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 […]

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated infrastructure changes. Moreover, bridging the service layer across multiple, distinct distributed systems of varying complexity will pose new […]

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

An internet forum is an online site for people to have conversations. It contains threads to hold discussions between users. Recommending appropriate threads to forum users is one of the main goals of an internet forum. To provide positive user experience, cross-domain thread recommendation is required, which can be benefited greatly from the help of […]

The research project will find optimal conditions for instrument-free, fast, and sensitive/specific detection of pathogen (COVID-19). The project is composed in two units(IU), each module within IU is offering independent technical solution for the current bottleneck in diagnostics industry. The first module is temperature-based denaturation of biological sample, coupled with nucleic acid-based detection (IU1). The […]

In light of the recent outbreak of Covid-19, it is urgent to find a solution for quick and efficient pathogen detection and elimination. Rapid point-of-need diagnostic tests and monitoring devices are urgently required in order to provide testing and care to those infected. Currently, testing is performed at centralized facilities using specialized equipment for molecular-based […]

SAP is a multinational software corporation that makes enterprise software to manage business operations and customer relations. SAP Labs Montreal focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for […]

There is actually a societal challenge here in north America regarding the end-of-life management of used beverage cans (UBCs). China is no longer accepting several of our recyclable waste streams like UBCs. UBCs are made of aluminum that contains some level of magnesium and manganese to modulate the properties of the body and the lid […]

COVID-19 pandemic has brought the world to standstill with more than 3 million people infected and more than 200 000 mortality so far. It has literally brought the health care systems in many countries to the breaking point, if not beyond. The economic consequences have been devastating with millions of people out of work. We […]

Data science is an interdisciplinary field that combines statistics, computer science, and domain knowledge. The rise of data science has fundamentally changed how people solve problems in all kinds of industries. To fill the talent gap, SFU professional master’s program (PMP) was launched in 2014. In this Mitacs cluster project, SFU PMP will collaborate with […]

The recent outbreak of the SARS-CoV-2 associated coronavirus disease, COVID-19, had been declared a global pandemic by the World Health Organization. There is still only a minimal understanding of the virus and an absence of effective targeted therapy for its treatment. Epigenetic regulations in cells control the expression of genes without modifications to the genetic […]

In this project, we replicate the dispatching operation of mineral transportation trucks using a discrete-event simulation model, then we use the data generated by the simulation model to train an AI algorithm to dispatch trucks to loading/unloading shovels. The use of AI in this scheduling problem will improve the system’s performance