Projects - AI.BUAS

Heimdall

In our current situation where seemingly every meeting needs to mention AI to ‘stay relevant’, it can be difficult to call for a reality check. What’s the actual impact of integrating a service? Whoever looks to make a proper decision about the new apps and services is likely to run into a wall of very […]

Analysing EV Batteries with AI

Francisco Ribeiro Mansilha is a third-year Applied Data Science & AI student who recently completed a one-semester work placement at INNER, a start-up based on the High Tech Campus in Eindhoven. INNER is pioneering non-invasive diagnostics for electric vehicle batteries, with the ambitious goal of building a machine capable of scanning an entire car and analysing the battery in detail. Francisco worked as a computer vision intern, applying AI techniques to analyse battery CT scans. Here, he shares insights from his placement experience.

A Student’s Work Placement at Thermo Fisher Scientific

Simona Dimitrova is a third-year Applied Data Science & AI student currently completing a software engineering internship at Thermo Fisher in Eindhoven. As part of the Global TEM Software Integration and Test group, her role has combined hands-on coding, planning, collaboration, and AI integration. In this interview, Simona reflects on the scope of her work, the learning curve, and how the experience has reinforced her career aspirations.

‘Why We Need to Adapt AI Use in Our Curriculum’

Breda University of Applied Sciences (BUas) is at the forefront of integrating artificial intelligence (AI) into education, equipping students with the skills and ethical understanding required for a rapidly evolving technological landscape. Mariana Chinellato Ferreira, Lecturer at the academy for Built Environment and Logistics, and PhD candidate at the University of Coimbra in Portugal, contributes significantly to these efforts.

Detecting Brain Tumors with AI

As third-year Applied Data Science & AI students at Breda University of Applied Sciences (BUas), Francisco Ribeiro Mansilha and Lea Banovac have developed ‘BrainScan AI’, a proof-of-concept web app demonstrating how artificial intelligence can assist in detecting brain tumors from MRI scans. It provides an easy-to-use interface for doctors and researchers to explore brain images and make predictions using AI. The app is designed to classify three types of brain tumors. We caught up with Francisco and Lea to dive deeper into their work and inspirations.

Creating a Data-driven Recruitment Tool for NAC Breda

We sat down with Denys Bespalko, a first-year student in the Applied Data Science & Artificial Intelligence (ADS&AI) study programme at Breda University of Applied Sciences (BUas), to discuss his project for the football team NAC Breda. Denys developed a data-driven tool to help the club make strategic decisions about hiring new players. Here’s what he had to say about his project and his experience.