Efficient implementation of parallel algorithms on distributed systems.
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Innovating in the Internet of Things (IoT) and cognitive communications.
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The core activities of the Department of Communication Systems comprise the research, development and design of heterogeneous communication, computer and sensor networks, wireless technologies and next-generation communication services;
the design of new procedures for parallel and distributed computing of computationally intensive problems in various high-performance computing architectures and time-sensitive problems in edge devices; and integration of sensor, communication, scientific computing and data technologies to support digitalization and smart infrastructures.
The Scientific Computing Laboratory is focusing on algorithms for computationally intensive and distributed problems across heterogeneous architectures. Our work includes modelling and numerical simulations of complex systems and processes, multi-criteria optimization, big data analysis, and graph theory, applied also to real life problems in different application areas such as smart grids, chemistry and biology.
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The Intelligent Communications and Computing Laboratory is focusing on the areas of the Internet of Things and cognitive communications. We are advancing smart infrastructures through innovative signal processing, time series modelling, and AI-driven decision-making, including representation learning, deep learning, clustering, and classification. This enhances accessibility, usability, and efficiency in networked embedded systems.
Visit SiteResearch from Dr. Blaž Bertalanič and Dr. Carolina Fortuna of has earned...