Road Accident Severity Detection using Telematics and Environmental Data from Connected Vehicles

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data collected from over 2 million connected vehicles, there is a great opportunity to leverage big data and machine learning to establish an accident detection system. On top of driving data and environmental data, it also contains machine diagnostic data which is hypothesized to have highly correlated features when it comes to accident detection.

SOTI SNAP Widget Enhancement

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. The research problem to be addressed is to solve customer challenges by first understanding what the customer is asking for, then research on what is the best way to meet their needs, and finally, create brand new or enhance existing widgets so anyone can use them easily and effectively.

WiFi Indoor Localization and Geofencing

Many mobile devices that are used in an enterprise are considered mission critical as they are heavily relied upon, allowing a worker to do their job. Locating these devices anywhere and anytime becomes that much more important, especially if they become lost or stolen. SOTI’s technology leverages GPS on a device to track its location and can also alert if a device leaves/enters a predefined geographical fence on a map, otherwise known as geofencing. Outdoor and GPS based geofencing is widely adopted by many SOTI customers, yet indoor location and geofencing remain relatively novel.

3D imaging of solid state batteries

Battery technology is vital for storing renewable energy, which is inherently intermittent. In order to match these intermittent energy sources (such as the wind and sun) to real world patterns of use, we need reliable and durable energy storage technologies. Increasing the energy density and range of operating temperatures are much needed advancements for next generation batteries. Currently safety issues accompany efforts to increase the energy densities of mature liquid electrolyte based batteries.

Developing a regional approach to modelling the co-benefits urban forest ecosystem services provide.

As the intensities of urbanization and climate change increase across the Toronto region, there are many benefits pointing to a need for increased investments in our regions urban forests. Urban forests provide co-benefits, services that benefit both humans and the environment, through heat mitigation and mitigation of the “urban heat island”, removing air pollution, sequestering carbon, managing storm water run-off and flood reduction, as well as benefits to both physical and mental human health.

Nano-engineered concrete and composites with advanced graphene-based 2D nanomaterials

The development of high performance and durable concrete material is extensively required in the present world to build resilient and sustainable infrastructure. This project will open the prospects for developing a high performing advanced concrete composite engineered with graphene-based nanomaterials. Graphene is a nanomaterial typically produces from graphite, with extraordinary strength and chemical properties. The partner organization in this project is ZEN Graphene Solutions Ltd., the owner of a large high-quality graphite mineral in Thunder Bay, Ontario, Canada.

Machine learning in the operating room: focus, performance, and the medical record

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings.

Automated clinical note generation from clinician-patient dialogues

This project will investigate improvements to models for automatically generating physician notes from transcripts of conversations between physicians and patients. The model will capture important medical information such as symptoms, treatments, and medications, and automatically formulate a free-text note that mimics the style of the physician’s manually entered notes. The model will use context and time information to ensure that the documentation is accurate and complete.

Improved process modeling and optimization of the Birla Carbon Process

This project is a collaborative relationship between the Combustion Research Laboratory (CRL) at the University of Toronto and Birla Carbon. Birla Carbon is one of the largest manufacturers and suppliers of high quality carbon black additives globally. Carbon black has usage potential across an array of diverse application segments including rubber products, black pigment, UV protection and conductivity in plastics.

Developing methods to isolate regulatory innate lymphocytes

Enhancing tissue homeostasis and immune tolerance mechanisms is pivotal for the development of new therapeutic approaches for transplantation and autoimmunity. This proposal is focused on harnessing newly discovered types of lymphocytes that regulates immune responses in cell-based immunotherapies. We are developing methods to isolate and expand these newly identified regulatory lymphocytes and are assessing their ability to prevent immune-mediated tissue damage. The goal of these studies being to use these cells in immune-based therapies for transplantation.

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