Kasper Cools

Research scientist 

Research Unit Robotics & Autonomous Systems 

Department of Mechanics

Royal Military Academy

Address

Av. De La Renaissance 30, 1000 Brussels, Belgium

Contact Information

Call: –

Email: Kasper.Cools@mil.be 

Kasper Cools is an AI researcher at the Robotics & Autonomous Systems unit of the Department of Mechanics of the Belgian Royal Military Academy. His research focuses on developing adversarial approaches to counter the effectiveness of most commonly used Artificial Intelligence techniques for detection, tracking, classification, and identification.

He initially earned his Bachelor’s degree in applied Computer Science as a working student, balancing professional responsibilities with academic pursuits. Transitioning into academia, he started working as a Computer Science lecturer, after which he earned his Master’s degree in Computer Science via distance learning, specialising in data science management at the Open University (OU).

He participated in several research projects throughout his career, including MoBiZ (focused on optimising transportation for individuals with disabilities in the healthcare sector), Multidimensional Skill Models within an educational game, and REFRAME – a regional Food Framework initiative.

Kasper has been an active member of the steering committee for Devoxx Belgium for the last decade, an annual technology conference organised by developers for developers.

2025

• K. Cools, C. Maathuis, G. {De cubber}, M. Vandewal, and N. Deligiannis, “Evaluation Techniques for Modern Military Camouflage," in Evaluation Techniques for Modern Military Camouflage, 2025.
  [BibTeX] [Download PDF]

  @inproceedings{0a1d528b681b4dc7a81b6b8487df795e,
  title = "Evaluation Techniques for Modern Military Camouflage",
  author = "Kasper Cools and Clara Maathuis and {De cubber}, Geert and Marijke Vandewal and Nikos Deligiannis",
  year = "2025",
  language = "Nederlands",
  booktitle = "Evaluation Techniques for Modern Military Camouflage",
  note = "International Conference on Military Technologies 2025, ICMT2025 ; Conference date: 27-05-2025 Through 30-05-2025",
  url = "https://icmt2025.cz",
  unit= {meca-ras},
  project= {ARC}
  }

• C. Maathuis and K. Cools, “FHATMO: Feedback Model for Human-AI Teaming in Military Operations," in FHATMO: Feedback Model for Human-AI Teaming in Military Operations, 2025.
  [BibTeX] [Download PDF]

  @inproceedings{7b6f43681fff433b80174d2a190df291,
  title = "FHATMO: Feedback Model for Human-AI Teaming in Military Operations",
  author = "Clara Maathuis and Kasper Cools",
  year = "2025",
  language = "Nederlands",
  booktitle = "FHATMO: Feedback Model for Human-AI Teaming in Military Operations",
  note = "International Conference on Military Technologies 2025, ICMT2025 ; Conference date: 27-05-2025 Through 30-05-2025",
  url = "https://icmt2025.cz",
  unit= {meca-ras},
  project= {ARC}
  }

• C. Maathuis and K. Cools, “Risks and Control Measures for Building Trustworthy Autonomous Weapon Systems," in ICCWS – 20th International Conference on Cyber Warfare and Security, 2025.
  [BibTeX]

  @inproceedings{8087a20d04e3490ca837aa9b8f5d158c,
  title = "Risks and Control Measures for Building Trustworthy Autonomous Weapon Systems",
  author = "Clara Maathuis and Kasper Cools",
  year = "2025",
  language = "Nederlands",
  booktitle = "ICCWS - 20th International Conference on Cyber Warfare and Security",
  unit= {meca-ras},
  project= {ARC}
  }

• C. Maathuis and K. Cools, “The Role of AI in Military Cyber Security: Data Insights and Evaluation Methods," in The Role of AI in Military Cyber Security: Data Insights and Evaluation Methods, 2025, p. 191–200.
  [BibTeX] [Download PDF] [DOI]

  @inproceedings{2cd3f64017734a629399671997131f32,
  title = "The Role of AI in Military Cyber Security: Data Insights and Evaluation Methods",
  author = "Clara Maathuis and Kasper Cools",
  year = "2025",
  doi = "10.1016/j.procs.2025.02.078",
  language = "English",
  pages = "191--200",
  booktitle = "The Role of AI in Military Cyber Security: Data Insights and Evaluation Methods",
  publisher = "Elsevier Science Publishers B.V.",
  url="https://www.sciencedirect.com/science/article/pii/S1877050925004284/pdf?md5=cb26bfdc1347c1719be794d52430711a&pid=1-s2.0-S1877050925004284-main.pdf",
  unit= {meca-ras},
  project= {ARC}
  }

2024

• K. Cools, G. {Mailette de Buy Wenniger}, and C. Maathuis, “Modeling offensive content detection for TikTok," in IEEE Conference on Digital Platforms and Societal Harms 2024, 2024.
  [BibTeX] [DOI]

  @inproceedings{7fe0105eb06648fb806e91e8fa3ceb66,
  title = "Modeling offensive content detection for TikTok",
  author = "Kasper Cools and {Mailette de Buy Wenniger}, Gideon and Clara Maathuis",
  year = "2024",
  month = dec,
  doi = "10.1109/DPSH60098.2024.10774634",
  language = "English",
  booktitle = "IEEE Conference on Digital Platforms and Societal Harms 2024",
  unit= {meca-ras}
  }

• K. Cools and C. Maathuis, “Trust or Bust: Ensuring Trustworthiness in Autonomous Weapon Systems," in IEEE Military Communication Conference 2024, 2024.
  [BibTeX] [Download PDF] [DOI]

  @inproceedings{b0d1d2ad7c7446dfbe873b15d4b3b337,
  title = "Trust or Bust: Ensuring Trustworthiness in Autonomous Weapon Systems",
  author = "Kasper Cools and Clara Maathuis",
  year = "2024",
  month = dec,
  doi = "10.1109/MILCOM61039.2024.10773908",
  language = "English",
  booktitle = "IEEE Military Communication Conference 2024",
  note = "2024 IEEE Military Communications Conference ; Conference date: 28-10-2024 Through 01-11-2024",
  url = "https://milcom2024.ieee-milcom.org/",
  unit= {meca-ras},
  project= {ARC}
  }