The integration of machine learning models and the extraction of meaningful data into industrial workflows continues to accelerate, driving innovation and new business opportunities. Leveraging our expertise in mathematical and statistical modeling, we aim to apply these technologies to address critical challenges in agriculture, where up to 40% of crop yields are lost due to […]

Intern(s) will help Thermweave develop washable fabrics that move heat away from the body with enhanced thermal conductivity. They’ll develop dip-coating recipes that use tiny carbon-based particles, dip common fabrics (cotton, polyester) in them, and fine-tune steps like time, temperature, and drying. The interns will test how well the fabric moves heat, and how it […]

Le projet de Thanos Médical vise à développer une sangle intelligente de rééducation intégrée à un fauteuil roulant à verticalisation assistée. Cette sangle textile multisensorielle permet de mesurer en temps réel les paramètres biomécaniques du patient (tension, posture, pression, mouvement) grâce à des capteurs connectés. Les données sont transmises à une application mobile sécurisée pour […]

This project will explore the market potential of liposome based drug delivery systems for cancer therapeutics. By interviewing cancer patients, clinicians, and experts from the biotech and pharmaceutical industry, we aim to better understand their needs and the challenges they face with current cancer treatments. The insights from this work will help guide with the […]

This project focuses on advancing a novel battery-free, antenna-based sensor platform designed for continuous wireless monitoring in healthcare and environmental applications. The technology enables the creation of thin, flexible, and low-cost “sticker-like” sensors that operate without batteries or wired power. These sensors can detect key parameters such as temperature, humidity, and pH, transmitting real-time data […]

The City of Mirabel is studying new ways to provide safe drinking water for its growing population. This project will look at examples from around the world where treated wastewater is made clean enough to drink. The goal is to determine the best options for Mirabel’s needs so the City can plan future water supplies […]

La pression artérielle (PA) est un indicateur clé de notre santé, mais sa mesure reste souvent ponctuelle et peu représentative de notre quotidien. Ce projet vise à améliorer cette situation grâce à un bracelet intelligent capable de mesurer la PA de manière opportuniste, sans brassard, en utilisant des capteurs comme la photopléthysmographie (PPG). Le stagiaire […]

This project focuses on creating innovative, flexible ways for electricity grid operators and groups managing renewable energy sources like solar panels, wind turbines, and batteries to work together efficiently, even when energy production is unpredictable due to weather or other factors. By reviewing existing research, building computer models for optimal power flow, and testing them […]

This project develops a simulation-based framework to evaluate and optimize the sustainability performance of university value chains, supporting higher education institutions in their transition to net-zero carbon emissions. The primary goal is to systematically identify and prioritize key emission sources and impactful activities within university operations. A comprehensive literature review will inform the analysis of […]

This study focuses on enhancing aviation safety by detecting and analyzing runway incursions—unauthorized entries of aircraft, vehicles, or personnel onto active runways—using high-resolution ADS-B data from Flightradar24 (FR24). Despite existing protocols, such incursions remain a significant threat to air traffic operations. The project aims to develop and validate algorithms capable of identifying critical events, such […]

Global agricultural supply chains face persistent challenges such as unstable supply, uncertain demand, and tariff-related uncertainty that further complicates pricing and network design. This project focuses on the design and optimization of global greenhouse agricultural supply networks under trade policy and market uncertainty. The research aims to improve supply chain profitability, resilience, and adaptability to […]

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]