Researcher in Computational Cardiology and Biomedical AI

I am a researcher, professor, and inventor with a background in physical engineering, computational engineering, and applied artificial intelligence. My academic work spans biomedical signal processing, deep learning, scientific computing, and computational modeling.

I am currently a PhD candidate in Information and Communication Technologies at the University of Granada. My research agenda is centered on noninvasive cardiac imaging, electrocardiographic imaging (ECGI), cardiac signal reconstruction, and weak physics-informed learning.

Selected highlights

• Professor and researcher in the Mechatronics Engineering Program at Universidad Mariana.
• Academic experience in Colombia, Spain, and international online teaching environments.
• Research supervision in AI, engineering, and computational methods.
• Inventor of a granted patent in technology development.

Computational Cardiology

ECGI, cardiac electrophysiology, inverse electrocardiography, and noninvasive methods for assessing cardiac electrical activity.

Biomedical AI

Deep learning for biosignals, multimodal learning, sequence modeling, and clinically grounded machine learning for health applications.

Physics-Informed Modeling

Weak physics-informed learning, geometry-aware methods, and robust reconstruction under data scarcity and ill-posed conditions.

Current academic profile

• Professor and Researcher — Mechatronics Engineering Program, Universidad Mariana
• PhD Candidate — Information and Communication Technologies, University of Granada
• Lecturer / Content Contributor — International academic programs in AI and Data Science

Broader experience

My trajectory combines higher education, research supervision, content development, scientific programming, mathematical modeling, and technology-oriented R&D. I have worked across academic and applied environments, including engineering, data science, biomechanics, embedded systems, and biomedical computing.

3D Cardiac Health Analysis

Research project on cardiac health analysis using 3D models of the electrical activity of the heart through electrocardiographic potential mapping.

Arrhythmia Detection with Machine Learning

Application of machine learning techniques for arrhythmia detection in ambulatory electrocardiographic recordings.

Biomedical Signal Acquisition and Processing

Development of signal acquisition and processing systems, including EMG-related hardware and computational tools.

Technology Development

Experience in mathematical modeling, scientific software, image processing, and embedded systems for engineering and industrial applications.

Teaching areas

• Machine Learning
• Image Processing
• Advanced Programming
• Research Methods
• Software Engineering
• Physical Sciences and Mathematics

Mentoring and academic leadership

I have supervised undergraduate theses and graduate dissertations in artificial intelligence, computational engineering, biomedical applications, and applied modeling. My work also includes course design, academic content development, and interdisciplinary mentoring.

Email: dmayorca@umariana.edu.co

Institution: Universidad Mariana

Location: Pasto, Colombia

Links

• Google Scholar
• ORCID
• LinkedIn
• Download full CV