We developed and evaluated DL models to enhance resolution and diagnostic quality. Results presented and published.
Biomedical Engineering, AI and Software applied to Healthcare
We design and deliver solutions with real impact: medical image super-resolution, clinical NLP, and robotics/IoT for home care.
Location: Málaga, AndalusiaEmail: alvaroreyb@protonmail.com
Specialization: AI, Software, Biomedical Engineering
About
Biomedical Engineer with experience in machine learning and deep learning applied to healthcare. In my BSc thesis (Honors, 9.7), we worked on super-resolution for knee imaging. Currently, within the Vivir en Casa project, we research robotics and IoT for home care, improving quality of life for dependent people and organizing scientific outreach events. In parallel, I completed the MSc in Software Engineering and AI (current GPA 8.7/10), focusing my Master’s thesis on oncology event detection with clinical NLP.
Projects
Pipeline with XLM-R and Spanish biomedical models to detect recurrence in clinical texts. Focus on cross-validation and F1.
Data analysis and relationships between air/rail mobility and tourism, with provincial and temporal focus.
Registration management · Visit bookings · Conference talks
We created an automated control system (simulation) to manage airtraffic in airports. Airports agents have the capacity to learn and improve
Experience
University of Málaga · Málaga
- Robotics and IoT for home care, integration and interoperability.
- Device evaluation and user experience.
- Organization of international conferences and workshops.
- Math and English tutoring; tailored learning materials.
- Student follow-up and methods to maximize performance and motivation.
Education
Additional Training
- Cybersecurity: Honeypots and Honeynets — University of Málaga (12/2023)
- Data Analysis with Python — University of Málaga (10/2023)
- Deep Learning with MATLAB — MathWorks Academy (09/2023)
- Machine Learning with MATLAB — MathWorks Academy (09/2023)
Rey-Blanes, A., & Domínguez, E. (2024, August). Applying Deep Learning Based Super-Resolution to Knee Imaging . International Conference on AI in Healthcare (pp. 77-88). Springer Nature Switzerland.