively utilize these medical applications and validate that the information is current and up-to-date. This research project will focus on the health care professional and the impact of the use of medical and health applications on the clients’ and family’s enhanced understanding of their condition, diagnosis, treatment plan………….TBC

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Superviseur du corps professoral :

Sandra Bassendowski

Étudiant :

Partenaire :

All Nations' Healing Hospital

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Saskatchewan

Programme :

Accelerate

Stratégies de légitimation des États de facto : l’industrie touristique en République moldave du Dniester

Afin d’opérer sa séparation de facto avec la République de Moldova en 1992 et l’établissement de son « État », la Transnistrie – ou République moldave du Dniester – conçoit depuis maintenant près de 30 ans plusieurs politiques de construction de l’État, de l’identité et de légitimation. Les récents développements d’une industrie touristique transnistrienne autonome sont révélateurs des différentes options employées par cet État de facto afin de sortir de son isolement relatif. Avec l’arrivée de plusieurs touristes et la construction de nouvelles infrastructures, la Transnistrie tente de projeter une certaine forme de légitimité à l’intérieur comme à l’extérieur, mais aussi de continuer la réalisation de son « État » et de son identité distincte. La question se pose donc à savoir comment le tourisme, sous toutes ses formes, contribue à la construction et à la légitimation de l’« État » transnistrien depuis la fin de la guerre civile ? Ce projet démontrera comment la Transnistrie, par son industrie touristique, génère non seulement des revenus, mais tente aussi de se distinguer de l’État-centre, la République de Moldova. TO BE CON’T

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Superviseur du corps professoral :

Magdalena Dembinska

Étudiant :

Partenaire :

Université Catholique de Lublin Jean-Paul II

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Enabling Purchase of Residential Homes at Scale

Properly buys and sells homes directly from consumers. For our business to be successful, we must be able to predict two things when making a home purchasing decision:
? The price it would sell for on the open market
? How much time it will spend on the market to sell at that price
These two variables are correlated: price can affect time-on-market, and time-on-market can affect price. There are many other factors at play as well. In the broader market, these complex real estate decisions are largely made using human judgement, based on experience and expertise. We want to increase the speed and accuracy of these predictions using applied data science, in order to reduce the business risk of home buying decisions, and to allow making them at scale.

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Superviseur du corps professoral :

Nathan Taback

Étudiant :

Partenaire :

Properly

Discipline :

Computer science

Secteur :

Real estate and rental and leasing

Université :

University of Toronto

Programme :

Accelerate

Express Scripting Technology: Scratch for SOTI SNAP and IoT

SOTI has developed a software product called SOTI SNAP that is designed to allow anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to drag and drop widgets onto a canvas and connect them together to create an app. Apps generated with SOTI SNAP have cross platform capabilities, they can run on Android and iOS based devices. Currently SNAP apps that require programming logic, must use JavaScript, but using JavaScript requires technical skills. SOTI would like to add a visual language capability that is similar to visual block programming frameworks like Scratch and Blockly. This capability would fit well with our zero-code goal, and minimal technical skill requirement for developing apps with SOTI SNAP.

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Superviseur du corps professoral :

Syed Ishtiaque Ahmed;Khai Truong

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Interfacing Data and Power: Serious Gaming in the Experimental Humanities

As a teaching fellow of the Pelion Summer Lab for Cultural Theory and Experimental Humanities I will be collaborating with scholars in the digital and experimental humanities to co-lead a methodologically-focused, experimental workshop to produce and publicly stage a ‘serious game’ related to this year’s lab theme, Data & Power. Serious games are a genre of applied gaming where entertainment is subservient to a pedagogical motivation. Drawing inspiration from the open source movement and gaming subcultures, this proposed workshop will be user-driven and in part user-designed. Interfacing social theory and practice in and as the elaboration of an interactive gamespace, the experiment aims at involving participants as gamers whose embodied interactions within the gamespace generate real-time data feedback that actively shapes the parameters of that space as a domain of collaborative knowledge production. Conceived through the interfaces and pedagogical genres of online and offline gaming, this research project aims to bridge divisions between public and academic forums and ‘hegemonic’ and ‘peripheral’ sites of knowledge production by engaging members from the public as active players/collaborators rather than as a standing reserve of passive research participants, offering interactive tools with which to understand data as a cultural force in everyday life.

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Superviseur du corps professoral :

Naisargi Dave

Étudiant :

Partenaire :

University of Thessaly

Discipline :

Sociology

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Real VR Hands and Interaction with Virtual Objects

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims at enabling an expressive virtual hand reconstruction to increase immersion and presence in VR experiences. The capacitive sensor that will be utilized in this project is supported by the project partner, Tactual Labs who, by the end of this project, will benefit by having its current innovative capacitive controller more intelligent.

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Superviseur du corps professoral :

David I.W. Levin

Étudiant :

Partenaire :

Tactual Labs Co

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Innovative wastewater treatment flowsheet development for the high strength centrate from food waste processing facility

Centrate from food waste processing facilities contains higher concentrations of organic matters. Those contaminants (especially ammonia nitrogen) remain in the wastewater effluent after anaerobic digestion treatment, which are the great treat to the environment if not properly treated. Other contaminants (biochemical oxygen demand, chemical oxygen demand, total nitrogen, total phosphorus, suspended solids, etc.) also impact the downstream wastewater treatment processes. Many full-scale plants fail to meet all effluent discharge requirement or inability to consistently meet discharge criteria. This research project is to investigate the characteristic of the centrate from food waste processing facility and to develop new, reliable biological centrate treatment flowsheet.

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Superviseur du corps professoral :

Sheng Chang

Étudiant :

Partenaire :

Veolia Water Technologies & Solutions

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services; Construction and infrastructure; Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Phase Transformations in the Reduction of Manganese Ores by Methane

Manganese is a critical element in steelmaking – the third most common element after iron and carbon – and has no satisfactory replacement. The conventional process for producing metallic manganese is energy- and carbon-intensive, operating at 1400-1600°C and consuming on the order of 1 tonne of carbon reductant for every 2 tonnes of manganese produced. An alternative strategy based on the reduction of manganese ores by gaseous methane, rather than solid carbon, may allow operation at lower temperatures (1000-1200°C) while also mitigating CO2 emissions. Prior works have demonstrated the viability of this approach at the lab scale and research is ongoing at the University of Toronto to demonstrate the scalability of this technology. Work-to-date has demonstrated that phase transformations during the reduction process, in particular the melting of the Fe-Mn-C product phase, have a significant effect on the rate of reduction. Improved understanding of these transformations will enable optimization and scaling of this process.

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Superviseur du corps professoral :

Mansoor Barati

Étudiant :

Partenaire :

Norwegian University of Science and Technology

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

SSL Offloading Prototype

SOTI MoblControl is an enterprise mobllity management solution that secures and manages, mobile devices and the mobile data across all endpomts. To ensure end-to-end security, MobiControl encrypts all
communication between the MobiControl Manager and the Deployment Server uslng Secure Socket layer (SSL). The SSL Is a cryptographic protocol that is use widely for secure communication. The process of the encryption and the decryption In the SSL require considerable computation power. Specially in a situation of handling a large number of devices. This can put a significant stain on CPU resources and effect the performance of the system. By isolating SSL computation into a separate process and offloading process to specific hardware, and network components that are optimized specifically for this task, organizations gain grealtar control and ability to optimize the throughput of their system. The research will focus on creating a proof of concept that will potentially support SOTI’s customers in infrastructure saving.

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Superviseur du corps professoral :

David Lie

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Machine Learning Aided Detection of Brain Aneurysms

Intracranial aneurysms are relatively common, occurring in 2-5% of the general population. Rupture of the aneurysm can result in a stroke with a devastating 30-day mortality of 45%. Further, severe medical conditions are possible in which up to one third of patients may die before reaching the hospital and one third will become severely debilitated. Aneurysms are, however, difficult to find on magnetic resonance and computed tomography angiography scans (MRA and CTA scans) – especially when small or located close to the bone. Through the use of the existing knowledge and expertise of the neurovascular team at Toronto Western Hospital, as well as their database of CTA and MRA scans, the aim of this project is to improve on efforts in this field through the development of an artificial intelligence and machine learning method for the detection of intracranial aneurysms with a diagnostic accuracy approaching that of trained neuroradiologists. As unspecialized general radiologists read most neuroimaging exams due to a lack of specialized physicians in remote and rural areas, a long-term goal is to use results from this work to build a tool for the support of imaging review by non-specialists in emergency situations.

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Superviseur du corps professoral :

Marzyeh Ghassemi

Étudiant :

Partenaire :

Education and Scientific Services of Toronto Neuroradiology

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Automated Retail Area Cluster Detection

The main objective of this project is to develop a retail cluster detection algorithm and improve the accuracy of the identification. The final deliverable will be an algorithm that runs through Google dataflow that will be able to ingest a month of users’ location breadcrumbs and output user-location clusters. The output of the algorithm will be a unique cluster identifier that will be used in the visit algorithm for visit identification. Besides latitude and longitude data, the project will have access to altitude information. This can be useful for determining clusters in multi-level locations (such as malls).This algorithm will help recognizing the customer visiting pattern observed based on user ID and allow accurate profiling for weather related content or advertisement targeting for enhanced user experience

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Superviseur du corps professoral :

Nick Koudas

Étudiant :

Partenaire :

Pelmorex Media Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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