During his first year at Åbo Akademi University as part of the Erasmus Mundus EDISS programme, Armando immersed himself in a dynamic environment defined by innovation, networking, and hands-on learning. His academic work focused on medical image analysis for breast cancer diagnosis, covering both segmentation and classification tasks. He also prepared for an upcoming role in a neurotechnology company, where he will develop cloud-based brain signal analysis models for sleep stage classification, with the goal of deploying the AI solution on edge devices.
The programme’s strong emphasis on real-world engineering requirements was reinforced through courses such as Edge Computing for Machine Learning, Parallel Programming, and GPU Programming, combined with studies in machine learning and data science. Deepening his long-standing interest in neurotechnology, he participated in a spring school on brain–computer interfaces and pursued additional coursework in biosignal analysis.
Beyond academics, Åbo Akademi and the EDISS community provided a supportive, multicultural environment where he could share his passions and exchange perspectives. For him, the unique integration of advanced engineering and AI within the EDISS curriculum was the decisive factor in choosing the programme — and remains the foundation of a rewarding and transformative first-year experience.
Last updated on 25 December 2025
