Last update: December 22, 2020 1 of 12

Pablo Mesejo Santiago

CONTACT INFORMATION

Place/Date of Birth: A Coruña (Spain), 26-8-1981

Nationality: Spanish

Address: Office 1.10, Edificio Auxiliar, Escuela Técnica Superior de Ingenierías Informática y de

Telecomunicación, Calle Periodista Juan Osorio Bueno, 18014 Granada, Spain

E-mail: pablomesejo@gmail.com | pmesejo@decsai.ugr.es | pmesejo@ugr.es

Telephone: +34 628439798

Skype ID: pmesejo

ORCID: 0000-0001-9955-2101

ResearcherID: K-4589-2014

SCOPUS Author ID 37108185800

Webpage: https://www.ugr.es/~pmesejo/

EDUCATION

2013 – PhD in Computer Science at the Department of Information Engineering of the University of Parma (UniPR), Italy.

Marie Curie Researcher within the 7th Framework Program Initial Training Network MIBISOC: Medical Imaging using Bio-

Inspired and Soft Computing (GA n. 238819). PhD Thesis: “Automatic Segmentation of Anatomical Structures using Deformable

Models and Bio-Inspired/Soft Computing” (https://hal.inria.fr/tel-01363683). Final mark: 10.0/10.0 (Excellent). PhD Thesis focused on the automatic segmentation of anatomical structures in biomedical images (mainly brain microscopy images, but also

CT and brain T1-weighted MRI) using computer vision and artificial intelligence techniques. In particular, the main subject of the

dissertation was the segmentation of brain structures by means of deformable models (active shape models, level set method), bio-inspired/soft computing (mainly swarm and evolutionary computation) and machine learning methods (ensemble classifiers).

I was 1 of the 16 researchers selected among more than 100 candidates for the MIBISOC project. Supervisor: Dr. Stefano Cagnoni. PhD

committee: Óscar Cordón (University of Granada), Andrea Prati (University of Venice), and Leonardo Bocchi (University of Florence).

2010 – Postgraduate Degree in Bioinformatics: Genomics and Structural Biology (750 hours) at the Open University of

Catalonia (UOC), Spain. Final Mark: A (Excellent). The main tackled topics were the following: Fundamentals of Molecular Biology, Computational Genomics, Structural Biology, Functional

Genomics and Microarray Data Analysis.

2009 – MSc in Computer Science at the University of A Coruña (UDC), Spain. Master Thesis: “Performance Optimization

and Analysis of Neuron-glia Connectionist Systems”. Final mark: 10.0/10.0 (Excellent with Honors). A comparative study between Artificial Neuron-Glia Networks and Artificial Neural Networks (Multi-Layer Perceptron) when solving

classification problems was carried out, as well as the design and implementation of an optimization method for glial parameters using

cooperative co-evolutionary genetic algorithms. I obtained 1 of the 3 best marks among 26 computer scientists defending their Master Thesis dissertation in September 2009. Supervisors:

Dr. Ana Belén Porto (UDC) and Oscar Ibañez (European Center for Soft Computing). Master Thesis committee: Ricardo Cao Abad, Vicente

Moret Bonillo, Daniel Rivero Cebrián, Xoán Carlos Pardo Pardo, and Francisco Javier Nóvoa de Manuel.

EMPLOYMENT HISTORY

July 2020 – currently

Researcher at the SCI2S research group (Soft Computing and Intelligent Information Systems) of the University of Granada (Spain)

in collaboration with Dr. Óscar Cordón, Dr. Sergio Damas, and Dr. Manuel Chica. My work is mainly related with the development

and application of artificial intelligence techniques for understandable agent-based social simulation of complex marketing systems.

April 2018 – May 2020 (2 years and 1 month)

Marie Curie Experienced Researcher at the SCI2S research group (Soft Computing and Intelligent Information Systems) of the

University of Granada1 (Spain) in collaboration with Dr. Óscar Cordón. Teaching Assistant of Machine Learning, Intelligent

Systems Techniques, and Computational Forensics at the Department of Computer Science and Artificial Intelligence. My work is

mainly related with the development and application of soft computing and computer vision techniques for comparative radiography

in forensic identification. Marie Curie Standard Individual Fellowships, like the one I have, are highly competitive research grants

that, in the H2020-MSCA-IF-2016 call, presented a 13.10% success rate. In turn, the UGR is one of the top institutions in computer

science and engineering (ranked 1st in Spain and 33rd in the world according to the Academic Ranking of World Universities 2017).

Co-founder, partner and R&D co-director of Panacea Cooperative Research (an SME focused on finding intelligent solutions to

solve unmet biomedical needs).

September 2016 – March 2018 (1 year and 7 months)

Starting Researcher Position at the PERCEPTION team (Interpretation and Modeling of Images and Videos) of Inria Grenoble

Rhône-Alpes (France)2 in collaboration with Dr. Radu Horaud. My work was mainly related with the ERC Advanced Grant number

340113 entitled "Vision and Hearing In Action" (VHIA), and in particular with the integration of deep learning into probabilistic

1 The School of Computer Science of the University of Granada is commonly ranked as one of the top institutions in computer science in the world:

http://www.ugr.university/pages/ugr_news/rankings2016_2017 2 Inria is one of the top institutions in computer science (http://archive.sciencewatch.com/inter/ins/08/08octTOP20COM/) and mathematics

(https://www.timeshighereducation.co.uk/news/top-institutions-in-mathematics/416399.article) in the world.

Last update: December 22, 2020 2 of 12

generative models for visual and audio recognition. My closest collaborators during this period were Radu Horaud, Stéphane

Lathuilière, Xavier Alameda-Pineda, Benoit Massé and Sylvain Guy.

September 2014 – August 2016 (2 years)

Postdoctoral researcher at the MISTIS team (Modeling and inference of complex and structured stochastic systems) of Inria

Grenoble Rhône-Alpes in collaboration with Dr. Florence Forbes and Dr. Jan M. Warnking, working on the estimation of biophysical

parameters from fMRI signals through evolutionary-based optimization to study brain function.

September 2013 – July 2014 (11 months)

Postdoctoral researcher at the ALCoV team (Advanced Laparoscopy and Computer Vision) of the ISIT lab (Image Sciences for

Interventional Techniques, UMR 6284 – CNRS) in the Faculty of Medicine of the University of Auvergne Clermont-Ferrand I

(France). I have been working on deformable feature-based image registration and 3D measurement and characterization of

neoplasias from endoscopic images under the supervision of Dr. Adrien Bartoli. My work was mainly carried out in collaboration

with Adrien Bartoli, Daniel Pizarro, and Toby Collins.

July 2010 – July 2013 (3 years)

Marie Curie Researcher at the IBISlab (Intelligent Bio-Inspired Systems laboratory) of the University of Parma (Italy) working on

biomedical image segmentation under the supervision of Dr. Stefano Cagnoni. Member of the Network Supervisory Board of the

MIBISOC Project (Medical Imaging using Bio-Inspired and Soft Computing). Teaching Assistant at the Department of Information

Engineering. My closest collaborators during this period were Stefano Cagnoni, Roberto Ugolotti and Youssef S.G. Nashed.

February 2010 – May 2010 (4 months)

Research Assistant at the ATIS Group (Advances in Telemedicine and Health Informatics) of the University Hospital Complex of A

Coruña (Spain) working on software development using Microsoft Office Sharepoint Server 2007.

May 2006 – December 2007 (1 year and 8 months)

Research Assistant at the RNASA group (Artificial Neural Networks and Adaptive Systems) within a project for the Research

Service of the University Hospital Complex of A Coruña working on medical image registration (in particular 2D polyacrylamide gel

electrophoresis).

RESEARCH INTERESTS

Machine Learning; Biomedical Image Analysis; Computer Vision; Deep Learning; Computational Intelligence; Artificial Intelligence

in Medicine and Biology; Stochastic Optimization; Metaheuristics.

My research career is devoted to analyze and design machine learning, computer vision and computational intelligence methods able

to solve, mainly but not exclusively, biomedical image analysis problems. Typical tools I use in my research are stochastic

optimization algorithms, deep and shallow neural networks, and ensemble classifiers. Throughout my career I have faced numerous

challenging problems, like the automatic segmentation of anatomical structures in biomedical images (PhD at University of Parma,

performed with a Marie Curie fellowship), the classification of gastrointestinal lesions from endoscopic videos (postdoc at University

of Auvergne Clermont-Ferrand I), the estimation of biophysical parameters from fMRI signals (postdoc at Inria), and the integration

of deep learning into probabilistic generative models for visual and audio recognition in human-robot interaction (starting researcher

position at Inria), among others.

PUBLICATIONS

SCI-JCR indexed journal papers

Fernández, R., Estévez, E.J., Irurita, J., and Mesejo, P., “Analysis of the performance of machine learning and deep learning methods

for sex estimation of infant individuals from the analysis of 2D images of the ilium”, submitted to Forensic Science

International. (IF2019: 2.108 (Q1), 3rd/16 in subject category MEDICINE, LEGAL)

Gómez, Ó., Mesejo, P., Ibáñez, Ó., and Cordón, Ó., “Deep architectures for the segmentation of frontal sinuses in X-Ray images:

towards an automatic forensic identification system in comparative radiography”, accepted at Neurocomputing, Special Issue

on "Hybrid Artificial Intelligent Systems", Elsevier, 2020 (IF2019: 4.438 (Q1), 28th/137 in subject category COMPUTER

SCIENCE, ARTIFICIAL INTELLIGENCE)

Lathuilière, S., Mesejo, P., Alameda-Pineda, X., and Horaud, R., “A Comprehensive Analysis of Deep Regression”, IEEE

Transactions on Pattern Analysis and Machine Intelligence 42 (9), 2065-2081, IEEE, August – 2020 (IF2019: 17.861 (Q1),

Last update: December 22, 2020 3 of 12

1st/137 in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 2nd/266 in subject category

ENGINEERING, ELECTRICAL & ELECTRONIC)

Mesejo, P., Martos, R., Ibáñez, Ó., Novo, J., and Ortega, M., “A Survey on Artificial Intelligence Techniques for Biomedical Image

Analysis in Skeleton-based Forensic Human Identification”, Applied Sciences 10 (14), 4703, Special Issue "Computer-aided

Biomedical Imaging 2020: Advances and Prospects", Multidisciplinary Digital Publishing Institute, July – 2020 (IF2018:

2.217 (Q2), 67th/148 in subject category PHYSICS, APPLIED; Q3, 89th/172 in subject category CHEMISTRY,

MULTIDISCIPLINARY; Q3, 151st/293 in subject category MATERIALS SCIENCES, MULTIDISCIPLINARY)

Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “Deep architectures for high-resolution multi-organ chest X-ray

image segmentation”, Neural Computing & Applications 32, 15949–15963, Special Issue on "Recent Advances in Deep

Learning for Medical Image Processing and Health Informatics", Springer, October – 2019 (IF2018: 4.664 (Q1), 21st/134 in

subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)

Valsecchi, A., Irurita, J., and Mesejo, P., “Age estimation in forensic anthropology: methodological considerations about the

validation studies of prediction models”, International Journal of Legal Medicine 133, 1915–1924, Springer, May – 2019

(IF2018: 2.094 (Q1), 4th/17 in subject category MEDICINE, LEGAL)

Lathuilière, S., Massé, B., Mesejo, P., and Horaud, R., “Neural Network based Reinforcement Learning for Audio-Visual Gaze

Control in Human-Robot Interaction”, Pattern Recognition Letters, Special Issue on “Cooperative and Social Robots:

Understanding Human Activities and Intentions”, volume 118, 61-71, Elsevier, February – 2019 (IF2018: 2.810 (Q2),

50th/133 in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)

Mesejo, P., Pizarro, D., Abergel, A., Rouquette, O., Beorchia, S., Poincloux, L., and Bartoli, A., “Computer-Aided Classification of

Gastrointestinal Lesions in Regular Colonoscopy”, IEEE Transactions on Medical Imaging 35 (9), 2051-2063, IEEE,

September – 2016 (IF2016: 3.942 (Q1), 10th/77 in subject category ENGINEERING, BIOMEDICAL, 17th/127 in category

RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING, 4th/26 in subject category IMAGING SCIENCE &

PHOTOGRAPHIC TECHNOLOGY, 36th/262 in subject category ENGINEERING, ELECTRICAL & ELECTRONIC, and

3rd/105 in subject category COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)

Mesejo, P., Ibáñez, O., Cordón, O., and Cagnoni, S., “A Survey on Image Segmentation using Metaheuristic-based Deformable

Models: State of the Art and Critical Analysis”, Applied Soft Computing 44, 1-29, Elsevier, July – 2016 (IF2016: 3.541 (Q1),

21st/133, category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, and 14th/105, category COMPUTER

SCIENCE, INTERDISCIPLINARY APPLICATIONS)

Mesejo, P., Saillet, S., David, O., Bénar, C., Warnking, J., and Forbes, F., “A Differential Evolution-based Approach for Fitting a

Nonlinear Biophysical Model to fMRI BOLD Data”, IEEE Journal of Selected Topics in Signal Processing 10 (2), 416-427,

IEEE, March – 2016 (IF2016: 5.301 (Q1), 18th/262, category ENGINEERING, ELECTRICAL & ELECTRONIC)

Mesejo, P., Valsecchi, A., Marrakchi-Kacem, L., Cagnoni, S., and Damas, S., “Biomedical Image Segmentation using Geometric

Deformable Models and Metaheuristics”, Computerized Medical Imaging and Graphics 43, 167-178, Elsevier, July – 2015

(IF2015: 1.385 (Q3), 51st/76 in subject category BIOMEDICAL ENGINEERING and 93rd/124 in RADIOLOGY,

NUCLEAR MEDICINE & MEDICAL IMAGING)

Mesejo, P., Ibáñez, O., Fernández-Blanco, E., Cedrón, F., Pazos, A., and Porto-Pazos, A., “Artificial Neuron-Glia Networks

Learning Approach Based On Cooperative Coevolution”, International Journal of Neural Systems 25 (4): 1550012, World

Scientific, April – 2015 (IF2015: 6.085 (Q1), 2nd/130 in subject category COMPUTER SCIENCE, ARTIFICIAL

INTELLIGENCE)

Ugolotti, R.*, Mesejo, P.*, Zongaro, S., Bardoni, B., Berto, G., Bianchi, F., Molineris, I., Giacobini, M., Cagnoni, S., and Di Cunto,

F., ”Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline

Hippo-ATESC”, PLoS ONE 8 (9): e74481.doi:10.1371/journal.pone.0074481, Public Library of Science, September – 2013

(IF2013: 3.534 (Q1), 8th/55 in subject category MULTIDISCIPLINARY SCIENCES) *These authors contributed equally to

this work.

Ugolotti, R., Nashed, Y.S.G., Mesejo, P., Ivekovič, S., Mussi, L., and Cagnoni, S., “Particle Swarm Optimization and Differential

Evolution for Model-based Object Detection”, Applied Soft Computing 13 (6), 3092-3105, Elsevier, June – 2013 (IF2013:

2.679 (Q1), 20th/121 in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)

Mesejo, P., Ugolotti, R., Di Cunto, F., Giacobini, M., and Cagnoni, S., “Automatic Hippocampus Localization in Histological

Images using Differential Evolution-Based Deformable Models”, Pattern Recognition Letters 34 (3), 299-307, Elsevier,

February – 2013 (IF2013: 1.062 (Q3), 71st/121 in subject category COMPUTER SCIENCE, ARTIFICIAL

INTELLIGENCE)

Porto-Pazos, A.B., Veiguela, N., Mesejo, P., Navarrete, M., Alvarellos, A., Ibáñez, O., Pazos, A., and Araque, A., “Artificial

Astrocytes Improve Neural Network Performance”, PLoS ONE 6 (4): e19109, Public Library of Science, April – 2011

(IF2011: 4.092 (Q1), 12th/85 in subject category BIOLOGY)

Conference papers

Lathuilière, S., Guy, S., Mesejo, P., and Horaud, R., “Learning Visual Voice Activity Detection with an Automatically Annotated

Dataset”, accepted at the 25th International Conference on Pattern Recognition (ICPR'20), Milan (Italy), January - 2021

(CORE2018 B, GGS rating A-, first round acceptance rate ~30%)

Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “A real-coded evolutionary algorithm-based registration approach

for forensic identification using the radiographic comparison of frontal sinuses”, 22nd IEEE Congress on Evolutionary

Computation (IEEE CEC’20), Glasgow, July-2020 (CORE2018 B, GGS rating A-)

Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., Cerezo, A., Pérez, J.M., Alemán, I., and Cordón, Ó., "Automatic segmentation of

skeletal structures in X-ray images using deep learning for comparative radiography", accepted for oral presentation at 9th

Annual Congress of the International Society of Forensic Radiology and Imaging (ISFRI'20), Albuquerque (USA), May 14-

16, 2020. Cancelled due to COVID-19. 2020 ISFRI Prize

Gómez, Ó., Ibáñez, Ó., Mesejo, P., Valsecchi, A., Cerezo, A., Pérez, J.M., Alemán, I., and Cordón, Ó., "Towards a computer-aided

decision support system for comparative radiography", accepted for oral presentation at 9th Annual Congress of the

International Society of Forensic Radiology and Imaging (ISFRI'20), Albuquerque (USA), May 14-16, 2020. Cancelled due

to COVID-19.

Last update: December 22, 2020 4 of 12

Ibáñez, Ó., Corbal, I., Gómez, I., Gómez, Ó., González, A., Macías, M., Prada, K., Valsecchi, A., and Mesejo, P., "Skeleton-ID:

Artificial Intelligence at the service of Forensic Anthropology", 11th International Scientific Meeting of the Spanish

Association of Forensic Anthropology and Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019

Gómez, Ó., Ibáñez, Ó., Mesejo, P., Valsecchi, A., and Cordón, Ó., “Towards a computer-aided decision support system for

comparative radiography”, 11th International Scientific Meeting of the Spanish Association of Forensic Anthropology and

Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019

Gómez, G., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., "Automatic localization of cephalometric landmarks using

convolutional networks", 11th International Scientific Meeting of the Spanish Association of Forensic Anthropology and

Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019

Irurita, J., Valsecchi, A., Mesejo, P., and Alemán, I., “Improvement of a method for estimating dental age in children through the use

of learning algorithms”, 21st Congress of the Spanish Society of Physical Anthropology (SEAF’19), Granada (Spain), June

24-26, 2019

Vladimirova, M., Verbeek, J., Mesejo, P., and Arbel, J., “Bayesian neural network priors at the level of units”, 12th International

Conference on Bayesian Nonparametrics (BNP’12), Oxford (UK), June – 2019

Vladimirova, M., Verbeek, J., Mesejo, P., and Arbel, J., “Understanding Priors in Bayesian Neural Networks at the Unit Level”,

International Conference on Machine Learning (ICML'19), Long Beach (USA), June - 2019 (CORE2018 A*, GGS rating

A++, acceptance rate ~23%)

Fernández, E., Valsecchi, A., Ibáñez, Ó., and Mesejo, P., “Estimating subject-to-camera distance in facial images using Deep

Learning”, accepted for a Podium presentation at the 18th Biennial Meeting of the International Association of Craniofacial

Identification (IACI) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-

organized then as "IACI 2019 Online Symposium"

Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “Automatic segmentation of skeletal structures in x-ray images

using deep learning: Towards a computer-aided decision support system for comparative radiography”, accepted for a

Podium presentation at the 18th Biennial Meeting of the International Association of Craniofacial Identification (IACI) July

13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-organized then as "IACI 2019

Online Symposium"

Urdín, D., Mesejo, P., Ibáñez, Ó., Valsecchi, A., Guyomarc'h, P., and Coqueugniot, H., “Facial Soft Tissue Depth Estimation using

Machine Learning Techniques”, accepted for a Podium presentation at the 18th Biennial Meeting of the International

Association of Craniofacial Identification (IACI) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to

Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"

Gómez, G., Mesejo, P., Ibáñez, Ó., and Valsecchi, A., “Automatic Cephalometric Landmarks Localization using Deep

Convolutional Neural Networks”, accepted for a Poster presentation at the 18th Biennial Meeting of the International

Association of Craniofacial Identification (IACI) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to

Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"

Massé, B., Lathuilière, S., Mesejo, P., and Horaud, R., “Extended Gaze-Following: Detecting Objects in Videos Beyond the Camera

Field of View”, accepted at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG'19),

Lille (France), May - 2019 (CORE2018 C, GGS rating A-, oral presentation acceptance rate ~20%)

Vladimirova, M., Arbel, J., and Mesejo, P., “Bayesian neural networks become heavier-tailed with depth”, 3rd Bayesian Deep

Learning NIPS 2018 Workshop, Montréal (Canada), December - 2018

Vladimirova, M., Arbel, J., and Mesejo, P., “Bayesian neural network priors at the level of units”, 1st Symposium on Advances in

Approximate Bayesian Inference, Montréal (Canada), December - 2018

Lathuilière, S., Massé, B., Mesejo, P., and Horaud, R., “Deep Reinforcement Learning for Audio-Visual Gaze Control”, 31st

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'18), 1555-1562, Madrid (Spain), 2018

(CORE2018 A, GGS rating A+, acceptance rate ~47%)

Lathuilière, S., Mesejo, P., Alameda-Pineda, X., and Horaud, R., “DeepGUM: Learning Deep Robust Regression with a Gaussian-

Uniform Mixture Model”, 15th European Conference on Computer Vision (ECCV’18), Munich, September - 2018

(CORE2018 A, GGS rating A+, acceptance rate ~25%)

Lathuilière, S., Juge, R., Mesejo, P., Muñoz-Salinas, R., and Horaud, R., "Deep Mixture of Linear Inverse Regressions Applied to

Head-Pose Estimation", 28th IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'17), 7149-

7157, Honolulu, 2017 (CORE2017 A, GGS rating A++, acceptance rate ~30%) Mesejo, P., Saillet, S., David, O., Bénar, C., Warnking, J., and Forbes, F., “Estimating Biophysical Parameters from BOLD Signals

through Evolutionary-based Optimization”, 18th International Conference on Medical Image Computing and Computer

Assisted Intervention (MICCAI'15), Part II, 528-535, Munich, 2015 (CORE2015 A, GGS rating A, acceptance rate ~30%)

Collins, T., Mesejo, P., and Bartoli, A., “An Analysis of Errors in Graph-based Keypoint Matching and Proposed Solutions”, 13th

European Conference on Computer Vision (ECCV’14), 138-153, Zürich, 2014 (CORE2014 A, GGS rating A+, acceptance

rate ~25%)

Valsecchi, A., Mesejo, P., Marrakchi-Kacem, L., Cagnoni, S., and Damas, S., “Automatic Evolutionary Medical Image

Segmentation using Deformable Models”, 16th IEEE Congress on Evolutionary Computation (CEC’14), 97-104, Beijing,

July-2014 (CORE2014 B, GGS rating A-)

Ugolotti, R., Mesejo, P., Nashed, Y.S.G., and Cagnoni, S., “GPU-based Automatic Configuration of Differential Evolution: a case

study”, 16th Portuguese Conference on Artificial Intelligence (EPIA’13), Progress in Artificial Intelligence, Lecture Notes in

Computer Science Volume 8154, 114-125, Azores, 2013 (acceptance rate ~25%)

Mesejo, P., Cagnoni, S., Costalunga, A., and Valeriani, D., “Segmentation of Histological Images using a Metaheuristic-based Level

Set Approach”, 15th Genetic and Evolutionary Computation Conference companion (GECCO’13), 1455-1462, Amsterdam,

July – 2013 (CORE2013 A, GGS rating A)

Ugolotti, R., Nashed, Y.S.G., Mesejo, P., and Cagnoni, S., “Algorithm Configuration using GPU-based Metaheuristics”, 15th Genetic

and Evolutionary Computation Conference companion (GECCO’13), 221-222, Amsterdam, July – 2013 (CORE2013 A,

GGS rating A)

Last update: December 22, 2020 5 of 12

Mesejo, P. and Cagnoni, S., “An experimental study on the automatic segmentation of in situ hybridization-derived images”, 1st

International Conference on Medical Imaging using Bio-Inspired and Soft Computing (MIBISOC’13), 153-160, Brussels,

May – 2013

Fernández-Lozano, C., Seoane, J.A., Mesejo, P., Nashed, Y.S.G., Cagnoni, S., and Dorado, J., ''2D-PAGE Texture Classification

Using Support Vector Machines and Genetic Algorithms'', 6th International Joint Conference on Biomedical Engineering

Systems and Technologies: International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC’13), 5-

14, Barcelona, February – 2013 (full paper acceptance rate ~15%)

Nashed, Y.S.G., Mesejo, P., Ugolotti, R., Dubois-Lacoste, J., Cagnoni, S., “A comparative study of three GPU-based

metaheuristics”, 12th International Conference on Parallel Problem Solving from Nature (PPSN’12), 398-407, Taormina,

September – 2012 (CORE2012 A, GGS rating A-, acceptance rate ~45%)

Nashed, Y.S.G., Ugolotti, R., Mesejo, P., Cagnoni, S., “libCudaOptimize: an Open Source Library of GPU-based Metaheuristics”,

14th Genetic and Evolutionary Computation Conference companion (GECCO’12), 117-124, Philadelphia, July – 2012

(CORE2012 A, GGS rating A)

Cagnoni, S., Cordón, O., Mesejo, P., Nashed, Y.S.G., Ugolotti, R., “First Results and Future Developments of the MIBISOC Project

in the IBISlab of the University of Parma”, 14th Genetic and Evolutionary Computation Conference companion (GECCO’12),

509-516, Philadelphia, July – 2012 (CORE2012 A, GGS rating A)

Mesejo, P., Ugolotti, R., Di Cunto, F., Cagnoni, S., and Giacobini, M., “Automatic Segmentation of Hippocampus in Histological

Images of Mouse Brains using Deformable Models and Random Forest”, 25th IEEE International Symposium on Computer-

Based Medical Systems (CBMS’12), 1-4, Rome, June – 2012 (GGS rating B, acceptance rate ~50%)

Romero-Porta, F., Mesejo P., Ibáñez O. and Porto-Pazos, A. B., “Optimización mediante Computación Evolutiva de la interacción

Neurona-Astrocito en Redes Neurogliales Artificiales”, 8th Congreso Español sobre metaheurísticas, algoritmos evolutivos y

bioinspirados (MAEB’12), Albacete, February – 2012

Ugolotti, R., Mesejo, P., Cagnoni, S., Giacobini, M., and Di Cunto, F., “Automatic Hippocampus Localization in Histological

Images using PSO-based Deformable Models”, 13th Genetic and Evolutionary Computation Conference companion

(GECCO’11), 487-494, Dublin, July – 2011 (CORE2011 A, GGS rating A)

Mesejo, P., Fernández-Blanco, E., Seoane, J. A., Ruiz-Romero, C., Dorado, J., Blanco, F. J., “2D-PAGE image analysis using

Evolutionary Computation”, 8th Spanish Symposium on bioinformatics and computational biology, Valencia, 88-91,

February – 2008

Book chapters

Martos, R., Ibáñez, Ó., and Mesejo, P., "Artificial Intelligence in Forensic Anthropology: state of the art and Skeleton-ID project",

Methodological and Technological Advances in Forensic Science: Application and Case Studies, Edited by Ann H. Ross and

Jason Byrd, In Press, 2020

Fernández-Lozano, C., Seoane, J.A., Mesejo, P., Nashed, Y.S.G., Cagnoni, S., and Dorado, J., "Texture Classification of Proteins

Using Support Vector Machines and Bio-Inspired Metaheuristics", Biomedical Engineering Systems and Technologies,

Communications in Computer and Information Science, 117-130, 2014

Mesejo, P., Fernández-Blanco, E., Martínez Feijóo, D., Blanco, F. J., “2D-PAGE Analysis using Evolutionary Computation”,

Encyclopedia of Artificial Intelligence, Idea Group, 1583-1588, ISBN: 978-1-59904-849-9, 2008

Non SCI-JCR indexed journal papers

Gómez, Ó., Mesejo, P., and Ibáñez, Ó., “Automatic segmentation of skeletal structures in x-ray images using deep learning for

comparative radiography”, submitted to Forensic Imaging, Elsevier, 2020

Ibáñez, Ó., Martos, R., and Mesejo, P., "Inteligencia Artificial en Antropología Forense: estado del arte, retos y oportunidades",

Revista Internacional de Antropología y Odontología Forense / International Journal of Forensic Anthropology and

Odontology, Volume 3, Number 2, pages 6-41, July – 2020

Ibáñez, Ó., Alemán, I., Bermejo, E., Corbal, I., Cordón, Ó., Damas, S., Gómez, G., Gómez, I., Gómez, Ó., González, A., Macías, M.,

Martos, R., Mesejo, P., Panizo, M., Prada, K., and Valsecchi, A., "El proyecto Skeleton-ID: hacia una identificación humana

más rápida, objetiva y precisa", Revista Internacional de Antropología y Odontología Forense / International Journal of

Forensic Anthropology and Odontology, Volume 3, Number 2, pages 71-88, July – 2020

Mesejo, P., “Soft computing and computer vision for comparative radiography in forensic identification”, The Project Repository

Journal 5, 12-15, April – 2020

Mesejo, P., “Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing”,

Electronic Letters on Computer Vision and Image Analysis, Volume 13, Number 2, 2014

Seoane, J. A., Mesejo, P., Ruiz-Romero, C., Dorado, J., Pazos, A., Blanco, F. J., “Diagnóstico por imagen en reumatología: de la

imagen radiológica a la imagen molecular”, I + S: Informática y Salud, Sociedad Española de Informática y Salud, 62: 9-17,

ISSN: 1579-8070, April – 2007

Teaching training publications

Giráldez, J., Mesejo, P., Segura, J., Fernández, J., and González., A., “Herramientas de gamificación para la enseñanza de

técnicas de búsqueda heurística en entornos dinámicos” (“Gamification tools for teaching heuristic search techniques in dynamic

environments”), submitted to XXVII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2021).

HONORS, MEMBERSHIPS AND AWARDS:

- ICCV 2017 Outstanding Reviewer Award: http://iccv2017.thecvf.com/files/ICCV_2017_Main_Conference.pdf - ISFRI 2020 Prize for the abstract of Gómez et al., "Automatic segmentation of skeletal structures in X-ray images using deep

learning for comparative radiography"

Last update: December 22, 2020 6 of 12

- Marie Curie Individual Fellowship 2016: selected as Marie Curie Experienced Researcher by the European Commission (mark of

99.6 out of 100) for the SKELETON-ID project. Marie Curie Standard Individual Fellowships are highly competitive research grants

that, in the H2020-MSCA-IF-2016 call, presented a 13.10% success rate.

- Marie Curie Early Stage Fellow 2010: 1 of the 16 Early Stage Researchers selected among more than 100 applicants to the

MIBISOC project (“Medical Imaging using Bio-Inspired and Soft Computing”, MIBISOC ITN GA 238819).

- MSc Thesis evaluated as Excellent with Honors: 1 of the 3 best marks among 26 computer scientists defending their Master Thesis

dissertation in September 2009.

- Chair of the IEEE Computational Intelligence Society Task Force on Evolutionary Computer Vision and Image Processing:

https://sites.google.com/view/ieee-cis-tf-ecvip/home

- Member of the IEEE Computational Intelligence Society Task Force on Evolutionary Deep Learning and Applications: https://yn-

sun.github.io/ieeecis_edl.html

- Member of the Andalusian Research Institute DaSCI "Data Science and Computational Intelligence": https://dasci.es/. Chair of the

Machine Learning and Image Processing track. Co-organizer of DaSCI seminars and Andalusian lectures.

OTHER CONTRIBUTIONS

Official Academic Documents

PhD Thesis: “Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing”.

Supervisor: Stefano Cagnoni. Grade: Excellent (10.0/10.0). University of Parma. Finished: July-2013. Defense: March-2014.

Master Thesis: “Optimización y Análisis del Rendimiento de Sistemas Conexionistas NeuroGliales”. Supervisors: Ana Belén Porto

Pazos y Óscar Ibáñez Panizo. Grade: Excellent (10.0/10.0). (Spanish: Matrícula de Honor): 1 of the 3 best grades among 26

computer scientists defending their Master Thesis dissertation in September 2009 at the School of Computer Science of the

University of A Coruña. Defense: September-2009.

Academic Reviewer and Supervisor

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 de 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

Master Thesis Supervisor: Rafael Sanjuan Aguilera ("Estimation of 2D to 3D dimensions and proportionality indices for facial

examination")

Master Thesis Co-Supervisor (together with Sergio Damas Arroyo): Carlos Sánchez Muñoz (“Regression techniques for the

estimation of soft tissue thickness”)

Master Thesis Co-Supervisor (together with Jesús Giráldez Crú): Iván Garzón Segura (“Generation of realistic SAT instances by

means of deep learning techniques”).

BSc Thesis Co-Supervisor (together with Jesús Giráldez Crú): Fernando de la Hoz Moreno (“Exploración de técnicas de

entrenamiento de redes neuronales profundas por medio de metaheurísticas”). Double Degree in Mathematics and Computer

Science.

BSc Thesis Co-Supervisor (together with Andrea Valsecchi): Ismael Marín Molina (“Identificación forense directa a partir de

fotografías de caras y cráneos por medio de deep learning”)

BSc Thesis Co-Supervisor (together with Óscar Cordón García): Alejandro Pinel Martínez (“Análisis de técnicas de AutoML y NAS

para diseñar y entrenar redes neuronales convolucionales profundas”)

BSc Thesis Supervisor (together with Andrea Valsecchi): Pedro Jesús Del Río Rot (“Towards a fully automatic craniofacial

superimposition system for forensic human identification”).

BSc Thesis Supervisor (together with Óscar Cordón García): José María Sánchez Guerrero (“Algoritmos meméticos para la

estimación de parámetros biofísicos a partir de señales de resonancia magnética funcional”).

BSc Thesis Supervisor (together with Javier Irurita): Javier Venema (“Estimación del sexo por medio de técnicas de deep learning a

partir de fotografías en antropología forense. Aplicación al hueso Ilion y a dientes.”).

Past

Master Thesis Co-Supervisor (together with Inmaculada Alemán Aguilera): Vanessa Velásques Peláez (“Aproximación al uso de los

senos maxilares en procesos de identificación humana por medio de técnicas de imagen”). 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 in Mathematics and Computer Science. Defended the 18th of

September 2020 at the University of Granada. Final Mark: 7.0/10.0

BSc Thesis defense panel (Double Degree in Mathematics and Computer Science), together with Carlos Ureña Almagro and

Domingo Barrera Rosillo. 17th of September, 2020. BSc Theses evaluated: 3

BSc Thesis Co-Supervisor (together with Javier Irurita): 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

Last update: December 22, 2020 7 of 12

MSc Thesis defense panel (Master in Data Science and Computer Engineering), together with Luis M. de Campos and Jesús Garrido.

10th of July, 2020. MSc Theses evaluated: 4

Master 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)

MSc Thesis external reviewer and defense panel member. Title: “Deep Robust Regression using Student-t Distribution”. Student:

Álvaro González Jiménez. Supervisors: Dr. Xavier Alameda Pineda & Dr. Stéphane Lathuilière. MoSIG M2. Grenoble

Institute of Technology (Grenoble-INP). Defended the 26th of June 2020.

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:

Sobresaliente Cum Laude.

MSc Thesis defense panel (Master in Data Science and Computer Engineering), together with Luis M. de Campos and Jesús Garrido.

30th of January, 2020. MSc Theses evaluated: 3

Industrial supervisor of Mr. Jesús Moyano Doña as intern in Panacea. Project: “Automatic Testing of 3D/2D Web Graphical

Environments” (Oct-2019 to Jan-2020)

Research stay supervisor of the visiting scholar Alexsandro Vasconcellos Da Silva. PhD student in Cellular and Molecular Biology at

the Pontifical Catholic University of Rio Grande do Sul (Brazil). Subject of the research stay: analysis of facial morphology

for forensic facial comparison (Aug-2019 to Dec-2019)

Master Thesis Co-Supervisor (together with Inmaculada Alemán): 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

Master Thesis Co-Supervisor (together with Inmaculada Alemán): 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)

Master Thesis Co-Supervisor (together with Inmaculada Alemán): 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)

Master 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

BSc Thesis defense panel (BSc in Computer Science), together with Raúl Pérez Rodríguez and Marcelino Cabrera Cuevas. 27th of

June, 2019. BSc Theses evaluated: 5

Master 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

Master 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

Master 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

Master 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.

Master 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

PhD examining board member for the PhD dissertation of Sebastián Bronte entitled "Real Time Sequential Non Rigid Structure from

Motion Using a Single Camera" (11/07/2017 at the University of Alcalá)

Reviewer for the PhD dissertation entitled: “Automatic body communication extraction through markerless motion capture” (PhD

candidate: Alvaro Marcos Ramiro. PhD student at the Electronics Department of University of Alcala, under the supervision

of Marta Marron Romera, Daniel Pizarro-Perez, and Daniel Gatica Perez. Defense date: June 17th, 2014)

Reviewer for the PhD dissertation entitled: “Correction of Errors in Time of Flight Cameras” (PhD candidate: David Jimenez

Cabello. PhD student at the Electronics Department of University of Alcala, under the supervision of Daniel Pizarro-Perez

and Manuel Mazo-Quintas. Defense date: February 13th, 2015)

Technology Transfer

- Co-founder, partner and R&D co-director of Panacea Cooperative Research (an SME focused on finding intelligent solutions to

solve unmet biomedical needs): http://www.panacea-coop.com/index.php/es/ Panacea is a UGR spin-off and member of the Data

Science and Computational Intelligence Innovation Hub (DaSCII Hub). It was founded in August 2017, and started its economic

activity in the second trimester of 2018. First product, Skeleton-ID (https://skeleton-id.com/), launched in the first trimester of 2020.

- Patent of invention application: "Procedimiento de identificación de imágenes óseas". Inventors: Óscar David Gómez López; Óscar

Ibáñez Panizo; Pablo Mesejo Santiago; Óscar Cordón García; Sergio Damas Arroyo; Andrea Valsecchi. Universidad de Granada. Nº

of application: P201831303. Country of inscription: Spain, Andalusia. Registration Date: 29/12/2018. PCT number application:

PCT/ES2019/070887. PCT application date: 26/12/2019. International publication date: 02/07/2020, under publication number WO

2020/136303.

Last update: December 22, 2020 8 of 12

- Patent of invention application: "Sistema de análisis de imágenes para la comparación facial forense". Inventors: Rubén Martos

Fernández; Óscar Ibáñez Panizo; Andrea Valsecchi; Pablo Mesejo Santiago; Alexsandro Vasconcellos da Silva; Fernando Navarro

Merino; Inmaculada Alemán Aguilera; Óscar Cordón García; Sergio Damas Arroyo. Universidad de Granada & Panacea Cooperative

Research. Nº of application: P202030191. Country of inscription: Spain, Andalusia. Registration Date: 06/03/2020.

- BOLD model FIT software protected by the French Software Protection Agency (APP), 20/07/2016. ID number:

IDDN.FR.001.300022.000.S.P.2016.000.31230

- CAPRE (Computer-Aided Polyp Recognition) software protected by the French Software Protection Agency (APP), 25/08/2015.

ID number: IDDN.FR.001.350029.000.S.P.2015.000.31230

- 7 software packages developed by me and my colleagues can be found at https://github.com/Stephlat/DeepRegression (Deep

Regression for Computer Vision), https://team.inria.fr/perception/research/dmlir/ (Deep Mixture of Linear Inverse

Regressions), https://hal.inria.fr/hal-01221115v2 (fMRI BOLD Data Model Parameter Estimation), https://hal.inria.fr/hal-

01221316/file/CODES.zip (Hybrid Level Set Segmentation Framework), https://github.com/tobycollins/GAIM (Graph-based

Affine Invariant Matching), http://ibislab.ce.unipr.it/project.php?invioID=13 (Hippocampus Localization in Brain

Histological Images), and http://ibislab.ce.unipr.it/software/libcudaoptimize/doxygen/ (Bio-Inspired Global Optimization

Toolbox).

Posters, Seminars and Invited Talks

Informational Talk (together with Guillermo Gómez) “Machines that learn by themselves. The example of deep neural networks for

image analysis”, European Researchers’ Night, Granada, 27-November-2020

Informational Talk “Deep Learning. Successes (and limitations) of the last revolution (and hype) in artificial intelligence”, Week of

Science, Colegio Internacional de Granada, Dílar, 6-March-2020

Dissemination Activity for Kids (together with Rubén Martos) “Discovering our bones”, VII Jornadas de la Ciencia, CEIP

Fuentenueva, Granada, 31-January-2020

Invited Poster Presentation “Skeleton-ID: Soft Computing and Computer Vision for Comparative Radiography in Forensic

Identification”, MSCA AI cluster, Brussels, 10/11-December-2019

Informational Talk “Deep Learning. Successes (and limitations) of the last revolution (and hype) in artificial intelligence”, Week of

Science, Granada, 13-November-2019

Informational Talk “Forensic Identification” (together with Andrea Valsecchi), Week of Science, Granada, 13-November-2019

Informational Talk “Deep Learning. Successes (and limitations) of the last revolution (and hype) in artificial intelligence”, European

Researchers’ Night, Granada, 27-September-2019

Informational Talk “Deep Learning. Successes (and limitations) of the last revolution (and hype) in artificial intelligence”, Week of

Science, Granada, 15-November-2018

Informational Talk “Forensic Identification” (together with Andrea Valsecchi and Sergio Damas), Week of Science, Granada, 15-

November-2018

Conference Poster: “Estimating biophysical parameters from BOLD signals through evolutionary-based optimization”,

18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'15), Munich, 6-

October-2015

Invited Talk "Metaheuristics for model-based object segmentation", Laboratoire Jean Kuntzmann, Grenoble, 26-March-2015

Invited Talk "Evolutionary-based Optimization of Nonlinear Models for fMRI Data", Grenoble Institute of Neurosciences, La

Tronche, 23-February-2015

Seminar “Computer-aided Decision Support Systems for Endoscopy in Gastroenterology: Current and Future Works”, University

Hospital Estaing, Clermont-Ferrand, 24-February-2014

Invited Talk “Automatic segmentation of anatomical brain structures in biomedical images using deformable models and bio-

inspired/soft computing”, ISIT lab, ALCoV group, Clermont-Ferrand, 25-June-2013

Conference Poster “Automatic segmentation of anatomical brain structures in biomedical images using deformable models and bio-

inspired/soft computing”, Final MIBISOC Conference, Brussels, 15-May-2013

Conference Talk “An experimental study on the automatic segmentation of in situ hybridization-derived images”, Final MIBISOC

Conference, Brussels, 16-May-2013

Workshop Poster “Automatic segmentation of anatomical brain structures in biomedical images using deformable models and bio-

inspired/soft computing”, 2nd MIBISOC Workshop, Nottingham, 30-January-2013

Conference Poster: “A comparative study of three GPU-based metaheuristics”, Parallel Problem Solving from Nature, Taormina,

September-2012.

Workshop Talk “Automatic segmentation of anatomical brain structures in biomedical images using deformable models and bio-

inspired/soft computing”, 1st MIBISOC Workshop, Ghent, 26-July-2012

Conference Talk “Automatic Segmentation of Hippocampus in Histological Images of Mouse Brains using Deformable Models and

Random Forest”, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), Roma, 22-June-

2012

Conference Talk “Automatic Hippocampus Localization in Histological Images using PSO-based Deformable Models”, Genetic and

Evolutionary Computation Conference, Dublin, 12-July-2011

Invited Talk “Neuron-Glia Connectionist Systems”, International Seminars about micro-nano-bio and neuron-glia systems,

University of A Coruña, March-2010

Invited Talk “Optimization and Performance Analysis of Neuron-Glia Connectionist Systems”, II International Seminars on BioITC

research, University of A Coruña, March-2009

Invited Talk “2D gel analysis”, II International Seminars on BioITC research, University of A Coruña, September-2007

Reviewer

Journals: IEEE Transactions on Neural Networks and Learning Systems; IEEE Computational Intelligence Magazine; IEEE

Transactions on Medical Imaging; IEEE Transactions on Evolutionary Computation; International Journal of Computer Vision;

Last update: December 22, 2020 9 of 12

IEEE Transactions on Image Processing; PLoS ONE; Scientific Reports; Applied Soft Computing; Computer Vision and Image

Understanding; IEEE Transactions on Emerging Topics in Computational Intelligence; Soft Computing; Swarm and

Evolutionary Computation; Pattern Analysis and Applications; Artificial Intelligence Reviews; Artificial Intelligence in

Medicine; Journal of Forensic Sciences; Connection Science; Computational Statistics and Data Analysis; Progress in Artificial

Intelligence; Engineering Applications of Artificial Intelligence; Current Bioinformatics, special issue on Convergence of

Bioinformatics with Nanotechnology and Artificial Intelligence Technologies; Current Topics in Medicinal Chemistry; Current

Medical Imaging Reviews; IET Computer Vision; RSC Advances; Computers in Biology and Medicine; Array; Entropy;

Information Systems; IEEE Journal of Biomedical and Health Informatics; among others.

Conferences: International Conference on Computer Vision (2017 Outstanding Reviewer Award); Conference on Neural

Information Processing Systems (NIPS'18, top 30% highest-scoring reviewers); International Conference on Machine Learning

(ICML’19); International Conference on Learning Representations (ICLR2021); NeurIPS 2019 and 2020; MICCAI2020 and

MICCAI2021; ICPR2020; Genetic and Evolutionary Computation Conference (2014, 2015, 2016); ECCV'18 Workshop on

Human Behavior Understanding: Towards Generating Realistic Visual Data of Human Behavior (HBUGEN'18); CVPR’19

Workshop on Fashion and Subjective Search - Understanding Subjective Attributes of Data (FFSS-USAD’19); ACM MM 2020

Workshop on Fairness Accountability Transparency and Ethics in Multimedia, track FATEMM2020; IEEE Congress on

Evolutionary Computation 2012, 2019 and 2020; Parallel Problem Solving from Nature 2012; International Joint Conference on

Artificial Intelligence IJCAI 2019; Italian Association for Artificial Intelligence Conference (AI*IA) 2013; MICCAI Workshop on

Computer-Assisted and Robotic Endoscopy - CARE 2014; International MIBISOC Conference; European Conference on

Artificial Life 2013; VUSAD (1st CVPR Workshop on Visual Understanding of Subjective Attributes of Data) at CVPR'18; XIII

Spanish Congress of Metaheuristics, Evolutionary and Bioinspired Algorithms (MAEB'18); I Workshop in Deep Learning, part

of CAEPIA'18; 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in MultiMedia (FATE/MM

2020); among others.

Participation in Research and Industrial Projects

July 2020 – October 2020 - “Artificial Intelligence Techniques for Understandable Agent-based Social Simulation of Complex

Marketing Systems” (AIMAR). Proyectos I+D+i del Programa Operativo FEDER 2018. Código A-TIC-284-UGR18.

32.150€ PIs: Dr. Óscar Cordón García y Dr. Sergio Damas Arroyo. Researcher.

January 2020 – December 2022 - “Explainable Artificial Intelligence for Reliable Skeleton-based Forensic Identification”

(EXAISFI). Junta de Andalucía. Ayudas a los agentes públicos del Sistema Andaluz del Conocimiento, para la realización de

proyectos de I+D+i (PAIDI 2020). Proyectos de Excelencia. Convocatoria 2018. Código P18-FR-4262. 100.500,00€ PIs: Dr.

Óscar Cordón García y Dr. Sergio Damas Arroyo. Collaborator.

July 2020 – Dec 2021 “Inteligencia Artificial al Servicio de la Antropología Física y Forense: Identificación Humana más Rápida,

Objetiva y Precisa”. CDTI Neotec 2019. EXP - 00122609 / SNEO-20191236. 211.379,00€. PI: Óscar Ibáñez. Role: Team

Member. Panacea Cooperative Research S.Coop.

August 2019 – December 2019 - “Fast, Unbiased & Accurate Human Identification: Artificial Intelligence at the service of Physical

and Forensic Anthropology” Project number 876798, H2020-SMEInst-2018-2020-1. 50.000 €. PI: Óscar Ibáñez. Aug2019–

Dec2019. Research and management team member. Panacea Cooperative Research S.Coop.

January 2019 – December 2021 – “Explainable and Accurate Solutions for Complex Problems using Soft Computing” (EXASOCO,

project reference: PGC2018-101216-B-I00). Spanish Ministry of Science, Innovation and Universities. «Proyectos de I+D de

Generación de Conocimiento» ‐ Convocatoria 2018. Budget: 112.530€. Member of the research team.

April 2018 – May 2020 – “Soft Computing and Computer Vision for Comparative Radiography in Forensic Identification”

(SKELETON-ID, project reference 746592). H2020-MSCA-IF-2016 call. Budget: 170.121,6€. Principal Investigator.

September 2016 – March 2018 – ERC Advanced Grant number 340113 entitled "Vision and Hearing In Action" (VHIA). FP7-

IDEAS-ERC. Budget: 2.497.000 €. Starting Researcher Position.

September 2014 – August 2016 – "Advanced statistical models for the coupling of ASL and BOLD MR modalities to study brain

function" (INRIA project). Budget: 89.323,68 €. Postdoctoral Researcher.

September 2013 – August 2014 – “Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive

Endoscopy” (SYSEO, ANR-1152SYSE). Agence nationale de la recherche (ANR). Technologies pour la santé et l'autonomie

(TecSan) 2010. Budget: 797.568 €. Postdoctoral Researcher.

July 2010 – July 2013 – “Medical Imaging using Bio-Inspired and Soft Computing” (MIBISOC ITN GA 238819). European

Commission FP7. Budget: 3.464.246,58 €. Early Stage Researcher (Predoctoral Researcher).

February 2010 – May 2010 - "Desarrollo e Implantación de Vías Clínicas Informatizadas para el Manejo del Cáncer en el Complejo

Hospitalario Universitario de A Coruña". Research Scholarship. University Hospital Complex of A Coruña Foundation.

May 2006 – December 2007 – “Estudio aleatorizado en grupos paralelos, controlado con placebo, doble ciego, para evaluar la

seguridad y tolerabilidad de SB-681323 a dosis diaria de 7,5 mg durante 28 días, y su efecto sobre los niveles séricos de

proteína c-reactiva en pacientes con artritis reumatoide” (RA 1100849).

Participation in Teaching Innovation Projects

September 2020 – February 2021 – “Utilización de un seminario gamificado para iniciación o repaso en clases de programación de

ordenadores”. Reference 20-61. Plan FIDO UGR 2020-2022, Universidad de Granada. Unidad de Calidad, Innovación y

Prospectiva. Responsible: García Castellano, Francisco Javier.

Conference, Courses and Workshops organization, and Editorial Activities

2021 – Chair of the IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (IEEE

CIMSIVP), as part of the IEEE Symposium Series on Computational Intelligence (SSCI) 2021

2021 – Chair of the CEC Special Session on Evolutionary Computer Vision and Image Processing (CEC’21)

2021 – Chair of the EvoApps special session on Evolutionary Computation in Image Analysis, Signal Processing and Pattern

Recognition, as part of Evo*2021

2021 – Program Committee member of the 35th AAAI Conference on Artificial Intelligence (AAAI-21)

2021 – Senior Program Committee member of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)

Last update: December 22, 2020 10 of 12

2020 – Editorial Board member (Associate Editor) of the Array Elsevier Journal since July 2020

(https://www.journals.elsevier.com/array/editorial-board)

2020 – Program Committee member of the Special Session on Fuzzy-based Simulation Approaches and Systems in Science and

Engineering (FSASSE’20)

2020 – Program committee of MAEB2020 (XIV Spanish Congress of Metaheuristics, Evolutionary and Bioinspired Algorithms)

2020 – Technical Program Committee member for ACM International Conference on Multimedia 2020

2020 – Program Committee member of the 20th EPIA Conference on Artificial Intelligence (EPIA2020)

2020 – International Scientific Committee member of the Collaborative European Research Conference (CERC’20), Belfast,

September 2020.

2020 – Program Committee of the International Conference on Evolutionary Computation Theory and Applications (ECTA 2020)

2020 – Senior program committee member for IJCAI-PRICAI 2020 (International Joint Conference on Artificial Intelligence --

Pacific Rim International Conference on Artificial Intelligence, track IJCAI2020)

2020 – Chair of the CEC Special Session on Evolutionary Computer Vision and Image Processing, as part of WCCI2020

2020 – Program Committee member of the International Workshop on Artificial Intelligence for Healthcare Applications

(AIHA2020), part of the International Conference on Pattern Recognition (ICPR’20)

2020 – Program Committee member of the 24th European Conference on Artificial Intelligence (ECAI2020)

2020 – Chair of the IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (IEEE

CIMSIVP), as part of the IEEE Symposium Series on Computational Intelligence (SSCI) 2020

2020 – Program Committee member of the 34th AAAI Conference on Artificial Intelligence (AAAI-20)

2019, 2018, 2017, 2016, 2015, 2014, and 2013 – Program Committee member of the track or thematic area of Evo* devoted to

Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition (evoIASP). Leipzig, Parma, Amsterdam,

Porto, Copenhagen, Granada, Vienna, respectively.

2019 – Program Committee of the International Conference on Evolutionary Computation Theory and Applications (ECTA 2019)

2019 – Guest Editor (together with Dr. Marcos Ortega Hortas and Dr. Jorge Novo Buján) of the “Applied Sciences” journal (IF:

1.689) Special Issue "Computer-aided Biomedical Imaging 2020: Advances and Prospects"

2019 – Program Committee member for the International Conference on Image Analysis and Processing (ICIAP 2019)

2019 – Program Committee member of the ACM International Conference on Multimedia 2019

2019 – Program Committee member of the Special Session on Fuzzy-based Simulation Approaches and Systems in Science and

Engineering (FSASSE’19), as part of the 17th International Conference on High Performance Computing & Simulation (HPCS’19)

2019 – Program Committee member of the 19th EPIA Conference on Artificial Intelligence

2019 – Chair of the CEC Special Session on Evolutionary Computer Vision and Image Processing

2018 – Chair of Poster session III "Cardiac, chest and abdominal applications" in MICCAI'18.

2018 – Program Committee member of MAEB 2018 (XIII Spanish Congress of Metaheuristics, Evolutionary and Bioinspired

Algorithms)

2018 – Program Committee member of I Workshop in Deep Learning, part of CAEPIA'18

2018 – Program Committee member of the ECCV'18 Workshop on Human Behavior Understanding (HBUGEN'18)

2017 – Program Committee member of the 18th EPIA Conference on Artificial Intelligence

20-21 February 2012 – Local Committee Member of "4th Workshop Italiano sulla Vita Artificiale e il Calcolo Evolutivo"

(WIVACE): “Vita Artificiale, Evoluzione e Complessità”. University of Parma.

22-25 February 2012 – Local Committee Member of “2nd Technical Course on Medical Imaging using Bio-Inspired and Soft

Computing”. University of Parma.

Research Stays

2012 – September and October (2 months). Two-month research stay at the Applications of Fuzzy Logic and Evolutionary

Algorithms research unit under the supervision of Dr. Sergio Damas. European Centre for Soft Computing. Spain.

2011 – October and November (2 months). Two-month research stay at the Computational Imaging laboratory of the School of

Computer Science under the supervision of Dr. Li Bai. University of Nottingham. United Kingdom.

Teaching

2020-21 – Subject “Machine Learning”. BSc in Computer Science, University of Granada, Spain. 60 hours (6 ECTS).

2020-21 – Subject “Artificial Intelligence”. BSc in Computer Science, University of Granada, Spain. 30 hours (3 ECTS).

2020-21 – Subject “Computer Vision”. BSc in Computer Science, University of Granada, Spain. 30 hours (3 ECTS).

2020-21 – Subject “Intelligent Systems Techniques”. BSc in Computer Science, University of Granada, Spain. 60 hours (6 ECTS).

2020-21 – Subject “Information technology fundamentals for biology”. BSc in Biology, University of Granada, Spain. 30 hours (3

ECTS).

2020-21 – Subject “Biomedical Imaging and Forensic Identification” (as part of the subject on Applications of Data Sciences and

Intelligent Systems). Master in Data Science and Computer Engineering, University of Granada, Spain. 10 hours (1 ECTS).

2019-20 – Subject “Intelligent Systems Techniques”. BSc in Computer Science, University of Granada, Spain. 30 hours (3 ECTS).

2019-20 – Subject “Biomedical Imaging and Forensic Identification” (as part of the subject on Applications of Data Sciences and

Intelligent Systems). Master in Data Science and Computer Engineering, University of Granada, Spain. 10 hours (1 ECTS).

2018-19 – Subject “Machine Learning”. BSc in Computer Science, University of Granada, Spain. 30 hours (3 ECTS).

2018-19 – Subject “Biomedical Imaging and Forensic Identification” (as part of the subject on Applications of Data Sciences and

Intelligent Systems). Master in Data Science and Computer Engineering, University of Granada, Spain. 10 hours (1 ECTS).

2012-13 – Subject “Introduction to programming using MATLAB”. Civil Engineering Faculty, University of Parma, Italy. 20 hours.

2011-12 – Subject “Introduction to programming using MATLAB”. Civil Engineering Faculty, University of Parma, Italy. 20 hours.

2010-11 – Subject “Introduction to programming using MATLAB”. Civil Engineering Faculty, University of Parma, Italy. 10 hours.

FURTHER EDUCATION

Last update: December 22, 2020 11 of 12

2018 – Tutorials on “Deep Reinforcement Learning for Medical Imaging” and “Deep Learning for Medical Imaging: From

A(dversarials) to Z(-space)” of the 21st International Conference on Medical Image Computing and Computer Assisted

Intervention (MICCAI), Granada (Spain) (8 hours). 16-20 September.

2018 – "PRAIRIE AI summer school". Inria Grenoble Rhône-Alpes (France) (19 hours). 2nd-6th July.

2014 – "Philosophy and the Sciences". Coursera - University of Edinburgh (UK) (20 hours). 20th October - 8th December. Mark:

87.7/100

2014 – "Introduction to Philosophy". Coursera - University of Edinburgh (UK) (20 hours). 15th September - 3rd November. Mark:

100/100

2014 – "Statistical Analysis of fMRI Data". Coursera - Johns Hopkins University (USA) (24 hours). 20th July – 1st September.

Mark: 100/100

2014 – "An introduction to interactive programming in Python". Coursera - Rice University (USA) (100 hours). 1st September -

3rd November. Mark: 99.8/100

2014 – Course “Philosophy of Science”. University of Oxford (UK) (100 hours). 10th September – 21st November. Mark: Very

Good

2014 – Course “Machine Learning”. Coursera - University of Stanford (USA) (70 hours). 16th June – 25th August. Mark: 98.6/100

2012 – Course “Second MIBISOC Complementary Skills” University of Ghent (Belgium) (11 hours). June 25th-26th. Contents:

Intellectual and Industrial Property, Exploitation and Technology Transfer; Ethical Issues in Research; Team Building and

Negotiation; Knowledge of the Global Scientific Market; and Management Methods.

2012 – “Machine Learning Summer School 2012” (MLSS’12). La Palma (Spain) (48 hours). April 11th-20th. Contents: Kernel

Methods; Markov Chain Monte Carlo methods; Optimization: Theory and Algorithms; Bayesian Modeling; Graphical Models;

Introduction to Bayesian Nonparametrics; and Gaussian Processes.

2012 – Course “Second MIBISOC Technical Course” University of Parma (Italy) (30 hours). February 21st-25th. Final Mark:

Excellent. Contents: Structure tracking in Medical Imaging (MI) using Neural Networks (NNs) and Bio-Inspired Computing (BC);

Visualization in multidimensional MI; BC-SC solutions in surgery; Medical robotics; MI classification for diagnosis.

2011 – Course “First MIBISOC Technical Course” European Centre for Soft Computing (Spain) (30 hours). July 4th-8th. Final

Mark: Excellent. Contents: SC-BC capabilities in MI; BC-SC techniques for MI classification; BC-SC techniques for MI restoration;

BC-SC approaches to MI segmentation; and BC-SC in MI registration.

2011 – Course “First MIBISOC Complementary Skills” University of Granada (Spain) (11 hours). February 1st-2nd. Contents:

Research methodology and policy; Search of scientific and technical information; Specialized scientific writing and oral

communication; Creative thinking and problem resolution; General public dissemination; and Gender issues.

2011 – “Course in Basics of Medical Imaging and Bioinspired-Soft Computing” Virtual Learning Centre of the University of

Granada (Spain) (120 hours). July-October. Average mark: 92.54/100. Contents: Fuzzy Set Theory and Fuzzy Systems; Probabilistic

Reasoning; Neural Networks; Local Search and Metaheuristics; Evolutionary Computation; Swarm Intelligence; Hybrid Soft

Computing; Machine Learning; Image acquisition and processing; Image segmentation; Image registration; and case studies: 3D

brain Atlas construction, brain connectivity analysis using DTI, analysis of abdominal MRI data, and segmentation of white matter

lesions in elderly subjects with cerebrovascular dementia.

2010 – Seminar “Tutorial on Deformable Image Registration and Non-Rigid 3D Reconstruction from Images”. Italian Institute

of Technology (Italy) (10 hours). December 6th-7th. Contents: non-rigid image registration (image deformation models, feature-based

registration, and pixel-based registration); and non-rigid 3D reconstruction (template-based 3D reconstructions and non-rigid

structure-from-motion).

2010 – “6th International Summer School on Pattern Recognition” University of Plymouth (UK) (35 hours). September 5th-10th.

Contents: reasoning and learning with graphical models; Neural Networks; Chaotic Pattern Recognition; Kernel based methods;

decision trees; data clustering; data dimensionality reduction; reinforcement learning; evolutionary computation; combining

classifiers; and feature selection and extraction.

2010 – Master’s Degree in Computer Systems Engineering specialization in Intelligent Systems. University of A Coruña

(Spain). Only the following subjects were taken: “Machine Learning” (9.0/10.0), “Evolutionary Systems” (10.0/10.0), and

“Techniques and Methods of Digital Biomedical Imaging Analysis” (7.5/10.0)

LANGUAGES

SPOKEN WRITTEN COMPREHENSION

ENGLISH C1 C1 C1

SPANISH MOTHER TONGUE

GALICIAN MOTHER TONGUE

ITALIAN C1 C1 C1

FRENCH B2 B2 C1 * Common European Framework of Reference for Languages: Learning, Teaching, Assessment (CEFR).

COMPLEMENTARY ACTIVITIES

February 2011 – July 2013

Students Representative within the European project MIBISOC. Member of the Network Supervisory Board (NSB) in that project

(MIBISOC Marie Curie International Training Network, FP7 PEOPLE-ITN-2008, GA n. 238819).

Last update: December 22, 2020 12 of 12

May 2009 – October 2009

Secretary of the Working Group about Fundamental Subjects in Computer Science in charge of the adaptation of the current

academic titles to the Bologna Process (School of Computer Science of the University of A Coruña).

December 2004 – December 2008

Students representative at the School of Computer Science of the University of A Coruña: Faculty Board (2004-05, 2005-06, 2006-07

and 2007-08), Teaching Committee (2004-05, 2005-06, 2006-07 and 2007-08), Permanent Commission (2004-05, 2005-06, 2006-07

and 2007-08), Scholarships Selection Committee (2004-05, 2005-06, 2006-07 and 2007-08), and the Commission in charge of

adapting the current titles to the Bologna Process (2008).

January 2007 – January 2010

Collaborator of the Cultural Area of the Vice-Rectory of Culture and Communication in the organization of the music festival

Campus Rock in the years 2007, 2008, 2009 and 2010. Secretary of the Summer School “Debating about contemporary cinema:

main trends of international cinema” (July-2010). The following courses were taken to improve my background in Arts and

Humanities: "Alfred Hitchcock's cinema: between classicism and modernity" (35 hours), "The new cinemas and film modernity in

the 60s" (25 hours), "Cinema 2.0. Image and reality in the digital era" (20 hours), "The sixties: modernity in the Spanish cinema. The

new Spanish cinema and the "School of Barcelona"" (35 hours), "Jean-Luc Godard" (30 hours), "How to finally forget about the

(official) History of Cinema. A possible alternative through its crisis" (20 hours), "Radical styles in the cinema of modernity" (20

hours), "Images in the time. Stellar moments of the cinematographic form" (20 hours), "The pleasures of the sight. How to analyze

movies and enjoy while trying" (20 hours), "Happy together. Cinema and Pop culture" (10 hours), "Trends of Spanish cinema in front

of the third millennium" (30 hours), "Look and see the cinema. The learning of the gaze" (30 hours), "Luis García Berlanga.

Tradition and avant-garde" (20 hours), "David Lynch. Inland Empire. Proposals from the maze" (5 horas), "Video-creation. Other

creative forms" (30 hours), "Film critique: definitions and practices" (20 hours), "The fiction documentary" (20 hours), "Ingmar

Bergman. Masks of the Flesh. Cinematographic modernity and moral compromise in Ingmar Bergman" (20 hours), "Possible

rewritings of the History of Cinema: the end of a mythical tale" (20 hours), "Extraterritorial, Avant-garde, Experimental. The other

Spanish cinema" (20 hours), "Trends of contemporary cinema" (20 hours), "A reading of Histoire(s) du Cinéma by Jean-Luc Godard"

(20 hours), "Cinema and Spanish Civil War" (15 hours), "History of Cinema: the historic avant-garde movements (French surrealism,

Soviet avant-garde and German expressionism)" (30 hours), "Working methods: "Leo" by José Luis Borau" (12 hours), "Introduction

to documentary" (12 hours), "Cinematographic History and Aesthetic: Silent and Classic Cinema" (30 hours) and "Screen

heterodoxy. Cinematographic classicism transgressions, from modernity to post-cinema" (20 hours)

October 2007 – June 2010

Project Coordinator and volunteer at the Cooperation and Volunteering Office of the University of A Coruña. During this period, I

took the following courses: "Romani culture" (9 hours), "Psycho-pedagogical orientation in the field of social volunteering" (5

hours), and "Cooperative games and Romani culture" (5 hours).

October 2002 – October 2006

Volunteer at the Cooperation and Volunteering Office of the University of A Coruña. During this period I attended the following

courses to complete my training as volunteer and develop my tasks in the most effective manner: "Sexual education and drug

dependency in adolescence" (12 hours), "Child psychology applied to volunteering" (10 hours), "Children at risk of social exclusion"

(10 hours), "Immigration, integration and multiculturalism" (20 hours), "Globalization and military conflicts" (10 hours), and

"Initiation to social volunteering" (10 hours).