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Aderonke Thompson, PhD

Applied AI and cybersecurity researcher working across trustworthy AI, ML optimisation, AI governance and industrial cybersecurity. I investigate complex technical problems, build practical tools and experimental environments, and translate findings into solutions that organisations can use.

  • 🤖 Applied AI & ML — research in adversarial robustness, optimisation and trustworthy AI, including GAOR (Network, 2025)
  • 🧠 Responsible AI implementation — AI governance, risk assessment, human oversight and AI lifecycle controls
  • 🛡️ AI-TPRM Toolkit — open-source toolkit for assessing and managing third-party AI risk
  • 🧪 Industrial cybersecurity — hands-on OT/ICS experimentation with Modbus TCP and simulated industrial processes
  • 🔬 Research → practice — translating experimental findings and emerging technologies into practical organisational solutions
  • PhD in Computer Science (Information Security) · Former ERCIM Postdoctoral Fellow
  • 📫 LinkedIn, ORCID

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  1. ot-security-lab ot-security-lab Public

    A simulated Modbus TCP industrial process lab for exploring protocol-valid control actions, process impact, and investigation evidence.

    Python

  2. ai-tprm-toolkit ai-tprm-toolkit Public

    Open-source AI-Aware Third-Party Risk Management Toolkit - ISO 27001, EU AI Act, NIS2 DORA aligned

    1

  3. gaor-adversarial-ml-robustness gaor-adversarial-ml-robustness Public

    GAOR-related research notebooks exploring genetic-algorithm feature selection and adversarial robustness in network intrusion detection.

    Jupyter Notebook