CV

Here you will find a brief overview of my professional background, including key experience, research interests, and technical skills. You can download the full detailed PDF version of my resume by clicking the PDF icon.

Basics

Name Javier Parada
Label Cybersecurity Researcher & Software Engineer
Email javierparada@pm.me
Url https://javierparada.phd
Summary A cybersecurity researcher and software engineer from Spain, recognized for work in cyber-intelligence, threat hunting, and high-availability system design

Work

  • 2023.01 - 1955.01
    Cybersecurity Researcher
    NicsLab - Research Group
    Research in cybersecurity with a strong emphasis on Cyber Threat Intelligence and Adversary Emulation applied to Critical Infrastructures.
    • Cyber Threat Intelligence
    • Adversary Emulation
    • Critical Infrastructures

Volunteer

  • 2014.04 - 2015.07

    Zurich, Switzerland

    Lead Organizer
    People's Climate March
    Lead organizer for the New York City branch of the People's Climate March, the largest climate march in history.
    • Awarded 'Climate Hero' award by Greenpeace for my efforts organizing the march.
    • Men of the year 2014 by Time magazine

Education

  • 1905.01 - 1905.01

    Zurich, Switzerland

    PhD
    University of Zurich, Zurich, Switzerland
    Software Development
    • Theory of Relativity

Awards

  • 2025.06.06
    Outstanding Master's Thesis Award
    RENIC Awards for the Best National Master's Degree Thesis
    Honored with the RENIC Cybersecurity Award for the Best National Master's Degree Thesis in Spain, granted by the Red de Excelencia Nacional de Investigación en Ciberseguridad (RENIC).

Certificates

Blockchain Technologies
University of Malaga 2025-07-01
日本語能力試験 N3
The Japan Foundation 2025-01-01

Publications

  • 2025.09.01
    Digital Twin for Adaptive Adversary Emulation in IIoT Control Networks
    ESORICS 2025
    The paper proposes a framework that uses digital twins to emulate adaptive cyber adversaries in industrial IIoT control networks. The approach creates a virtual replica of the industrial system where auto‑ mated attackers, driven by reinforcement learning, interact with the environment and adapt their strategies to identify and exploit critical nodes. By combining system modeling with structural analysis and adversarial learning, the framework enables the generation of realistic and dynamic attack scenarios without impacting real industrial infrastructure. This environment can be used to evaluate defensive mechanisms, analyze sys‑ tem resilience, and support proactive cybersecurity testing in critical industrial networks

Languages

Spanish
Native speaker
English
Fluent
Japanese
Fluent
Basque
Native speaker

Interests

Physics
Quantum Mechanics
Quantum Computing
Quantum Information
Quantum Cryptography
Quantum Communication
Quantum Teleportation

References

Professor John Doe
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Professor John Doe
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Projects

  • 2018.01 - 2018.01
    Quantum Computing
    Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.
    • Quantum Teleportation
    • Quantum Cryptography