Detecting Phishing Websites using Machine Learning Techniques

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]

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Vortex Identification Using Machine Learning

Many fluid flows are dominated by the dynamics of vortex formation and convection. Examples of practical importance include flows over aircraft wings/wind turbine blades and environmental flows. Knowledge of vortex parameters such as position, radius, circulation, and convective velocity are needed to understand and predict the influence of vortices on flow development. Although a vortex […]

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Evaluating the effects of motion cues in virtual truck driver training

The use of virtual reality (VR) and realistic real-time graphics has become a critical component in various industries, including aviation. However, the benefits and necessity of full-motion simulators in training remain unclear, especially when considering the fundamental differences between tasks such as flying and driving. This research aims to address the knowledge gap in understanding […]

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Mitigation of Fouling of Tertiary UF Membranes at Low Temperatures

Membranes that are used in wastewater treatment have been found to clog more rapidly at cold temperatures. This study will examine alternative operating strategies that will reduce clogging and thereby reduce the needs for extra energy and chemical consumption under these operating conditions.

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Data-Driven and Synthesis-Guided Generalization in CHC-Solving

The intern will be working on a research project aimed improving scalability and applicability of automated reasoning tool called SPACER by improving the way it deals with special data types. Overall, the goal of this project is to make SPACER a more effective and reliable tool for verifying program correctness.

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Individual problem solving: experiments on open-ended problems

Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants […]

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Building and testing a simulator of human-computer interface for small modular nuclear reactors

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits […]

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Developing a web-based 3D content platform as a Service (PaaS) by improving network capacities and implementing technological solutions to improve 3D capacities

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

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University of Toronto Mississauga Digital Health Technologies Internship

This project will focus on the evolution of data models through the improvement of internal tooling to allow data self-service along with the operationalization of production-grade data pipelines in the field of bioinformatics, due to the immense amount of growth in the volume of data being produced from genome sequencing. With public data repositories that […]

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Jolie Gan – Using Artifical Intelligence (AI) to comparatively analyze social determinants of health affecting market access of cellular agriculture products among rural communities in Canada versus Southeast Asia

An imminent challenge jointly felt in Asia and Canada is the issue of food scarcity, food insecurity, and lack of sustainable food options, particularly in rural communities To mitigate this issue, a number of Asian cellular agriculture companies have developed unique business practices and operating procedures and have created effective alternate market access pathways to […]

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The formation of Li rich pegmatites in northern Ontario

Development of new critical metals deposits are essential for the world to transition to a carbon neutral future. One important type of critical metal is lithium, essential for production lithium-ion batteries which are common in many consumer products including electric cars. This project will use a combination of geological mapping and in situ chemical analyses […]

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