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Víctor Manuel Vargas was born in Córdoba, Spain. He received the degree of Computer Engineering from the University of Córdoba, Spain, in 2018. Then, he received his master's degree in artificial intelligence research at the International University of Menéndez Pelayo, Spain. He is currently doing his Ph.D. thesis in advanced computing, energy and plasma. He is a member of the AYRNA group of the Department of Computer Science and Numerical Analysis of the University of Córdoba. His current research interests include deep neural networks and their applications to image classification on nominal and ordinal problems.

• Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
• Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers
• Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
• Soft labelling based on triangular distributions for ordinal classification
• Activation functions for convolutional neural networks: proposals and experimental study

• Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP)
• Modelo de emparejamiento donante-receptor en trasplante hepático mediante Inteligencia Artificial con donantes en asistolia
• Métodos de Aprendizaje Profundo en clasificación ORDINAL (MAP-ORDINAL)
• Aprendizaje dinámico de modelos de curvas de infectados y de número de camas hospitalarias y camas UCI ocupadas por COVID-19 en Andalucía mediante técnicas estadísticas y de Inteligencia Artificial
• Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION