The ESROP Global project with the Innovative Cognitive Computing (IC2) lab aims to implement and develop prior intelligent robotic systems with a focus on effective interactive systems and artificial intelligence integration for multimodal input data. This will be achieved through a combination of diverging as a team to develop extensions of current systems and data […]

This project aims to develop a reliable and easy-to-understand artificial intelligence tool that can help answer medical questions more safely and transparently. By improving how AI systems explain their answers, the project seeks to increase trust among healthcare professionals and patients while reducing the risk of incorrect or biased medical information. The collaboration between the […]

Le bruit à bord des navires pose un enjeu majeur pour le confort des passagers et les conditions de travail des équipages. Une grande partie de ce bruit provient des vibrations générées par des systèmes intégrés tels que les moteurs de propulsion, les systèmes hydrauliques et les équipements électriques. Ces vibrations se propagent à travers […]

La vigilance (la capacité à rester attentif sur de longues périodes) est essentielle dans de nombreux métiers. La fatigue mentale associée à une baisse de vigilance peut augmenter le risque d’erreurs. Il est donc critique de trouver des moyens efficaces pour soutenir l’attention. Ce projet s’intéresse au potentiel de la neurostimulation, plus précisément de la […]

During the stay the intern will be carrying out the following duties and responsibilities: The intern will be engaged in a research project on AI-driven procedural content generation. The intern will explore how artificial intelligence (AI) can be used to automatically generate content such as game levels or puzzles. By combining AI with procedural generation, […]

Online hate is increasingly spread through memes, where harmful meaning comes from the combination of images and text, making it harder to detect than text-only abuse. Through a 12-week research visit to the University of Hildesheim, I will develop and evaluate efficient AI models that can better identify hateful memes across multiple datasets while remaining […]

This project explores two critical areas of AI research: cybersecurity for Internet of Things (IoT) systems and responsible AI assistants for education and research. IoT devices, widely used in healthcare, smart cities, and industry, are highly vulnerable to cyberattacks due to limited resources and large-scale connectivity. We propose AI-based intrusion detection systems that are lightweight, […]

This project aims to build an AI system that can turn regular, human-written math problems and solutions into fully checked, error-free formal proofs, with a special focus on quantum mathematics. The project will collect open-source quantum math problems, train a machine-learning model to translate them into formal proofs using the Lean proof assistant, and create […]

The LoC-SensAl project develops an affordable system to help farmers manage irrigation in real-time using low-cost sensors and Artificial Intelligence (AI). One intern will focus on designing the physical sensors to measure soil moisture, while the other will create AI models to turn that data into precise watering schedules. This technology will help farmers save […]

This project seeks to improve the understanding of how Machine-Learning (ML)-specific code issues arise during software development by using Large Language Models to analyze developers’ code changes over time. An automated framework will be created to track code updates, detect ML-related issues, and identify the type of developer activity (feature development, bug fixing, enhancement, or […]

In the context of developing an academic activity as part of the intern’s postgraduate studies and building a new international research collaboration, the University of Alberta and the Tecnológico de Monterrey propose this research stay project, promoting a strategic initiative of artificial intelligence (AI) and the establishment of Industry 5.0 in fields such as agriculture […]

This project aims to develop Magnetic Resonance Navigation (MRN), an innovative technique for treating liver cancer. MRN uses the magnetic fields of clinical MRI systems to form and guide aggregates of micro-particles toward tumor-feeding arteries using controlled magnetic field gradients and gravity. Compared to current treatments, this approach has the potential to be less invasive […]