Dr. David Camacho
Professor, Head of AIDA

Universidad Politécnica de Madrid

Dr. David Camacho is currently a Full Professor at the Computer Systems Engineering Department of the Technical University of Madrid (Spain), and the Head of the Applied Intelligence & Data Analysis group. He received a Ph.D. with honors in Computer Science from Universidad Carlos III de Madrid in 2001. He has published more than 350 journals, books, and conference papers. His expertise comprises: Big Data; Machine Learning: Clustering, Hidden Markov Models, Classification and Deep Learning; Computational Intelligence: Evolutionary computation, Swarm Intelligence; Pattern and Process modeling and mining; Graph Computing and Social Mining, and Data Analysis for complex industrial applications for companies, such as: Airbus Defence & Space, Codice Technologies, ImpactWare, or Jobssy S.L among others.

Machine Learning, Social Network Analysis, Data Mining, Evolutionary Computation, Swarm Intelligence, or Video Games, among others.

Dra. Gema Bello Orgaz
Senior Lecturer

Universidad Politécnica de Madrid

Dra. Gema Bello-Orgaz is a senior lecturer in the Universidad Politécnica de Madrid (UPM). She holds a PhD degree in computer science from Universidad Autonoma de Madrid. Currently, she is involved with Applied Intelligence and Data Analyisis (AIDA) research group at UPM.

Social Network Analysis, Graph-based algorithms, Evolutionary Computation, and their applications in science and industry.

Dr. Alejandro Martín
Assistant professor

Universidad Politécnica de Madrid

Dr. Alejandro Martín is an Assistant Professor at Universidad Politécnica de Madrid. His main research interests are Deep Learning, Cybersecurity and Natural Language Processing. He has been visiting researcher at University of Kent and University of Córdoba. Besides has participated in an important number of international conferences as reviewer and organizer, as reviewer and Guest Editor in international journals, and in a large number of research projects. He is the PI of the CIVIC project, focused on the fight against misinformation.

Deep Learning, Cybersecurity, Natural Language Processing, Language models.

Dr. Cristian Ramirez
Assistant professor

Universidad Politécnica de Madrid

Dr. Cristian Ramírez Atencia is an assistant professor in the school of computer systems engineering of  Universidad Politécnica de Madrid (UPM). He holds a PhD in computer science at the Autonomous University of Madrid. He has been visiting researcher at Otto von Guericke University Magdeburg. Currently he is part of the Applied Intelligence and Data Analysis (AIDA) research group at UPM. His research interests revolve around theory and applications of evolutionary computation, with a special emphasis on multi-objective optimization.

Multi-Objective Optimization, Evolutionary Computation, Constraint Programming, Decision Support Systems.

Dr. Victor Rodriguez Fernández
Assistant professor

Universidad Politécnica de Madrid

Dr. Victor Rodriguez Fernandez is an assistant professor in the school of computer systems engineering of  Universidad Politécnica de Madrid (UPM). He holds a PhD in computer science at the Autonomous University of Madrid. Currently he is part of the Applied Intelligence and Data Analysis (AIDA) research group at UPM, where he is involved with several projects funded by the European Commision. His research interests revolve around practical applications of deep learning, with a special emphasis on time series data.

Deep Learning, Time Series, Space & AI

Dr. Javier Huertas
Assistant professor

Universidad Politécnica de Madrid

Dr. Javier Huertas Tato obtained his PhD in Computer Science at Universidad Carlos III de Madrid under a FPI research grant. Currently, he is working as PhD assistant lecturer at Universidad Politecnica de Madrid and collaborating with national and international research projects such as CIVIC, FightDIS and IBERIFIER. His current research topics are disinformation detection, tracking and countering; machine learning applied to environmental issues; and deep learning techniques such as convolutional networks and transformers.

Disinformation detection, tracking and countering; Machine learning applied to environmental issues; Deep learning (convolutional networks and transformers).

Dr. Carlos Camacho Gómez
Assistant Professor

Universidad Politécnica de Madrid

Dr. Carlos Camacho Gómez is lecturer in the Computer Systems Engineering Department at Universidad Politécnica de Madrid (UPM). He has studied telecom engineering and has recently obtained his PhD in Computer Science at Universidad de Alcalá (UAH). His thesis has been focused on the development of the metaheuristic algorithm CRO-SL in order to solve hard optimization problems in different topics as antenna design for 5G or vibration cancellation in civil structures. He has also researched on machine learning techniques for regression, clustering or features extraction on renewable energy related problems. In the last year, his research is targeted on 5G propagation models and the study of the state of the art on new emerging 5G technology standards.

Metaheuristic, Machine Learning, Evolutionary algorithms, Generative Adversarial Networks (GAN)

Dr. Sergio Alejandro D’Antonio
Assistant Professor

Universidad Politécnica de Madrid

Sergio is Sociologist and Ph.D in Philosophy, currently Assistant Professor at the Universidad Politécnica de Madrid where he teaches Social, legal and ethical aspects of IT. For the last five years his teaching focused in Science and Technology and Cultural and Social Philosophy at the Universidad Complutense de Madrid. He has participated in European projects on the relationship between women with disabilities and STS and in fostering the online capabilities of three Albanian universities (T@SK) among other projects.

His main fields of research during the last decade are Science and Technology Studies, the interrelations of IT with Social Sciences and Social Network Analysis. Currently his main research focuses on the relationship between IT and society, its ethical, social and philosophical implications and consequences, and the mismatch between the two. 

Ángel Panizo
Teaching assistant

Universidad Politécnica de Madrid

Ángel Panizo LLedot is a teaching assistant in the school of computer systems engineering of  Universidad Politécnica de Madrid (UPM).  Has a B.Sc. in Computer Science from Universidad Complutense de Madrid, and a M.Sc. in Artificial Intelligence from Universidad Politécnica de Madrid. Nowadays, he is a Computer Science Ph.D. candidate at Universidad Autónoma de Madrid and and is also involved with AIDA interest research group at ETSISI-UPM, his main research interests are related to Clustering; Graph-based algorithms, especially focus on time-evolving graphs; Social Data Analysis; and Bio-inspired methods.

Social Networks Analysis, Bio-inspired algorithms, Dynamic graph-based algorithms.

Dr. Jesus Mayor Marquez
Teaching assistant

Universidad Politécnica de Madrid

Jesús Mayor is a full-time lecturer and researcher in Universidad Politécnica de Madrid. He is an Information Technologies and Communications Ph.D. from the Universidad Rey Juan Carlos (URJC – 2020). He holds a M.S. degree in Computer Graphics and Simulation (from U-tad University – 2014) and a M.S. degree in Information Technologies (from Universidad CEU San Pablo – 2013). He also holds a Bachelor degree in Information Technologies and Systems (from Universidad CEU San Pablo).

His current research interest topics are related with Computer Graphics, Virtual Reality and Machine Learning.

Dr. Carlos Casanova Mateo
Adjunct professor

Universidad Politécnica de Madrid

Dr. Carlos Casanova-Mateo received the B.S. degree in Physics from the Universidad de Valladolid (Spain) in 2000, and a Ph.D. degree in Applied Physics from the same institution in 2007. Currently, he is adjunct professor at the Department of Computer Systems (Universidad Politécnica de Madrid, Spain). After working for Coritel, Iberia LAE and Senasa he became State Meteorologist in 2011. His current interests deal with soft-computing techniques, hybrid algorithms and neural networks in different applications of environmental science and applied engineering.

Applied meteorology, renewable energies, environmental science, aeronautical management.

Javier Torregrosa
Researcher

Universidad Politécnica de Madrid

Javier Torregrosa is a junior researcher in the Universidad Politécnica de Madrid (UPM). He has a B.Sc in Psychology, two M.Sc in Criminology and Crime Analysis and a M.Sc in Statistics for Social Sciences. Currently, he is a Computer Science Ph.D. candidate at Universidad Politécnica de Madrid and is also involved with AIDA research group at ETSISI-UPM.

Application of different computer science techniques (such as Social Network Analysis or Natural Language Processing) to the study of social phenomena, such as extremism.

Emma Stevenson
Researcher

Universidad Politécnica de Madrid

Emma Stevenson is a Marie Skłodowska-Curie Early Stage Researcher in the EU H2020 Stardust-R research network (http://www.stardust-network.eu/), based in the AIDA group in the school of Computer Systems Engineering at Universidad Politécnica de Madrid (UPM), Spain. She is researching how advanced machine learning and artificial intelligence techniques can be applied to the space sector, to make our use of space sustainable, and is also a PhD student in the school of Aeronautics and Space Engineering at UPM. Her research into space sustainability follows from a two-year position as a Young Graduate Trainee with the European Space Agency’s Space Debris Office in Darmstadt, Germany. Originally, her background is in Physics, where she specialised in astrophysics and computational modelling during her Bachelor and Master’s degrees at the University of Birmingham, UK.

Applied Artificial Intelligence; Aerospace Engineering; Space Traffic Management; Space Debris; Space Weather

Guillermo Villar
Researcher

Universidad Politécnica de Madrid

Guillermo Villar Rodríguez is a Postgraduate Researcher on Data Journalism and Data Science for CIVIC against misinformation and a PhD student. Previously, he gained experience in Data Journalism during his internships at LAB RTVE and EL PAÍS and his collaborations for a branded-content webpage. After his university degrees in Journalism (with the Award Premio Extraordinario) and Audiovisual Communication and his Master (Título Propio) in Data Journalism, he moved to the Netherlands to study an official Master’s degree in Data Science and Society to learn about data-led practices on a computational level for journalism.

Data-driven and computational journalism, data science, data visualization, NLP and SNA.

Álvaro Huertas García
PhD student

Universidad Politécnica de Madrid

Álvaro Huertas Garcia did his undergraduate studies in Biotechnology at Universidad de Salamanca. He then did his MSc in Bioinformatics and Computational Biology at Universidad Autónoma de Madrid. His MSc research project focused on developing an automatic system to counter COVID-19 misinformation and infodemic through semantic similarity. Currently is working on his PhD thesis in Technology and Computational Science for Smart Cities at Universidad Politécnica de Madrid.

Computational Biology, Health Informatics, Bioinformatics, Natural Language Processing.

Helena Liz López
PhD student

Universidad Politécnica de Madrid

Helena Liz López is an Associate Researcher at Universidad Rey Juan Carlos (URJC) Computer Science Department under project CYNAMON. She did her undergraduate studies in Biology at Universidad Autónoma de Madrid and she has an M.Sc in Bioinformatics and Computational Biology at Universidad Autónoma de Madrid. Currently, she is Ph.D candidate at Universidad Politécnica de Madrid.

Her main research interests are Deep Learning, Computer Vision and Health Informatics.

Dra. Maria Soledad Delgado Sanz
Associate professor

Universidad Politécnica de Madrid

Dra. Soledad Delgado received the B.S degree in Computer Science from the Universidad Politécnica de Madrid (Madrid, Spain), in 1990, the M.S. Degree in Computer Science from the Universidad Carlos III (Madrid, Spain), in 2000 and the Ph.D. in Computer Science from the Universidad Politécnica de Madrid (UMP, Madrid, Spain) in 2010. From 1991 to 2017 she has been an Assistant Professor with the Applied Computing Department and the Organization and Structure of Information Department, Universidad Politécnica de Madrid, Madrid, Spain. Since 2017 she is an Associate Professor at the Department of Computer Systems, Universidad Politénica de Madrid.

Her research interests include machine learning, artificial neural networks, unsupervised learning, self-organizing maps, pattern recognition, data mining, exploratory data analysis, algorithms, and computational complexity, as well as image processing techniques.

Dr. Miguel Ángel Díaz Martínez
Associate professor

Universidad Politécnica de Madrid

Dr. Miguel Ángel Díaz is an associate professor in the Universidad Politécnica de Madrid (UPM). He holds a PhD degree in computer science from Universidad Politécnica de Madrid. Currently, heis involved with Applied Intelligence and Data Analyisis (AIDA) research group at UPM.

Neuronal Networks, Network of Evolutionary Processors, Intelligent Agents

Dra. Aurea María Anguera de Sojo Hernández
Senior Lecturer

Universidad Politécnica de Madrid

Dra. Áurea Anguera de Sojo Hernández is a senior lecturer in the Universidad Politécnica de Madrid (UPM). She holds a PhD degree in artificial intelligence from Universidad Politécnica de Madrid. Currently, she is involved with Applied Intelligence and Data Analyisis (AIDA) research group at UPM.

IT Law, Data Protection, Privacy