Edificio H, Campus de Pozuelo, Universidad Francisco de Vitoria. Carretera M-515 Pozuelo-Majadahonda km. 1,800. 28223 Pozuelo de Alarcón (Madrid).
+34 917091400 ext. 1893
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Final year student of Computer Engineering Degree and CEIEC scholarship holder.
Currently collaborating in a research project focused on the automatic generation of summaries to facilitate access to information from legal texts.
Currently collaborating in a research project focused on the automatic generation of texts to facilitate the creation of content in the journalistic field.
Last year student of the Computer Engineering Degree and CEIEC scholarship holder.
His line of research focuses on the study of predictive models with Deep Learning techniques applied to food safety in member countries of the European Union.
Student in the last year of the Computer Engineering Degree and CEIEC scholarship holder.
He works on modeling EEG graphs of people with epilepsy. To study these graphs, he applies Deep Learning models of the Graph Convolutional Neural Networks type.
PhD in CC. Mathematics although always he was oriented to Computer Science; he has been linked to the University since 1994. He has been Lecturer in UC3M and Universidad Francisco de Vitoria, where he is now PhD. Professor in the Computer Engineering Deparment. He has made compatible for years his university profile with his work in Technology, Consulting and Software Development companies (Soluziona, Grupo Recreativos Franco, among others), involved in different RDi projects mainly in Artificial Intelligence, leading teams and directing departments related to real-time architectures, SW development and innovation.
As a researcher, he started doing unsupervised neural models for image recognition. Now his areas of interest are Artificial Intelligence as a whole and Deep Learning in particular (unsupervised neurocomputing and its ethical implications) although he likes to try other flavours (online architectures using Kafka, Dockers, Kubernetes, Grafana, MongoDB, etc.). Since 2020 he is collaborating in CEIEC, a Research Institute of the UFV for technological innovation with a social accent. His current work focuses on unsupervised neural models, deep learning techniques and their applications in various sectors.
You can reach him on floor 2 in Building H (Pozuelo de Alarcón Campus)
Degree in Physics and Master in Biomedical Physics by the Complutense University of Madrid. She currently holds an FPI scholarship for the PhD. Her professional experience includes, among others, the modeling of biological phenomena in the group of cellular mechanics of the UCM, in collaboration with the Hospital 12 de Octubre, and the analysis of statistical properties of electroencephalograms in the UFV, in collaboration with the Hospital Beata María Ana and the CSIC. She currently applies Deep Learning techniques to study electroencephalograms of patients with Parkinson disease.
Computer Science Engineer and Mathematician from UAM and Masters in Artificial Intelligence from UPC. She is a Natural Language Processing specialist, in particular on Machine Translation, carrying out her thesis in document-level Machine Translation, introducing context information within machine translation systems, and focusing lately on the Deep Learning and Neural approaches. She worked in different research groups specialized in Machine Translation both at national (TALP group at UPC, Speech and Natural Language Technologies Department at VICOMTECH) and international level ( the Uppsala NLP Group at Uppsala Univesitet). She also participated in several projects at local (MODELA, QUALES), national (OpenMT2, TACARDI) and European (ELRI) levels. Her main interests are Machine Translation (neural systems, quality estimation, low-resourced languages, etc.), Natural Language Processing (natural language generation, natural language understanding, speech processing, etc.) and the cross-cutting application of Machine Learning and Deep Learning techniques.
Alberto Nogales is a Computer Scientist with a Master in Software Engineer and Artificial Intelligence. He earns a PhD in University of Alcalá (Spain) focused in the field of Semantic Web and Social Network Analysis. He has experience in several European research projects and publications in conferences and journals from JCR. His education has been completed working in Technische Universität Wien (Austria), Tallinna Tehnikaülikool (Estonia) and University of Málaga (Spain). Since November 2017 works as PostDoctoral researcher and lecturer at Universidad Francisco de Victoria, at CEIEC research center. Actually is working in Deep Learning and its use in Signal Processing and Predictive Models.
Address: 2º Floor, Building H. CEIEC Lab. Campus UFV – Pozuelo de Alarcón
Ph.D. in Biochemistry and passionate about computer science, he has been linked to the University since 1.994. He has been Lecturer in UCM, UC3M and Universidad Francisco de Vitoria, where he is now Associate Professor in Artificial Intelligence. He has made compatible for fifteen years his university profile with his work in Consulting and Software Development companies (Indra and Telefonica Data, among others), involved in more than 20 R&D projects mainly in Artificial Intelligence (11 of them in European Programs), leading National and European teams and directing development and innovation departments. He has also been appointed as external consultant by the European Commission for several Research Framework Programs (FP5 and 6).
As a researcher, he started doing mathematical modeling of biological systems. Now his areas of interest are bio-inspired computing (neurocomputing, evolutionary computation), philosophy of AI and serious games. Since 2007 he heads CEIEC, a Research Institute of the UFV for technological innovation with a social accent. He has produced several serious games for transmission of educational and cultural content and integration of people with Intellectual Disabilities. He is also full member of the Academia Española de las Artes y las Ciencias Interactivas. His current work is focused on neural models, deep learning techniques and their applications in several fields. He especially contributes to the practice of eHealth and social care by exploiting massive biomedical data for remote care, diagnostic and optimization.
You can reach him at room 2.10 in Building H (Pozuelo de Alarcón Campus) and in LinkedIn, ResearchGate and Google Scholar
He has a Degree in Computer Science from UFV. Actually, he is a Lecturer in the Specialties of Robotics and, Cybersecurity and Ethic Hacking.
Telecommunication Engineer by UPM in Spain, with a Master in Middle School Teaching in UAH. Actually he is a PhD candidate in UAH in the field of Artificial Intelligence. He is passionate in teaching, and collaborates with CEIEC in Cognitive Computing, Deep Learning to find strategies for optimising Energetic Efficiency and extract knowledge from Biomedical Big Data. He is also Lecturer in the fields of Data Mining and Robotics and tutor for Degree Projects.
Previously he has been manager in IT companies, renewable energies and construction. He also collaborates as consultant and sales agent for a variety of national and international TELCO companies.
Address: Address: 2º Floor, Building H. Campus UFV – Pozuelo de Alarcón