HomeGuard: A Smart Gateway to Protect Smart Home Networks

In this project, the intern student is expected to develop develop a data collection tool that can collect data traffic from IoT devices and label them accordingly. The intern student will then use the tool to collect and label traffic from over 100 IoT devices.

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An Analytical Model of Thickness and Flatness Estimation for Tailor Rolled Blanks

Rolling is an important process in metal forming. Through the rolling process, metal billets are turned into sheets or strips for use or further processing. Due to worsening global environmental conditions and higher demands for industrial products, lightweight design has become a trend in fields like automotive and aerospace. Traditional rolled metal sheets and strips […]

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Cryptographic Verifiable Computing in Networked Control Systems

In Networked Control Systems (NCS), computation is outsourced to an external party, which we call a controller. This type of service has been gaining popularity in recent years. However, there is the threat of the controller wanting to read the commands passed onto it, thus violating confidentiality. To avoid this, we seek to incorporate cryptographic […]

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Study of environmental impact of activity recognition systems

This research project aims to analyze and compare the environmental impact of various architectures used in activity recognition systems, with a focus optimizing the balance between (enough) quality of service (QoS) and sustainability. Specifically, the project will focus on the data life-cycle that flows through the three distinct architectural approaches—device-based, edge-based, and cloud-based— considering the […]

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Application for 5-axis 3D printing project at Concordia University under the supervision of Dr. Tsz Ho Kwok

We aim to develop new techniques in 5-axis Computer Numerical Control (CNC) machining and 5-axis 3D printing, which are advanced methods used in modern manufacturing. Our project focuses on creating collision detection algorithms to prevent accidents with expensive machinery, ensuring safety remains a top priority. We also plan to develop tool path planning algorithms to […]

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RTL Implemetation of an HDC accelerator

This project aims to develop an RTL model for a programmable accelerator for hyperdimensional computing (HDC), a brain-inspired approach that uses high-dimensional vectors for data processing. HDC is particularly suitable for resource-constrained environments because it avoids complex matrix multiplications, relying instead on efficient bitwise operations that can be implemented on hardware like FPGAs or ASICs. […]

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Enhancement of MDAO Framework for Evaluating Fuel-Cell Propulsion and Impact on Aircraft ECS

The proposed project focuses on improving the design and analysis of sustainable aviation technologies by enhancing a Multi-disciplinary Design Analysis and Optimization (MDAO) framework. This framework will be used to evaluate alternative propulsion systems, such as hydrogen fuel cells and hybrid-electric solutions, and assess their impact on aircraft subsystems, including environmental control and thermal management […]

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Désarmer la désinformation climatique : une formation critique de terrain et en ligne pour les jeunes publics

Ce projet propose une formation en ligne axée sur l’esprit critique et la maîtrise de l’information, en mobilisant des disciplines comme la climatologie et les nouvelles technologies. À l’intersection des enjeux contemporains, il aborde des thèmes cruciaux tels que l’infobésité, l’impact de l’intelligence artificielle sur la désinformation, et les fausses informations touchant le climat et […]

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Continuous, Directed Evolution of Human Opioid Receptors in Yeast

Cell-based biosensors are living cells that have been genetically engineered to detect and measure different chemicals of interest. Similar to the cells in our nose that allow us to smell isoamyl-alcohol (banana), or allyl thiol (garlic), biosensors use protein receptors and produce a measurable read-out such as fluorescence to determine the amount of target molecule […]

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Numerical Optimization of Solar Photovoltaic Thermal System Performance and Reliability under Extreme Climate Conditions

Renewable energy based on solar photovoltaic thermal (PV/T) systems is gaining significant attention as an alternative energy source to reduce the global carbon footprint. However, the performance and reliability of these systems can decrease considerably under extreme climatic conditions, such as high and low temperatures and fluctuating humidity levels. Despite this, our understanding of the […]

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A Bot for Patch Linkage Detection In Modern Code Review Platforms

Code review tools are essential in software quality assurance for projects like Android and OpenStack, and companies such as Google and Microsoft. OpenStack alone has over 100,000 contributors and 600+ repositories, where parallel patch submissions often lead to redundant work. Studies indicate that identifying duplicate patches takes, on average, 2.5 reviewers and 5.2 comments per […]

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