The laboratory focuses on the development of intelligent sensor networks, data acquisition and analysis using machine learning, and the deployment of results in embedded systems and web services. It employs advanced computing infrastructure and open-source tools, specializing in software development for IoT, cloud-based solutions, and a custom Linux distribution for space applications (details).
This group develops and applies mathematical models and numerical methods for simulating mechanical and transport phenomena in fractured and porous media. Utilizing proprietary software tools such as Flow123d and advanced data visualization, it provides accurate models applicable in hydrogeology and the study of composite materials (details).
The laboratory specializes in modeling complex geochemical and multiphysical processes, particularly in groundwater systems, integrating them with measurement data interpretation and environmental information systems development. It offers advanced methods for data collection and analysis, the creation of decision support systems, and collaboration across multidisciplinary teams (details).
The laboratory focuses on the development and application of interferometric and holographic techniques for non-contact, non-destructive measurements of physical quantities with high spatial resolution. Equipped with state-of-the-art optical instrumentation, it offers precise 3D visualizations, microscopic measurements, and dynamic analysis of both mechanical and biological structures (details).
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