In this project, the intern student is expected to investigate the post quantum cryptography (PQC) algorithms for QUIC protocol RFC and integrate them into the QUIC open source code. The student is expected to evaluate the performance of QUIC with the PQC algorithms integrated using a set of criteria.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

This project aims to improve communication between pilots and air traffic control (ATC) by integrating artificial intelligence (AI) and visual aids with traditional voice communication. By using AI to generate real-time visual cues (like text and icons), we hope to reduce misunderstandings and improve situational awareness for pilots. This will help make flying safer and […]

Software systems produce large amount of logs of different types. Event logs and system traces have been the focus of many research for their information content and often machine friendly format; but another type of logs often overlooked are console logs. Parsing console logs presents two main challenges: their formatting is inconsistent and they contains […]

Notre projet vise à développer un mécanisme formel d’aide à la décision, permettant aux développeurs de systèmes informatiques d’optimiser la stabilité de leurs systèmes en considérant leur durabilité économique et environnementale. Ce mécanisme se basera sur les objectives de stabilité des systèmes, les composantes disponibles pour réutilisation et le contexte de développement. Cela permettra d’améliorer […]

Les avancées technologiques dans le séquençage de l’ADN dans les années 1980 ont provoqué un changement transformateur en biologie évolutive. Cette période a donné naissance au domaine de la phylo-géographie, introduit par John Avise et ses collègues il y a un peu plus de trois décennies. Cette discipline intégrative explore les liens complexes entre l’histoire […]

Visual regression testing automatically analyzes gameplay sessions to detect visual bugs (also known as glitches in a game context). Visual bugs are bugs that can be detected by just looking at them, such as those related to texture and lighting, but also more complex ones like those related to the physics engine (such as a […]

This project aims to explore how state-of-the-art deep learning models can accurately identify and label musical sections like the “verse” and “chorus” across various musical genres. The research will begin by examining available datasets for music structural segmentation, as well as recent deep learning methods suitable for this data. Following the exploration of available data […]

Just Sales Jobs prioritizes quality candidates and collaborates with clients to positively impact their businesses. Sales recruiting is a challenging task due to its labor-intensive nature and reliance on recruiters’ experience and skills. Just Sales Jobs aims to enhance their recruiting process by integrating Artificial Intelligence (AI) and Machine Learning (ML) technologies through a partnership […]

A unified dataset from disparate data sources is the ideal solution for many organizations and data teams alike. In this project, we propose to create an automated methodology using a combination of traditional SQL, graph and vector databases to combine and store data along with developing modeling techniques using machine and deep learning to automate […]

La transformation numérique des entreprises a connu une grande accélération ces derniers mois. Les bénéfices escomptés sont multiples, allant d’une augmentation de la productivité à un meilleur service client, en passant par une réduction des échanges papiers, ce qui est bénéfique pour l’environnement. La transformation numérique des entreprises, soit l’ajout de nouvelles technologies et/ou nouveaux […]