PhD in Artificial Intelligence
Time series data mining: preprocessing, analysis, segmentation and prediction. Applications. 10 (with High Honors)
Academic profile
Antonio M. Durán-Rosal
Associate Professor in Quantitative Methods at Universidad Loyola Andalucía, working on machine learning, time series data mining, prediction, clustering and segmentation.
His research combines methodological rigor with interdisciplinary applications in renewable energy, atmospheric event detection, healthcare and decision-support systems.
Research areas
- Machine learning
- Time series data mining
- Prediction and segmentation
- Applied artificial intelligence
Academic trajectory
Education
A concise overview of degrees and formal academic training.
MSc in Teacher Training
Probabilidades. 9.33
MSc in Computer Science
Segmentación de series temporales mediante una algoritmo multiobjetivo evolutivo. 9.71
BSc in Computer Science
Academic trajectory
Academic appointments
Positions, institutions and research-oriented professional experience.
Associate Professor
Córdoba, Spain
Researcher (PhD. Grant)
Córdoba, Spain
Researcher (Project Funding)
Córdoba, Spain
Intern collaborator in Department
Córdoba, Spain
Research output
Selected publications
Recent journal papers highlighted from the publication record.
A hybrid optimization and data-driven approach to understand the role of the risk-aversion profile parameter in portfolio optimization problems with shorting constraints
Operations Research Perspectives · Vol. 15 · 100353
JCR(2024): 3.7 Position: 30/106 (Q2) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Global and Diverse Ensemble model for regression
Neurocomputing · Vol. 647 · 130520
JCR(2024): 6.5 Position: 37/204 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks
Scientifc Reports · Vol. 14 · 6961
JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES
Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation
Information Sciences · Vol. 648 · 119606
JCR(2022): 8.1, Position: 13/158 (Q1D1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS
Teaching
Current courses
Active teaching responsibilities from the current academic year.
Machine Learning
MSc. Inteligencia Artificial · Year 1
Técnicas de Análisis Cuantitativo II
MSc. Métodos de Investigación aplicados a las Ciencias Sociales · Year 1
Técnicas de Machine Learning
PhD. Ciencia de los Datos · Year 1
Machine Learning
Ing. Informática y Tecnologías Virtuales · Year 4
Programación Avanzada
Ing. Informática y Tecnologías Virtuales · Year 2
Research activity
Projects and competitive funding
Selected projects, grants and collaboration opportunities.