Enrique Tomás Martínez Beltrán

Enrique Tomás Martínez Beltrán
University of Murcia | UM · Department of Information and Communication Engineering

PhD student in Computer Science

About

7
Publications
631
Reads
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16
Citations
Introduction
Enrique Tomás Martínez Beltrán is working towards a Ph.D. in Computer Science at the University of Murcia, Spain. He obtained a B.Sc. degree in Information and Communication Technologies and an M.Sc. degree in New Technologies, specializing in information security, networks, and telematics. His research interests include cybersecurity, Brain-Computer Interfaces, IoT, and Artificial Intelligence applied to different fields using Machine Learning and Deep Learning techniques.
Additional affiliations
October 2021 - present
University of Murcia
Position
  • PhD Student
July 2020 - October 2021
University of Murcia
Position
  • Research Associate
Education
September 2020 - July 2021
University of Murcia
Field of study
  • Bilingual Master's Degree. Specialization in networks, telematics and cybersecurity.
September 2016 - June 2020
University of Murcia
Field of study

Publications

Publications (7)
Conference Paper
Full-text available
Brain-Computer Interfaces are devices that enable two-way communication between an individual's brain and external devices, allowing the acquisition of neural activity and neurostimulation. Considering the first one, electroencephalographic signals are widely used for the acquisition of subjects' information. Therefore, a manipulation of the data a...
Article
Full-text available
As recently reported by the World Health Organization (WHO), the high use of intelligent devices such as smartphones, multimedia systems, or billboards causes an increase in distraction and, consequently, fatal accidents while driving. The use of EEG-based Brain-Computer Interfaces (BCIs) has been proposed as a promising way to detect distractions....
Article
Full-text available
Most of the current Brain–Computer Interfaces (BCIs) application scenarios use electroencephalographic signals (EEG) containing the subject’s information. It means that if EEG were maliciously manipulated, the proper functioning of BCI frameworks could be at risk. Unfortunately, it happens in frameworks sensitive to noise-based cyberattacks, and mo...
Chapter
Full-text available
In recent years, the growth of brain-computer interfaces (BCIs) has been remarkable in specific application fields, such as the medical sector or the entertainment industry. Most of these fields use evoked potentials, like P300, to obtain neural data able to handle prostheses or achieve greater immersion experience in videogames. The natural use of...
Article
Full-text available
Brain-computer interfaces (BCIs) started being used in clinical scenarios, reaching nowadays new fields such as entertainment or learning. Using BCIs, neuronal activity can be monitored for various purposes, with the study of the central nervous system response to certain stimuli being one of them, being the case of evoked potentials. However, due...
Article
Since the first reported case in Wuhan in late 2019, COVID-19 has rapidly spread worldwide, dramatically impacting the lives of millions of citizens. To deal with the severe crisis resulting from the pandemic, worldwide institutions have been forced to make decisions that 1 affect the socio-economic realm. In this sense, researchers from diverse kn...

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Projects

Project (1)
Project
CyberBrain aims to identify and exploit BCI cybersecurity issues within an advanced driver assistance scenario, defining three use cases where Bitbrain devices can be applied to this environment. Moreover, CyberBrain will design and implement a framework to detect cyberattacks affecting the BCI lifecycle of Bitbrain products.