Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]

Avasta Inc. is a consulting company currently providing measurement-based solution to improve the client acquisition and engagement of its clients. They use a unique methodology/algorithm to leverage unexploited data to improve their clients’ company performance. They have provided services for RBC, Brookfield, Walmart, P&G, etc. While they see a stable growth in traditional consulting services, […]

The proposed project will help develop an online forum that can be used as a public consultation tool for governments as they make important public policy decisions. This forum will be developed and tested in the City of Markham as a case study. The model will then be refined so that it can be applied […]

Triumvira a, Canadian US, post series A, biotech company, working on the development of a new targeted cancer therapies. The core technology is focused on the genetic engineering of immune cells isolated from patients. This process then enables these immune cells to recognise cancer cells that otherwise are invisible to the immune system. These therapies […]

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

Theft or loss of sensitive data is a growing concern for companies who may suffer losses of consumer confidence, market valuation and intellectual property when large amounts of data are stolen. In this research project we will use an enhanced “screen and review” approach to combating exfiltration in a large data set of activity logs […]

This four-month research project proposal aims to contribute to bioremediation projects carried out by the partner industry by evaluating the biodegradability of some halogenated aromatic compounds, such as dichloroaniline (DCA), and chloroaniline (CA), present in a contaminated site. Through some biodegradability tests, we will verify and better understand how native microbes from the mentioned site […]

COVID-19 pandemic has brought the world to standstill with more than 55 million people infected to-date and more than 1.34 million 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. […]

The use and burning of fossil fuels, such as oil and gas for transportation and industrial activities, are sources of both air pollution and greenhouse gas emissions. While air pollution affects human health, greenhouse gas contributes to climate change. Therefore, reducing fossil fuel use can improve air quality as well as help fight climate change. […]

The expected research seeks to understand the current state of youth sport offerings in Ontario, Canada. Through a survey of youth (ages 6-29), parents and organizations involved with sport in Ontario, the back to play survey aims to understand the current state of youth sport in the aftermath of the COVID-19 pandemic. Access to opportunity, […]

This project aims to develop a new platform for spectroscopic imaging with optics at the nano-scale. It will involve forming a new relationship between Tornado Spectral Systems, RHK Technologies and the Burch group at the University of Toronto. This relationship will combine their unique expertise to achieve a system with unparalleled performance, able to determine […]