My research focuses on maximizing the potential of Machine Learning to anticipate potential outcomes and support decision-making in monitoring systems, particularly in scenarios with limited data. In the biomedical field, I have worked on problems such as arrhythmia detection and classification, 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 am particularly interested in developing models that are robust and effective, but also interpretable and easily accessible to non-ML/AI experts.

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. I also love to spread the word about my work and about AI in general. Here you can see past talks and courses.

💬 Feel free to reach out to me if you are interested in my research, looking for colaboration, or are interested in some talks or training for your company/organization.
✉️ 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!