My research focuses on maximizing the potential of Machine Learning, particularly in scenarios with limited data, to anticipate potential outcomes and support decision-making in monitoring systems. This includes applications across both biomedical and industrial domains. In the biomedical field, I have worked on problems such as arrhythmia detection and classification, as well as the analysis of X-ray images and functional PET images from patients in deep coma. In the industrial domain, my work has included monitoring and prognostics for lithium-ion batteries, aircraft engines, and industrial fans.

I have a particular interest in developing ML models that are robust and effective but also interpretable and accessible to non-experts, ensuring their practical utility across diverse applications. As an educator, I aim to convey my enthusiasm to students and provide them with the necessary tools to define and pursue their own goals.

💬 Feel free to reach out to me if you are interested in my research, looking for colaboration, or just for some interesting discussion.
✉️ You can shoot me a message at costanahuel@uniovi.es or any of my other social networks, I’ll try to respond as soon as I can!