Living Labs
VSB-TUO

Where research meets real-world innovation

Living Labs at VSB – Technical University of Ostrava bring together cutting-edge research, advanced technological infrastructure and industry collaboration. We develop and test solutions in artificial intelligence, robotics, autonomous mobility, biomedical engineering, signal processing, cybersecurity, Industry 4.0 and space technologies.

Choose the Lab

Explore our specialized laboratories where scientific expertise meets experimental development, testing and technology validation in real-world and near-real-world conditions.

From artificial intelligence, cybersecurity and signal processing to autonomous systems, smart manufacturing, healthcare and space technologies.

AIM Lab

Applied artificial intelligence, machine learning, industrial data analytics, and mathematical optimization for manufacturing and logistics — a strategic partnership between FEI VSB-TUO and ŠKODA AUTO.

ComTech Lab

Secure, quantum-safe and intelligent communication networks, from QKD and 5G/6G to IoT, voice security and AI-driven applications.

Cyber Lab

Research at the intersection of artificial intelligence, quantum algorithms, and cybersecurity — malware analysis, intelligent penetration testing, autonomous cyber defence, and agentic AI systems.

Dron Lab

University-wide research facility for UAV/UAS platforms — autonomous systems, specialised sensors, mission-specific payloads, and aerial data for industry, science and research.

Health Lab

Interdisciplinary research in advanced technologies for healthcare and biomedical engineering — biosignal processing, medical imaging, sensing, and AI.

Mobility Lab

Testbed for HIL/PIL/SIL modeling, simulation, and testing of electronic systems — advanced assistance systems and autonomous driving for cars and industrial vehicles.

Modelling Lab

Mathematical modelling, numerical simulation, optimization and high-performance computing for demanding engineering problems and industrial development.

Nanorobots Lab

International research laboratory led by Prof. Martin Pumera, working at the intersection of nanotechnology, robotics, materials science, electrochemistry and biomedical engineering.

Photonics Lab

Advanced optical communications and fiber-optic sensing, from next-generation passive optical networks to monitoring for industry, infrastructure, the environment and healthcare.

RF & EMC Lab

RF measurements in an antenna anechoic chamber, antenna design and characterization. Pre-certification EMC testing, including EMI, EMS and ESD. R&D in RF technologies and EM systems.

Signal Lab

Research and development of advanced signal processing methods with emphasis on practical implementation in technical and biomedical applications.

Smart Factory

Comprehensive platform built on Industry 4.0 principles — a space for interaction and cooperation between academia and industrial partners at VSB-TUO.

TL-3

Space Lab

Multidisciplinary, mission-oriented research platform integrating space radiation physics, sensors, AI, onboard computing, IoT, and biomedical engineering into complete systems for space missions.

TL-3

Publications

Our research teams publish their results in leading international scientific journals.

Explore the latest publications and research outputs from across the Living Labs and their research areas.

 

Novák V., Bezděk T., Zelinka I., Das S., Beseda M.
A longitudinal analysis of the CEC single-objective competitions (2010–2024) and implications for variational quantum optimization
A longitudinal analysis of the CEC single-objective competitions (2010–2024) and implications for variational quantum optimization
Swarm and Evolutionary Computation, 107, art. no. 102469, 2026.
Macháček Z., Hercík R., Václavík A., Zemánek J., Hameed I. A., Koziorek J.
Modern trends and industrial use cases of digital twin technology with 3D behavioral representation
Modern trends and industrial use cases of digital twin technology with 3D behavioral representation
Journal of Intelligent Manufacturing, 37, 3887–3920, 2026.
Hrubý, Dan; Hrubá, Eva; Černý, Martin; et al.
Research of Fall Detection and Fall Prevention Technologies: A Review
Research of Fall Detection and Fall Prevention Technologies: A Review
Sensors, 2026.
Yohannan A., Vaghasiya J. V., Sonigara K. K., Pumera M.
Lunar regolith simulant-based triboelectric nanogenerators: Toward sustainable energy harvesting from resources on the moon
Lunar regolith simulant-based triboelectric nanogenerators: Toward sustainable energy harvesting from resources on the moon
Applied Materials Today, 48, 103071, 2026.
Skula M., Pies M., Hajovsky R., Velicka J., Vala D.
Multi-criteria selection of a synchronisation word for low-power IoT receivers based on the IQRF standard
Multi-criteria selection of a synchronisation word for low-power IoT receivers based on the IQRF standard
Scientific Reports, 16, art. no. 8777, 2026.
Velluvakandy R., Ju X., Pumera M.
Artificial chemotaxis in micro/nanomotors
Artificial chemotaxis in micro/nanomotors
Nature Communications, 17, 5275, 2026.
Zeman, D.; Mehić, M.; Vozňák, M.
A Feasibility Analysis of Quantum-Safe 5G Roaming
A Feasibility Analysis of Quantum-Safe 5G Roaming
IEEE Open Journal of the Communications Society, 7, 2026.
Leal-Junior A., Silveira M., Kepak S., Nedoma J., Martinek R., Marques C.
Comprehensive review of distributed acoustic sensing technology: principles, configurations, applications and emerging trends
Comprehensive review of distributed acoustic sensing technology: principles, configurations, applications and emerging trends
Opto-Electronic Advances, 2026.
IF = 22.4 (2025)
Chakraborty P., Bandyopadhyay A., Bhattacharyya S., Platos J.
IndiVNet: A region adaptive semantic image segmentation for autonomous driving in unstructured environments
IndiVNet: A region adaptive semantic image segmentation for autonomous driving in unstructured environments
Scientific Reports, 16 (1), art. no. 2468, 2026.
Jaros R., Majidzadeh Gorjani O., Barnova K., Lajdolf M., Martinek R., Bilik P., Danys L.
Automated recognition of worker activity using machine learning and multi-sensor fusion
Automated recognition of worker activity using machine learning and multi-sensor fusion
Applied Soft Computing, 189, art. no. 114473, 2026.
Bančík K., Konečný J., Stankuš M., Hercík R., Koziorek J., Markevičius V., Andriukaitis D., Prauzek M.
Batteryless IoT Sensing Using Thermoelectric Energy Harvesting from Industrial Motor Waste Heat
Batteryless IoT Sensing Using Thermoelectric Energy Harvesting from Industrial Motor Waste Heat
Sensors, 26 (5), 1644, 2026.
Kauzlaričová, Terezie; Provazník, Valentýna; Mahrová, Vendula; Jurek, František; Augustynek, Martin; et al.
A dataset of paired auscultatory and oscillometric blood pressure measurements from routine clinical practice
A dataset of paired auscultatory and oscillometric blood pressure measurements from routine clinical practice
Scientific Data, 2026.