Mr Martin Haváček

Martin Haváček is a doctoral researcher at the Faculty of Safety Engineering (FSE), VSB-TUO, and a research associate at the Faculty of Electrical Engineering and Computer Science (FEECS) at the same university. His doctoral research develops neural networks for detecting security-relevant phenomena in visual data, with a focus on object detection under adverse conditions, thermal imaging, adversarial robustness of detection models, and UAV and counter-UAV detection for real-time situational awareness. His work bridges security engineering and applied artificial intelligence. Alongside his security research, he contributes to biomedical AI projects at the LERCO centre, including ECG segmentation and biometric identification. He holds degrees in physical security engineering and in informatics and physics, and previously worked for several years as a safety technician and lecturer in occupational and fire safety, giving him a practitioner’s perspective on how detection technologies translate into operational security practice. He also serves as an independent quality assurance evaluator for the Czech National Accreditation Bureau, the Slovak Accreditation Agency,, and is a member of IEEE and its Computational Intelligence Society. Within NetSec he participates in WG1 and WG3, where he is interested in connecting machine learning methods for visual threat detection with the wider European security knowledge base. He welcomes collaboration on detection under adverse conditions, adversarial robustness, and the responsible deployment of AI in security-critical settings.