Emilio Delgado

Emilio Delgado

Researcher at the University of Extremadura, specializing in Machine Learning and Deep Learning for healthcare. His work focuses on applying advanced AI techniques to process and analyze large-scale clinical and medical imaging data, aiming to improve healthcare outcomes and quality of life. Passionate about optimizing deep learning algorithms for medical applications, Emilio is committed to innovation, accuracy, and data privacy in AI-driven healthcare solutions.

Emilio Delgado

I am Emilio Delgado, currently a PhD student in the Department of Computer and Telematic Systems Engineering at the University of Extremadura. My research is carried out in collaboration with the Jesús Usón Minimally Invasive Surgery Centre, a leading institution. I am passionate about working at the intersection of computer science, telematics, and engineering, with a special focus on optimizing energy efficiency in buildings and improving quality of life through advanced technological solutions.

Academic Background and Affiliations

I am currently pursuing my PhD at the University of Extremadura, where I actively contribute to research in my field. The collaboration with the Jesús Usón Minimally Invasive Surgery Centre reflects my interest in applying knowledge to real-world problems, especially in the field of medical technology.

My academic background includes:

  • University of Extremadura
    • PhD in Artificial Intelligence
    • Period: September 2023 - September 2026
  • UNIR - International University of La Rioja
    • Master’s in Artificial Intelligence
    • Period: October 2022 - July 2023
    • Average grade: 9.49
    • Description: The master’s allowed me to explore fundamental areas of AI: computer vision, machine learning techniques, natural language processing (NLP), statistics, and Python programming. I also delved into the ethical aspects of AI and carried out practical projects, from expert systems to computer vision models. The master’s thesis focused on medical image processing.
    • Skills: Time series, AIOps, Python, data analysis, R, data structures, PyTorch, predictive models, machine learning, NLP, Google Cloud, Keras, MLOps, AWS, analytical skills, statistics, research.
  • UNIR - International University of La Rioja
    • Advanced Course in Data Analyst and Data Visualization
    • Period: October 2022 - July 2023
    • Average grade: 8.35
    • Skills: Mathematical models, time series, AIOps, statistical models, data analysis, R, data structures, predictive models, D3.js, NLP, Tableau, PowerBI, statistics.
  • University of Extremadura
    • Bachelor’s in Software Engineering
    • Period: 2018 - 2022
    • Average grade: 8.33
    • Skills: Time series, Python, problem solving, C, Java, data structures, metamodeling, NoSQL, collaborative work, artificial intelligence, JavaScript, SQL, C++.

Research Interests

My research interests are varied and cover several key areas:

  • Medical image processing: I research advanced techniques for the analysis of medical images, including:
    • Segmentation: Automatic identification and delineation of structures in images (CT, MRI, US).
    • Synthetic data generation: Creation of artificial datasets to train AI models, especially useful when real data is scarce.
    • Adaptability to different problems and medical imaging modalities.
  • Human anatomy modeling: Currently focused on detailed heart models, with the possibility of expanding to other structures.

Publications

Some of my recent publications (from my Google Scholar profile) are:

  • Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt (Year: 2025)
  • No More Training: SAM’s Zero-Shot Transfer Capabilities for Cost-Efficient Medical Image Segmentation (Year: 2024)
  • Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID‐19 lung infection segmentation in computed tomography images (Year: 2024)

Talks and Presentations

(Coming soon: information about presentations at academic or professional events.)

Teaching Activity

(In this section I will add details about my participation in teaching, tutoring, or project supervision.)

Volunteering Experience

I have participated in the following volunteering activities:

  • Guest Researcher
    • University of Extremadura
    • Period: September 2023 - 1 month
    • Area: Art and culture
    • Details: Generative art with AI workshop as part of the European Researchers’ Night.
  • Staff
    • DevopsDays Cáceres
    • Period: October 2024 - 1 month (Note: the year may be an error, probably 2023 or recent if the event has already taken place)
    • Area: Science and technology
    • Details: Participation as staff at DevopsDays Cáceres.

Interests

Beyond academia, I nurture passions that fuel both my creativity and curiosity:

  • Tech Explorer: I thrive on diving into new technologies, programming languages, and unconventional methodologies—always seeking that “aha!” moment when a fresh tool unlocks a new solution.
  • Vibe Coding Enthusiast: For me, coding is more than syntax—it’s about crafting an environment where music, mood, and flow converge to spark innovation and joy. I believe the right vibe can turn any coding session into a creative jam.
  • Vertical Adventurer: Whether scaling a climbing wall or shooting hoops on the basketball court, I find inspiration and balance in movement, challenge, and teamwork.
  • Guitar Storyteller: My guitar is my companion for unwinding and self-expression, letting melodies and riffs tell stories words sometimes can’t.

Projects

These are some of the projects I have participated in or am involved with:

  • Tricuspid valve modeling: Project focused on creating models of the tricuspid valve.
  • Atrial fibrillation modeling: Project focused on models related to atrial fibrillation. (I will be able to add more information about these and other projects, including objectives, methodologies, and results.)

Future Lines

(In this section I will include research areas or projects that I plan to explore in the future.)