Ph.D. from the Polytechnic University of Madrid (UPM) in Physics of Complex Systems for his work Framework for the analysis and design of encryption strategies based on discrete-time chaotic dynamical systems. He spent 7 years teaching at the Universidad Autónoma de Madrid (UAM) in the field of Computer Engineering and studying the field of computational neuroscience and information security. He obtained the position of Principal Investigator in 2018, where he created the Cybersecurity and Privacy Protection research group. His work is encompassed in the areas of cryptography, information security, information theory, signal processing and nonlinear dynamics.
Graduated in Computer Engineering from the Universidad Autónoma de Madrid. Subsequently, postgraduate degree from the same university by obtaining the Master I2ISIC. Part of the research group in Cybersecurity and Privacy Protection (GiCP) and is focused on the development of a platform that encompasses different tools for the exploitation and analysis of data focused on the world of disinformation.
He graduated with a Degree in Computer Engineering from the Technical University of Madrid (UPM) in 2017, and completed his practicum at the Madrid Institute for Advanced Studies in Software Development Technologies (IMDEA) in the same year. He pursued a Master in Cybersecurity at the Charles III University of Madrid (UC3M) in 2018. Upon finishing his master’s degree, he joined UC3M as a researcher in the CYNAMON project. He later transferred to the Institute of Physical and Information Technologies (ITEFI-CSIC) to work on the SPIRS project. His research interests include privacy preserving algorithms and artificial intelligence.
Programmer with a keen eye for detail, transforming abstract concepts into functional code. Analyst with the ability to understand and dissect problems, providing data-driven solutions as well as more questions. A self-confessed “Dataholic” who possesses a deep fascination and curiosity for leveraging data to drive solutions and answers with a global and honest vision.”
José Manuel Camacho Rodríguez is a PhD student at ICMAT under the supervision of Professor David Ríos Insua. His research focuses on Cybersecurity with special interest on Fake News Detection and the spread of misinformation online. He holds an MSc in Data Science from Sapienza University of Rome and a BSc in Mathematics from University of Almeria. He also was an exchange student at the University of Sheffield (Erasmus + scholar) and the University of Tennessee, Knoxville (ISEP scholar).
A graduate in Multi-platform Application Development (DAM), he combines his technical expertise with a strong background in art, allowing him to take charge of the artistic side of the company. With a degree in art and a multidisciplinary approach, Izan brings a unique perspective that integrates creativity and functionality in all his projects. Born in Madrid in 1996, Izan is a person with a strong sense of leadership and a keen awareness of his environment, skills that are reflected in his daily work and interaction with the team. In addition, he possesses commercial knowledge and vast work experience that complement his technical and artistic profile.
Fascinated with puzzles, hidden secrets and hacks since he was a boy, computers drag his attention in highschool. Motivated by the motto “freedom through knowledge”, he finally graduated in Computing Engineering, and completed a Master’s degree in Cybersecurity, both at Universidad Carlos III de Madrid (UC3M). Understanding how things work from the inside allows to predict and improve them. But knowledge becomes a weapon when it is kept hidden. Technology should bring the society together, freely, transparently and without discrimination, and so is my will, empower users with tools and information to claim back the security and freedom in the cyberworld.
Graduated in Mathematics at USAL, former member of the Cybersecurity and Privacy Protection research group doing his Master’s Thesis in Industrial Mathematics with specialization in mathematical modeling. The work he is doing deals with local structure theorems of systems of ordinary differential equations and has utilities to study the behavior of solutions of dynamical systems around equilibrium points.
Born in Burgos in 1997 and graduated in the double degree of Mathematics and Computer Engineering at the Universidad Autónoma de Madrid and in the Master of Cybersecurity at the University of Nebrija together with IMF. He is part of the Cybersecurity and Privacy Protection research group (GiCP) since June 2022 and develops machine learning and natural language processing techniques for threat detection in data streams.
Graduated with a double degree in Mathematics and Computer Engineering from the Autonomous University of Madrid. He has been with the Cybersecurity and Privacy Protection Research Group since October 2022. With the aim of ensuring a clean and verifiable access to information from social networks and media; he performs community analysis and automatic search of sources through the application of explainable Artificial Intelligence and Natural Language Processing.
José Cabrero-Holgueras is a Cryptography Engineer and Privacy-Preserving Machine Learning Researcher with a strong academic background and extensive experience in the field. He holds a Ph.D. in Computer Science and Technology from Universidad Carlos III de Madrid, where he graduated with Cum Laude Distinction. His academic journey includes three years at CERN, contributing to cutting-edge research on homomorphic encryption, secure multiparty computation, and deep learning.
He obtained the Double Degree in Computer Engineering and Mathematics from the Universidad Autónoma de Madrid in 2021, after which he studied the Master in Cybersecurity at the Universidad Carlos III de Madrid. After completing the master’s degree, he started working at the Institute of Physical and Information Technologies Leonardo Torres Quevedo in the context of the SPIRS project. His research focuses on the study of privacy preserving algorithms and different cryptographic protocols.
Graduated in Mathematics and Physics from the University of Cantabria, he has a master’s degree in Statistical-Computational Information Processing from the UCM and another one in Artificial Intelligence Research from the UNED. He worked at GICP thanks to a JAE Intro grant developing characterization techniques for ransomware attacks through Machine Learning techniques.
Industrial Electronics and Automation Engineer by the University of La Rioja (2017-2021) and specialized in the Master of Automation and Robotics at the Polytechnic University of Madrid (2021-2022). He started his research career in the Cryptology and Information Security Research Group, thanks to a JAE INTRO grant. With this grant he did his master’s thesis on “Classification of memes used in disinformation campaigns using deep learning techniques” for the TRESCA project.
Graduated in Computer Engineering from the Universidad Autónoma and in the Master in Big Data Analytics from the Universidad Carlos III de Madrid. He collaborated in the GICP as a support researcher in the development of machine learning and natural language processing techniques for threat identification in data streams.
