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Full Professor of AI at CiTIUS and School of Engineering (ETSE), Univ. Santiago de Compostela.
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Universidad de Santiago de Compostela
Doctor, Inteligencia Artificial
January 1, 1990 – January 1, 1994
Universidad de Santiago de Compostela
Licenciado, Ciencias Físicas
January 1, 1985 – January 1, 1990
Sociedad Española de Procesamiento de Lenguaje Natural (SEPLN) - Spanish Scientific Society for NLP
Board Member (Secretary)
September 1, 2022 – Present
Jaén, Andalusia, Spain
Universidad de Santiago de Compostela
Academic Coordinator - BSc on Artificial Intelligence
March 1, 2022 – Present
European Society for Fuzzy Logic and Technologies (EUSFLAT)
Board Member - ESTYLF Section
September 1, 2021 – Present
27th European Conference on Artificial Intelligence
Organizing Committee Co-Chair
May 1, 2021 – October 1, 2024
Santiago de Compostela, Galicia, Spain · On-site
InVerbis Analytics
Scientific Advisor
December 1, 2020 – Present
Santiago de Compostela, Galicia, Spain
Multi3Generation COST Action
Management Committee (substitute), WG1 and WG2 Member
September 1, 2019 – July 1, 2024
CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes)
Coordinator - Intelligent Systems Research Group
February 1, 2019 – Present
Research Network of Excellence on Intelligent Data Analysis and Natural Language Generation (iGLN)
Board Member
July 1, 2018 – December 1, 2020
24th European Conference on Artificial Intelligence (ECAI)
Organizing Committee Co-Chair
September 1, 2016 – September 1, 2020
Santiago de Compostela, Galicia, España
Asociación Española para la Inteligencia Artificial (AEPIA) - Spanish Scientific Society for AI
Board Member
January 1, 2016 – Present
Seville, Andalusia, Spain
Asociación Española para la Inteligencia Artificial y Universidad Internacional Menéndez Pelayo
Member of the Academic Board of the "Master on Research on Artificial Intelligence"
September 1, 2014 – September 1, 2018
CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes)
Senior Researcher in Artificial Intelligence
September 1, 2012 – Present
Universidad de Santiago de Compostela
Full Professor of Artificial Intelligence
February 1, 2012 – Present
Universidad de Santiago de Compostela
Academic Coordinator - MSc on Information Technologies
June 1, 2011 – November 1, 2013
Spanish Network for the Advance and Transfer of Applied Computational Intelligence (ÁTICA)
Board Member
September 1, 2009 – December 1, 2014
http://www.lsi.upc.edu/atica
Universidad de Santiago de Compostela
Vice-director at the School of Engineering
April 1, 2004 – May 1, 2008
Universidad de Santiago de Compostela
Assoc. Professor of Artificial Intelligence
October 1, 1994 – December 1, 2011
Intelligent Handling of concept drift in process mining supported by Cloud Computing (INCEPTION)
December 1, 2021 – Present
The main objective of the project is to adapt the change management technology in process models to the needs of real business environments with large volumes of data‚ facilitating the detection and textual description of such changes.
Responsible AI for Process Mining 2.0
September 1, 2021 – Present
The objective of RAI4P is to design AI Responsible-aware predictive monitoring models for processes. Also‚ we seek to support real-world scenarios where processes are not explicit and must be inferred from the environment.
NL4XAI: Interactive Natural Language Generation for Explainable Artificial Intelligence (H2020-MSCA-ITN-2019)
August 1, 2019 – September 1, 2024
NL4XAI is a Marie Skłodowska-Curie Innovative Training Network (H2020-MSCA-ITN-2019) made up by seventeen institutions (universities, research centres and companies). The main objective of NL4XAI is to train a new generation of scientists which could be the seed for the development of a more human-centred set of AI systems, facing current and future Explainable AI challenges, through an interdisciplinary approach which merges AI, Natural Language Technologies (Natural Language Understanding, Natural Language Generation and argumentation) and Human-Computer Interaction. Participants: - Centro de Investigación en Tecnoloxías da Información (CiTIUS-USC, Coordinator) - Centre National de la Recherche Scientifique (CNRS) - Institut d'Investigació en Intel.ligència Artificial (IIIA-CSIC) - Technische Universiteit Delft - Indra Soluciones Tecnologías de la Información S.L. - Instytut Filozofii i Socjologii Polskiej Akademii Nauk - Universiteit Utrecht - University of Aberdeen - Universita ta Malta - Universiteit Twente Partners: - Université de Lorraine - Arria NLG Ltd. - University of Dundee - Wizenoze B.V. - Orange France - Accenture Spain - Info Support B.V.
Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation (CA18231 COST Action)
January 1, 2019 – June 1, 2024
Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processing (NLP) are language generation tasks, and being able to effectively perform these tasks implies: 1) that machines are equipped with world knowledge that can require multi-modal processing and reasoning (e.g. textual, visual and auditory inputs, or sensory data streams), and 2) the study of strong, novel Machine Learning (ML) methods (e.g. structured prediction, generative models), since virtually all state-of-the-art NLP models are learned from data. Moreover, human languages can differ wildly in their surface realisation (i.e. scripts) as well as their internal structure (i.e. grammar), which suggests that multilinguality is a central goal if machines are to perform seamless language generation. Language generation technologies would greatly benefit both public and private services offered to EU citizens in a multilingual Europe, and have strong economic and societal impacts.
QC4SUSTEX: Authentication and security of sustainable textiles and development of devices for the effective environmental control under fabrication
January 1, 2019 – March 1, 2021
The CiTIUS participates in the design, development and validation of artificial vision and machine learning techniques to: - detect regenerated natural fibers of synthetic recycled fibers present in textiles - determine the amount of micro-fibers which are retained in a washing retention filter.
inVerbis: tell it in words
January 1, 2019 – December 1, 2020
InVerbis is a project funded by the Ignicia Proof of Concept program (GAIN), which really operates as a proto company with the ability to position itself in the business process analytics market. The main objective of InVerbis is the development of a software platform for business processes analytics, based on the AI research carried out within the CiTIUS Intelligent Systems Group. InVerbis incorporates discovery algorithms, analysis and automatic explanation of business processes well ahead of those available in current solutions. It also integrates natural language generation technology to make this information readable to the end user.
iGLN: Red de Excelencia en Tratamiento Inteligente de Datos y Generación de Lenguaje Natural
July 1, 2018 – December 1, 2020
La Red Temática “Tratamiento Inteligente de la información y Generación de Lenguaje Natural (iGLN)” integra a diez grupos de referencia en los ámbitos de investigación de: - tratamiento inteligente de datos (principalmente basado en la Computación Flexible o “Soft Computing", SC) - Generación de Lenguaje Natural (GLN) El objetivo principal de la red iGLN es doble: i) identificar los puntos de convergencia y retos comunes a los dos ámbitos, que tengan un mayor impacto y relevancia, tanto en el nivel de modelos como el de aplicaciones ii) elaborar una hoja de ruta que defina y permita abordar dichos retos en el futuro inmediato a través de actividades de I+D+i conjuntas. La visión de la red iGLN es definir la agenda de investigación conjunta en los ámbitos SC y GLN, en cuanto a su utilización en nuevos contextos de aplicación reales, asegurando resultados transferibles a la sociedad y a los sectores productivos. Para ello se tomarán los ámbitos de aplicación real ya experimentados, con indudable éxito, por parte de los grupos participantes.
QPET_RADIOMICS: Advanced image quantification for personalized cancer treatments
January 1, 2018 – December 1, 2019
CiTIUS contribution to QPET-RADIOMICS will be focus in the development of new systems for classifying the different subtypes of breast tumors and the prediction of the evolution of cognitive impairment towards the Alzheirmer disease, by means of machine learning and prediction techniques applied to the quantitative parameters obtained from the radiomic process.
Aportando Inteligencia a los procesos de negocio mediante Soft Computing en escenario de datos masivos (BIGBISC)
January 1, 2018 – September 1, 2021
El proyecto BIGBISC aplica nuevas técnicas de soft computing para la analítica inteligente de procesos de negocio en contextob Big Data: - obtención automática de dichos procesos en escenarios complejos, desestructurados y con grandes volúmenes de datos (minería de procesos) - descripción automática en lenguaje natural de la información relevante de los mismos, generando automáticamente informes explicativos que comunique de forma efectiva a los decisores dicha información de una forma comprensible. Se aplicarán las técnicas desarrolladas sobre el conjunto de casos de uso reales definido en el proyecto, que servirán como validación de las mismas en entornos diversos y exigentes.
SMARTCARDIA: Intelligent and predictive platform for supporting the clinical management of the cardiac rehabilitation process
January 1, 2018 – March 1, 2021
SMARTCARDIA objectives are: - To design and implant the cardiac rehabilitation process by means of a service platform based in clinical workflows - To manage the medical knowledge for decision taking in the process of cardiac rehabilitation - To develop advance graphical user interfaces adapted to the profile of the different types of professionals who participate in the process of cardiac rehabilitation - To improve adherence of patients in cardiac rehabilitation processes, reducing the dropout of patients.
PREBENCAR: Asesor virtual inteligente para la PREvención y el BiENestar CARdiovasculares
January 1, 2016 – December 1, 2018
El objeto de PREBENCAR es facilitarle al ciudadano, a los profesionales sanitarios y a los servicios de salud la promoción de actividades de prevención cardiovascular primaria a nivel poblacional, buscando un cambio en las costumbres y hábitos sociales
SOCOBAI: Soft Computing for Business Artificial Intelligence
July 1, 2015 – December 1, 2018
En el proyecto se investigarán y aplicarán nuevas técnicas de la computación flexible para tareas relacionadas con el descubrimiento, gestión, análisis y descripción de procesos.
Nextchrom: Cromatografía virtual avanzada y gestión integral de datos analíticos y moleculares
January 1, 2015 – December 1, 2018
NEXTCHROM desarrolla nuevas herramientas basadas en la Inteligencia Artificial para cromatografía 2D, optimizando el proceso de separación de muestras en ambas dimensiones.
Linguistic Description of Complex Phenomena
January 1, 2012 – December 1, 2014
The project investigates methodologies for the automated linguistic textual description of complex phenomena, namely numerical data series. We develop Natural Language Generation (NLG) and Soft Computing tools for the automatic construction of texts that include the most relevant information that is implicit in the data, namely describing complex relations between them, evolution profiles or any other information that could be relevant for the different profiles of users and their contexts. We are dealing the weather forecasting domain as a first use case for the tools developed, but also environmental information and other domains of application are of intersest. Funded by: Ministry of Economy and Competitiveness Partners: European Centre for Soft Computing (Mieres, Asturias)
Nuevos modelos de planificación de procesos productivos en el sector naval
May 1, 2011 – December 1, 2013
En el proyecto se desarrolla un módulo de scheduling automático para la planificación de proyectos integrado con la herramienta web open source LibrePlan (desarrollada por Igalia, S.L.). El módulo utiliza la metaheurística "Tabu Search" para realizar la planificación de proyectos atendiendo a las restricciones de disponibilidad de los recursos y minimizando el tiempo de finalización de los trabajos.
VACCA: Development of an Autonomous Vehicle for the Control of Water Quality
September 1, 2009 – July 1, 2011
An Autonomous Underwater Vehicle (AUV) is a robotic vehicle which moves through the water using a propulsion system that allows it to maneuver in three dimensions. They are equipped with sensors that sample the ocean while the vehicle is moving, recording series of spatial and temporal data. AUVs have an on-board computer that runs the autonomous navigation system, which determines the path to follow, taking into account the points at which sampling is required, the map of the area and the obstacles detected by the sensors. VACCA is a subproject within the Strategic Project "Environmental protection of the coast and the marine environment", PROMARES. It addresses the design and operation of an AUV to control the quality of sea water, i.e., it performs water quality measurements in a particular area routinely. This design allows the system to react to the actions of other installations in the area, sampling by request as a result of reaching predefined environmental conditions.
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and scientific societies, indicating a strong fit for environments that value deep theoretical understanding, innovation, and long-term research initiatives. Their involvement in numerous collaborative projects (e.g., COST Actions, research networks) suggests a collaborative mindset. The diversity of projects, from medical imaging to environmental control and business process analytics, shows a broad interest in applying AI and data analysis across various domains. This breadth could be a strong asset in a dynamic organization, though the transition from a purely academic research culture to a more product- or business-driven data analyst role would need to be assessed.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, organizational, and collaborative skills through their extensive involvement in academic coordination, board memberships, and conference organizing committees. Their long tenure in research and academia suggests a methodical and analytical approach to problem-solving. The focus on interdisciplinary projects (e.g., NL4XAI) indicates an ability to work across diverse teams and integrate different knowledge domains. However, the resume does not provide direct evidence of operational experience in a corporate data analyst setting, which might require adaptation to business-specific KPIs and rapid iteration cycles.