Machine Learning (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Computer Vision (60 hours, 4th Year - BSc in Computer Science, University of Granada)
Year 2022/2023
Applications of Data Sciences and Intelligent Systems (10 hours, MSc in Data Science and Computer Engineering, University of Granada)
Intelligent Systems Techniques (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Machine Learning (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Computer Vision (30 hours, 4th Year - BSc in Computer Science, University of Granada)
Year 2021/2022
Applications of Data Sciences and Intelligent Systems (10 hours, MSc in Data Science and Computer Engineering, University of Granada)
Intelligent Systems Techniques (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Machine Learning (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Computer Vision (30 hours, 4th Year - BSc in Computer Science, University of Granada)
Information technology fundamentals for biology (30 hours, 1st Year - BSc in Biology, University of Granada)
Year 2020/2021
Applications of Data Sciences and Intelligent Systems (10 hours, MSc in Data Science and Computer Engineering, University of Granada)
Intelligent Systems Techniques (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Machine Learning (60 hours, 3rd Year - BSc in Computer Science, University of Granada)
Artificial Intelligence (30 hours, 2nd Year - BSc in Computer Science, University of Granada)
Computer Vision (30 hours, 4th Year - BSc in Computer Science, University of Granada)
Information technology fundamentals for biology (30 hours, 1st Year - BSc in Biology, University of Granada)
Year 2019/2020
Applications of Data Sciences and Intelligent Systems (10 hours, MSc in Data Science and Computer Engineering, University of Granada)
Intelligent Systems Techniques (30 hours, 3rd Year - BSc in Computer Science, University of Granada)
Year 2018/2019
Applications of Data Sciences and Intelligent Systems (10 hours, MSc in Data Science and Computer Engineering, University of Granada)
Machine Learning (30 hours, 3rd Year - BSc in Computer Science, University of Granada)
Year 2012/2013
Introduction to Programming using MATLAB (20 hours, 1st Year - BSc in Civil Engineering, University of Parma)
Year 2011/2012
Introduction to Programming using MATLAB (20 hours, 1st Year - BSc in Civil Engineering, University of Parma)
Year 2010/2011
Introduction to Programming using MATLAB (10 hours, 1st Year - BSc in Civil Engineering, University of Parma)
Students
Current
PhD Thesis Co-Supervisor (together with Óscar Cordón García): Guillermo Gómez Trenado ("Disruptive approximations to forensic human identification using deep learning"). Becas de Formación del Profesorado Universitario 2019 (2019 FPU Scholarship)
PhD Thesis Co-Supervisor (together with Raúl Moreno Salinas): Marta Fernández Moreno ("Deep learning approaches for image analysis in metallography"). Industrial PhD 2020 - UGR and ArcelorMittal
PhD Thesis Co-Supervisor (together with Julián Luengo): Adrián Peláez Vegas ("Deep learning-based approaches for semantic segmentation in industrial problems"). Industrial PhD 2021 - UGR and ArcelorMittal
PhD Thesis Co-Supervisor (together with Juan Fernández Olivares): Carlos Núñez Molina ("Integrating machine learning and automated planning for goal and actions recommendation")
PhD Thesis Co-Supervisor (together with Sergio Damas Arroyo): Práxedes Martínez Moreno ("New methods based on Artificial Intelligence for forensic human identification using craniofacial superimposition")
PhD Thesis Co-Supervisor (together with Óscar Ibáñez Panizo): Javier Venema Rodríguez ("Computer vision and machine learning techniques for the biological profile estimation of dead and living individuals"). Industrial PhD 2022 - UGR and Panacea
MSc Thesis Co-Supervisor (together with Marilyn Bello): Alejandro Alonso Membrilla ("Bringing interpretability to model-based reinforcement learning techniques").
MSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Adrián José Martínez Navarro ("Performance analysis of neural architecture search techniques for graph neural networks").
MSc Thesis Co-Supervisor (together with Enrique Bermejo): Carlos Pérez Serrano ("Automatic medical image segmentation for forensic human identification").
MSc Thesis Co-Supervisor (together with Sergio Damas Arroyo): Valentino Lugli ("Automatic classification of morphological criteria for age estimation using 3D scans of the pubic symphysis").
MSc Thesis Co-Supervisor (together with Enrique Bermejo): Alejandro Manzanares Lemus ("Automatic segmentation of CBCT images using AI-based methods").
BSc Thesis Co-Supervisor (together with Marilyn Bello and Javier Merí de la Maza): Juan Manuel Rodríguez Gómez ("Mathematical modelling of convolutional neural networks and explainable deep architectures for instance segmentation"). Double Degree in Mathematics and Computer Science
BSc Thesis Co-Supervisor (together with Javier Merí de la Maza): Eduardo Morales ("Exploration of deep neural network training and architecture search through metaheuristic-based approaches"). Double Degree in Mathematics and Computer Science
BSc Thesis Co-Supervisor (together with Guillermo Gómez Trenado and Javier Merí de la Maza): Sergio Quijano Rey ("Age-invariant person re-identification"). Double Degree in Mathematics and Computer Science
BSc Thesis Co-Supervisor (together with Guillermo Gómez Trenado and Javier Merí de la Maza): Carlos Lara Casanova ("Tensor analysis of convolutional neural networks and its application to the estimation of the location of cephalometric landmarks and their visibility"). Double Degree in Mathematics and Computer Science
BSc Thesis Co-Supervisor (together with Óscar Cordón): José Antonio López Palenzuela ("Age estimation from dental radiographs using deep learning")
BSc Thesis Co-Supervisor (together with Óscar Cordón): Javier Moreno Morón ("Predictive models applied to the analysis of the salary of professional football players")
BSc Thesis Co-Supervisor (together with Enrique Bermejo): Iván Salinas López ("Estimation of subject-to-camera distance in facial photographs using deep learning techniques")
Past
BSc Thesis Co-Supervisor (together with Marilyn Bello): Pablo García Sánchez ("Explainable AI techniques for multi-view deep neural networks"). Defended the 23rd of November 2023 at the University of Granada. Final Mark: 10.0/10.0
BSc Thesis Co-Supervisor (together with Enrique Bermejo): Brian Sena Simons ("Biomedical 3D image quality assessment using machine learning"). Defended the 14th of September 2023 at the University of Granada. Final Mark: 10.0/10.0 (with Honors)
BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Laura Sánchez Parra ("Learning graph entropy using Graph Neural Networks, and analysis of Geometric Deep Learning as framework for deep learning models"). Double Degree in Mathematics and Computer Science. Defended the 14th of September 2023 at the University of Granada. Final Mark: 6.7/10.0
BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Israel Puerta Merino ("Development of a video-game and an intelligent agent based on heuristic search, reasoning with constraints and automated planning"). Defended the 11th of September 2023 at the University of Granada. Final Mark: 9.8/10.0
BSc Thesis Co-Supervisor (together with Guillermo Gómez Trenado and Javier Merí de la Maza): Alejandro Borrego Megías ("Few-shot cephalometric landmark localization and analysis of convolutional neural networks"). Double Degree in Mathematics and Computer Science. Defended the 2nd of December 2022 at the University of Granada. Final Mark: 9.4/10.0
MSc Thesis Co-Supervisor (together with Marilyn Bello): Pablo Costa Contreras ("Explaining Siamese Neural Architectures from
Local Perturbations on the Embedding Layer: Methodological Proposal and Experimental Validation on Facial Recognition"). Master in Physics and Mathematics. Defended the 16th of September 2022 at the University of Granada. Final Mark: 10.0/10.0 (with Honors)
MSc Thesis Co-Supervisor (together with Javier Irurita): Javier Venema Rodríguez ("Age estimation in forensic anthropology using deep learning and 3D images of the ribs"). Defended the 14th of September 2022 at the University of Granada. Final Mark: 10.0/10.0 (with Honors)
BSc Thesis Co-Supervisor (together with Enrique Bermejo): Ángel Cabeza Martín ("Generation of 3D facial models from photographs: feasibility study in forensic environments"). Defended the 14th of September 2022 at the University of Granada. Final Mark: 9.6/10.0
BSc Thesis Co-Supervisor (together with Sergio Damas Arroyo): Valentino Lugli ("Automatic classification of morphological criteria for age estimation using 3D scans of the pubic symphysis"). Defended the 13th of September 2022 at the University of Granada. Final Mark: 10.0/10.0 (with Honors). Best UGR BSc Thesis in Computer Science Prize 2023
BSc Thesis Co-Supervisor (together with Andrea Valsecchi): Mario Villar Sanz ("Forensic identification based on face and skull photographies using deep learning"). Defended the 13th of September 2022 at the University of Granada. Final Mark: 9.65/10.0
BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Alejandro Palencia Blanco ("The SAT problem: Stochastic local search heuristics using deep learning techniques and analysis of the computational complexity of its proof systems"). Double Degree in Mathematics and Computer Science. Defended the 7th of September 2022 at the University of Granada. Final Mark: 9.41/10.0
MSc Thesis Co-Supervisor (together with Sergio Damas Arroyo): Carlos Sánchez Muñoz ("Forensic human identification by means of craniofacial superimposition: estimation of soft tissue thickness using machine learning techniques"). UGR Scientific Initiation Scholarship. Defended the 21st of July 2022 at the University of Granada. Final Mark: 9.22/10.0
BSc Thesis Co-Supervisor (together with Óscar Cordón García): Alejandro Manzanares Lemus ("Age estimation from 3D models of the pubic symphysis using deep learning"). Defended the 20th of July 2022 at the University of Granada. Final Mark: 9.65/10.0
MSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Iván Garzón Segura ("Methodology for the Evaluation of Realistic SAT Instance Generators"). UGR Scientific Initiation Scholarship. Defended the 28th of January 2022 at the University of Granada. Final Mark: 9.3/10.0
BSc Thesis Co-Supervisor (together with Andrea Valsecchi): Pedro Jesús Del Río Rot ("Integration and Analysis of an Automatic Craniofacial Superimposition System for Forensic Human Identification"). Defended the 23rd of November 2021 at the University of Granada. Final Mark: 9.5/10.0
BSc Thesis Supervisor: Alejandro Pinel Martínez ("Neural architecture search for the automatic design of convolutional networks. Application to the classification of gastrointestinal lesions"). Defended the 13th of September 2021 at the University of Granada. Final Mark: 9.4/10.0
BSc Thesis Co-Supervisor (together with Javier Irurita Olivares): Javier Venema Rodríguez ("Estimation of the biological profile in forensic anthropology using deep learning techniques. Application to sex estimation in adult individuals from images of the humerus"). Defended the 21st of July 2021 at the University of Granada. Final Mark: 9.33/10.0
BSc Thesis Co-Supervisor (together with Óscar Cordón García): José María Sánchez Guerrero ("Memetic algorithms for the estimation of biophysical parameters from functional MR signals"). Defended the 15th of July 2021 at the University of Granada. Final Mark: 9.5/10.0
MSc Thesis Co-Supervisor (together with Inmaculada Alemán Aguilera and Óscar David Gómez López): Vanessa Velásques Peláez ("Approximation to the use of maxillary sinuses in human identification processes by means of imaging techniques"). Defended the 4th of December 2020 at the University of Granada. Final Mark: 9.7/10.0
BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Melani Álvarez Santos ("Deep Learning techniques applied to the resolution of constraint satisfaction problems"). Double Degree on Mathematics and Computer Science. Defended the 18th of September 2020 at the University of Granada. Final Mark: 7.0/10.0
BSc Thesis Co-Supervisor (together with Javier Irurita Olivares): Raúl Fernández Ortega ("Biological profile estimation in forensic anthropology from osseous images using deep learning"). Defended the 16th of July 2020 at the University of Granada. Final Mark: 9.9/10.0
BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Iván Garzón Segura ("Generation of realistic SAT instances using deep learning"). Defended the 16th of July 2020 at the University of Granada. Final Mark: 9.0/10.0
BSc Thesis Supervisor: Jesús Moyano Doña ("Comparative study of methods for the classification of gastrointestinal lesions in endoscopic videos"). Defended the 15th of July 2020 at the University of Granada. Final Mark: 9.6/10.0
BSc Thesis Co-Supervisor (together with Óscar Cordón García): Ángel Rodríguez Hódar ("Comparative study of real-coded metaheuristics for the estimation of biophyisical parameters in fMRI"). Defended the 14th of July 2020 at the University of Granada. Final Mark: 9.0/10.0
MSc Thesis Co-Supervisor (together with Óscar Cordón García): Guillermo Gómez Trenado ("Image Restauration using Non-Adversarial Networks. Towards a deeper semantic understanding of images"). Defended the 8th of July 2020 at the University of Granada. Final Mark: 9.9/10.0 (with Honors)
PhD Co-Supervisor (together with Óscar Cordón and Óscar Ibáñez): Óscar David Gómez López ("Soft Computing and Computer Vision for Forensic Identification by means of Comparative Radiography"). Defense date: 17th of January 2020. Mark: Summa Cum Laude (Sobresaliente Cum Laude).
MSc Thesis Co-Supervisor (together with Inmaculada Alemán and Óscar David Gómez López): Melisa Silva Vega ("Forensic Identification using Medical Images: Evaluation of techniques for radiological identification using clavicles"). Defended the 19th of September 2019 at the University of Granada. Final Mark: 9.0/10.0
MSc Thesis Co-Supervisor (together with Inmaculada Alemán and Óscar David Gómez López): José Manuel Pérez Jiménez ("Study of the discriminatory power of frontal sinuses in CTs"). Defended the 19th of September 2019 at the University of Granada. Final Mark: 9.8/10.0 (with Honors)
MSc Thesis Co-Supervisor (together with Inmaculada Alemán and Óscar David Gómez López): Andrea Cerezo Vallecillo ("Relevance of frontal sinuses in human identification processes by means of imaging techniques"). Defended the 4th of July 2019 at the University of Granada. Final Mark: 10.0/10.0 (with Honors)
BSc Thesis Co-Supervisor (together with Óscar Cordón): Guillermo Gómez Trenado ("Deep Learning and Forensic Anthropology: revision of the state-of-the-art and application to the localization of cephalometric landmarks"). UGR Scientific Initiation Scholarship. Defended the 25th of June 2019 at the University of Granada. Final Mark: 10.0/10.0 (with Honors)
MSc Thesis Co-Supervisor (together with Xavier Alameda-Pineda): Vadim Sushko ("Gaze Estimation and Gazeable Objects"). Defended the 25th of June 2019 at ENSIMAG (École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble). Final Mark: 17.5/20
BSc Thesis Supervisor: Sergio Martín de la Higuera ("Automatic recognition of knee prosthetic implants in X-ray images using deep learning "). Defended the 26th of June 2019 at the University of Granada. Final Mark: 9.38/10
MSc Thesis Co-Supervisor (together with Óscar Ibáñez): David Urdín ("Estimation of the soft tissue thickness in the head for applications in forensic anthropology"). Defended the 24th of September 2018 at the University of Granada. Final Mark: 9.4/10
MSc Thesis Co-Supervisor (together with Óscar Ibáñez): Daniel Muñoz ("Segmentation of facial anatomical regions in photographs using Deep Learning"). Defended the 17th of September 2018 at the University of Granada. Final Mark: 9.2/10
MSc Thesis Co-Supervisor (together with Julyan Arbel): Mariia Vladimirova ("Wide limit of deep Bayesian neural networks "). Defended the 22nd of June 2018 at ENSIMAG (École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble). Final Mark: 15.5/20
MSc Thesis Co-Supervisor (together with Pedro Javier Herrera Caro): Carlos Otero López ("Automatic Segmentation of X-Ray Images of Knee Prosthetic Implants"). Defended the 2nd of October 2017 at National University of Distance Education (UNED). Final Mark: 8/10.
MSc Thesis Co-Supervisor (together with Radu Horaud): Sylvain Guy ("Visual Voice Activity Detection in the Wild"). Defended the 23rd of June 2017 at ENSIMAG (École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble). Final evaluation: 17.5/20