Le projet a pour objectif de renforcer le procédé d’extrusion de pièces en aluminium pour améliorer la productivité, augmenter la complexité des formes et garantir les performances mécaniques des profilés. Caractériser l’anisotropie des profilés extrudés en alliages d’aluminium (AA6063 et AA6082) fabriqués dans différentes conditions. Pour ce faire, il faudra effectuer des essais de micro […]

While OLED displays are now a relatively-mature technology, they have been almost exclusively targeting consumer electronics. As such, the ultimate goal of this ambitious collaboration will be to: Evaluate the technology and supply chain readiness of actual OLED and other emerging display technologies. Assess their potential for cockpit (critical) and cabin (passenger-level) aeronautics and train […]

To meet CAFE standards for fuel economy, many new projects are being undertaken. One such method being investigated to achieve these standards is vehicle lightweighting. Each lightweighting project has an associated cost and will have an impact on various functional groups of the vehicle. During this internship, the related functional benefits of lightweighting will be […]

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]

Mxpert is working on a project to create a new system that makes it easier for auto repair shops to connect with their customers. This system will help shops schedule appointments, send reminders, and keep customers updated in a really simple and automatic way. For the repair shops that work with us, this means less […]

The proposed project aims to develop an electroless nickel-phosphorus composite coating for tire molds to address common issues such as product sticking and damage during demolding. By applying this coating, we aim to provide semi-permanent protection and anti-sticking properties to the molds, reducing the need for frequent application of releasing agents. This innovation is expected […]

In-vehicle networks of modern automobiles, particularly Controller Area Networks (CAN), are vulnerable to cyberattacks which can cause dangerous accidents. There are many CAN intrusion detection systems (IDS) that use different techniques and features. While there are several CAN datasets available from real vehicles and CAN testbeds, we identify a lack of datasets containing signals decoded […]

Nowadays, leveraging advanced technologies like Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs) such as GPT, holds promise in revolutionizing safety measures and resource optimization. However, while these general-purpose LLMs excel in various tasks, they may lack context specificity. Domain-specific LLMs, such as those tailored for biomedicine and transportation, are emerging to address this […]

Driving automation is becoming increasingly available with the advancement in sensors and computational power. The next generation, i.e., conditional automation, allows drivers to engage in other activities like sleeping. If the system cannot operate in certain conditions due to limitations, the driver is required to takeover vehicle control. However, sleepy drivers might not be fit […]

Autonomous vehicles (AVs) promise to enhance safety, reduce emissions, and improve transportation system efficiency and reliability. The growing demand for AVs is shaping the future of the automotive industry by transforming the in-vehicle experience and paving the way for large-scale implementation of autonomous driving. AV technology requires onboard intelligence relying on sensors and systems such […]

The proposed research project seeks to define the environmental advantages and cost challenges associated with the design of two types of alternative fuel vehicles; battery electric and bi-fuel CNG + gasoline, with respect to a changing American market. These alternative fuel vehicles will be compared to traditional internal combustion vehicles and assessed based on the […]

Typical natural language understanding (NLU) models like the ones deployed in virtual assistant (VA) systems are designed to work for a finite set of pre-defined domains. Ideally, if the text representation of a spoken utterance does not belong to the supported set of domains the NLU model would produce a response with low confidence score […]