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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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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Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, […]

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Understanding the concept of ehealth literacy

eHealth literacy is an evolving concept. It influences the development of the content of digital interventions, how individuals interact with the information they receive, and how programmers and information scientists adapt their designs. However, the challenge is that it has no universal definition nor measuring tool. This challenge makes it difficult to compare and communicate […]

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Learning causal world models at scale

In order to navigate the world, an autonomous agent must build a causal model to understand the effects of its actions. In many tasks (automated car driving, automated medicine), collecting causal data, by performing arbitrary actions for the sake of measuring their effect (interventions), can be impractical, expensive and even unethical. On the other hand, […]

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Efficient Avatar Facial Control for Social Presence in Mixed Reality Remote Collaboration

The objective of the research project is to develop a comprehensive framework for avatar-mediated communication in AR/VR environments, with a focus on avatar facial expressions. The framework is intended to enhance the efficiency of communication in Mixed Reality (MR) remote collaboration situations, which can be variously applied to education, industry, and medicine, by providing a […]

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Effects of 2D and 3D Virtual Human on User Experience in XR Environments

This research aims to develop and utilize a virtual human evaluation model using the concept of dimensionality in XR interfaces. The phased goals to achieve the final goal are Research phase 1) Experimental design by designing virtual humans according to dimension levels in XR interfaces and deriving types of usage purposes, Research phase 2) Evaluation […]

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Optical interconnects and intermediate measurements in atomic quantum computers.

A modular quantum computer is a system that utilizes the principles of quantum mechanics to store and process information. Although quantum computers have the potential to offer significantly greater computational power than classical computers, their development is complicated by a lack of scalabil-ity. To address this issue, small quantum processors or modules are employed, which […]

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Dry wearable graphene-based electrodes for multi-lead ECG signal acquisition fabricated by printing technologies

Our proposed research project aims to develop flexible, wearable sensors for monitoring heart health using advanced materials such as graphene and flexible printed electrodes. These sensors will be integrated into a comfortable and non-invasive wearable device that can continuously monitor and track the wearer’s heart health through ECG readings. The device will be designed to […]

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