Team

Tomáš Goldmann

Člen

Tomáš's current research focuses on the use of real-time neural networks in embedded devices. In particular, he is interested in optimising neural networks for face detection, recognition and liveness detection.

He also has a long-term research focus on the evaluation of face recognition algorithms in specific situations (rotation, compression, etc.). He is also working on the development of approaches to generate facial datasets that preserve the anthropometric properties of real people. 

Filip Orság

ČLEN

Filip is one of the founding members of STRADE. His Ph.D. thesis was in the field of biometrics, focusing on speech recognition and later on speaker recognition by speech. Gradually, however, he moved to the field of image processing and has carried out several projects in this area.

Ondřej Kanich

ČLEN

Ondra is a long-standing member of the group with extensive experience in fingerprint research. Specifically, the detection and classification of their damage. This is directly related to the generation and simulation of damage in synthetic fingerprints.

He is also professionally involved in the simulation of production systems (conveyors and other lines). As part of his work at the Faculty, he teaches biometrics and supervises students' qualification theses.

Martin Sakin

ČLEN

Martin's main focus is the detection of hand or finger liveness using multispectral illumination. This involves the creation of forgeries and the development of laboratory biometric sensing equipment.

In addition to his research, he does commercial work developing and managing information systems in the Django framework for a Belgian university. I teach labs in biometrics and tutorials focusing on fundamentals or low-level programming.

Štěpán Rydlo

ČLEN

Štěpán's main focus is the extraction of finger blood flow from an image, which is related to sensor development and data processing. He is also working on a project to develop a solution for laser beam detection using optical sensors. In addition to these devices, he also has experience in creating various compilation hardware solutions.

Previously, he worked on radio signal processing for object localization using the principle on which GNSS systems are based.

Andrii Kavetskyi

ČLEN

Andrii's research focuses on biomedical data, specifically the evaluation, detection and segmentation of pathologies in retinal images.

Filip Pleško

ČLEN

Filip is involved in facial recognition research. He is mainly focused on analyzing attacks on these systems and finding ways to defend against them. As part of his long-term research, he is working on improving 2D and 3D facial recognition systems.

Lukáš Semerád

ČLEN

Lukáš assesses the accuracy and reliability of biometric systems that use iris and retina recognition. He also researches the impact of eye diseases on the retina.

His research has also included determining the amount of biometric entropy in the retina, an algorithm for reliably recognizing people from their retinas. He has extensive teaching experience at both the high school and college levels, where he has taught low-level programming, foundations of artificial intelligence, biometric systems, and sensor applications.

Samuel Šimún

ČLEN

Samuel is the newest member of our team. His main focus is in the area of machine learning using neural networks, which includes dataset creation, data analysis and preprocessing, and testing neural network architectures.

He also has experience with generative artificial intelligence - methods of its use, development of prompts for neural language models, and deployment of on-premises models. In addition, he has experience applying it to various use cases such as dynamic code generation, answering questions in documents, data analysis, etc.

He also has experience with generative artificial intelligence - methods of its use, development of prompts for neural language models, and deployment of on-premises models. In addition, he has experience applying it to various use cases such as dynamic code generation, answering questions in documents, data analysis, etc.