Hi, I'm Enrique Tomás Martínez Beltrán

Ph.D. Student in Computer Science

CyberDataLab @ University of Murcia

Passionate about advancing technology at the intersection of cutting-edge AI and cybersecurity. Expert in Federated Learning, IoT, and privacy-preserving AI solutions for real-world applications.

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740+ Total Citations
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Enrique Tomás Martínez Beltrán - AI/ML Engineer and Researcher

About Me

Get to know me better

As a Ph.D. candidate in Computer Science at the University of Murcia, Spain, I am driven by a passion for innovation at the intersection of cutting-edge technologies. My academic journey began with a B.Sc. in Information and Communication Technologies, followed by an M.Sc. in New Technologies, where I specialized in information security, networks, and telematics.

I am currently immersed in exploring Federated Learning (FL) within decentralized architectures to unlock its transformative potential across various sectors:

  • 🏥 Healthcare: Enhancing patient care and medical research through secure data sharing.
  • 🏭 Industry 4.0: Optimizing manufacturing processes and predictive maintenance.
  • 📱 Mobile Services: Improving user experiences and delivering personalized services.
  • 🛡️ Military Applications: Strengthening defense systems with advanced machine learning techniques.
  • 🚗 Vehicle Technology: Innovating in autonomous driving and vehicle-to-everything (V2X) communication.

My work bridges multiple domains, including:

  • 🤖 Artificial Intelligence (AI): Machine learning, deep learning, and natural language processing.
  • 🔐 Cybersecurity: Secure data exchange and privacy-preserving techniques.
  • 🌐 Internet of Things (IoT): Edge computing, sensor networks, and smart devices.
  • 🧠 Brain-Computer Interfaces (BCI): Human-computer interaction and cognitive neuroscience.

I am dedicated to advancing technology to create a more connected, secure, and intelligent world. My mission is to contribute to both theoretical advancements and tangible innovations that drive impactful change.

🚀 Always eager to collaborate, share knowledge, and discuss the latest technological breakthroughs. Let me know if you'd like to know more!

Learn more about my projects, read my blog, or check out my publications.

Core Expertise Areas

Federated Learning Cybersecurity IoT Machine Learning Privacy-Preserving AI Decentralized Systems Brain-Computer Interfaces Research & Innovation

Research & Education

My research journey and academic background

Research Highlights

2022-2023

Research Project: DEFENDIS

Federal Office for Defence Procurement armasuisse Switzerland

DEcentralized FEderated learNing for IoT Device Identification and Security project.

  • Developed framework for uniquely identifying IoT devices in distributed and robust manner
  • Implemented hardware device fingerprinting and distributed ML/DL models
  • Applied adversarial attacks and identified countermeasures for federation resilience
  • Developed fully Decentralized FL (DFL) framework for ML/DL model generation
2022-2025

Research Project: EU-GUARDIAN

European Defence Fund European Commission (13.45M€)

European Framework for Intelligent Automation of Cyber Defence Incident Management.

  • Creating AI-based solutions for automated incident management and cyber defence processes
  • Developing techniques for detecting and understanding adversarial activity
  • Building AI-based decision systems with risk and impact awareness
  • Contributing to EU cyber defence posture and AI-based resource development
2021-2023

Research Project: VALKYRIES

European Commission H2020-ICT European Union (6M€)

Harmonization and Pre-Standardization of Tactical Coordinated procedures for First Aid Vehicles deployment.

  • Developed capabilities for coordinated emergency response in multi-victim disasters
  • Created modular, interoperable, scalable and secure platform for emergency services
  • Implemented cross-frontier and cross-sectorial BLOS scenarios
  • Enhanced emergency response coordination across European regions
2023

Research Project: CyberBrain

Bitbrain Technologies S.L. Spain

Cybersecurity in BCI for Advanced Driver Assistance.

  • Designed framework to detect cyberattacks affecting BCI lifecycle
  • Analyzed BCI and Bitbrain vulnerabilities and proposed countermeasures
  • Implemented cyberattacks targeting advanced driver assistance scenarios
  • Developed metrics and framework for measuring cyberattack impact

Education

2021-Present

Ph.D. in Computer Science

University of Murcia, Spain

Researching decentralized federated learning architectures and privacy-preserving AI solutions.

  • Creating AI-based solutions for collaborative learning in federated systems.
  • Developing techniques for detecting and understanding adversarial activity.
  • Developing privacy-preserving machine learning techniques for secure data exchange.
  • Contributing to European research projects in cybersecurity and AI.
2020-2021

M.Sc. in New Technologies

University of Murcia, Spain

Specialized in information security, networks, and telematics. Focused on cybersecurity and emerging technologies.

2016-2020

B.Sc. in Information and Communication Technologies

University of Murcia, Spain

Foundation in computer science, telecommunications, and information systems. Graduated with honors.

Projects

Some of my recent work

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Publications

Research contributions

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Latest Blog Posts

Thoughts on AI, ML, and technology

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Location

Murcia, Spain