Overview
Personal profile
I am an engineer with an interest in biomedical signal processing and artificial intelligence, specifically in machine learning and data analysis. The focus of my research activities is on using advanced signal processing and machine learning techniques to understand (patho)physiological processes, as well as to develop new techniques to improve current diagnosis and prognosis. My main line of work has been related to the development of interpretable models and, in recent years, the development of new algorithms for training machine learning models.
Education
PhD, PhD in Engineering
Award Date: 07 Jun 2013
Master, Master in Industrial Control Engineering
Award Date: 17 Dec 2007
Bachelor, Electronic Engineering
Award Date: 10 Dec 2004
Category in the National Science System 2024
- Senior
Associated academic programs
- Bioengineering
- Doctorate in Engineering
- Electronic Engineering
- Mechatronic Engineering
- Mechanical Engineering
- Master's Degree in Bioengineering
- Master's Degree in Artificial Intelligence
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Mapping functional hemodynamic and metabolic responses to dementia: a broadband spectroscopy pilot study
Acharya, D., Butters, E., Caicedo, A., Su, L., O'Brien, J. & Bale, G., 03 Sep 2025, In: Journal of Biomedical Optics. 30, S2, p. S23910-1 - S23910-12 12 p., S23910.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Retrieving interpretability to support vector machine regression models in dynamic system identification
Patiño Guevara, D. A., Caicedo, A., Peña Campos, J. S., Ocampo-Martinez, C., Ramos-Fernández, J. C. & Salas-Brown, M., 19 Dec 2025, In: Frontiers in Artificial Intelligence. 8, 2925, p. 01-18 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Using Broadband Near-Infrared Spectroscopy to Track Multiple Chromophores: Applications in Dementia Diagnosis
Acharya, D., Butters, E., Caicedo, A., Su, L., O’Brien, J. & Bale, G., 18 Dec 2025, Translational Biophotonics: Diagnostics and Therapeutics IV. Huang, Z. & Lilge, L. D. (eds.). SPIE, 139341K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13934).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Unsupervised machine learning for the classification of astrophysical X-ray sources
Pérez-Diaz, V. S., Martinez-Galarza, J. R., Caicedo, A. & D’Abrusco, R., 24 Jan 2024, In: Monthly Notices of the Royal Astronomical Society. p. stae260 20 p.Research output: Contribution to journal › Article › peer-review
13 Scopus citations -
On the compactness and the essential norm of operators defined by infinite tridiagonal matrices
Caicedo, A., Ramos-Fernández, J. C. & Salas-Brown, M., 2023, In: Concrete Operators. 10, 1, 1 p., 20220143.Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Projects
- 1 Active
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Exploración de modelos de inteligencia artificial basados en habla y análisis acústico para la predicción de trastornos neurocognitivos en adultos mayores
Rodríguez-Dueñas, W. R. (PI), Verhelst Forero, P. R. (PI), Caicedo Dorado, A. (CoI) & Assistant, R. (Asis)
01/10/25 → 30/09/27
Project: Research