Signal and Information Processing for Intelligent Systems SIGIPRO is a cross-disciplinary Department created in 2021 at SimulaMet. At this Department, we work in the areas of Signal Processing, Data Science, and Machine Learning for multi-sensor data and information systems. Our work also includes the areas of Distributed intelligence, Optimization, and Control for cyber-physical systems and networks. EDOS: Effective Digitalization of Public Sector The aim of EDOS is to provide knowledge about what leads to successful digitalization in the public sector and to disseminate knowledge that leads to higher efficiency and more value creation. Department of Holistic Systems Our goal is to investigate and solve real-world problems in the area of intelligent distributed systems. Department of Machine Intelligence MIND aims at advancing frontiers of machine learning and data mining by developing novel methodologies and algorithmic solutions for the analysis of high-dimensional data in science and industry.

SimulaMets research projects are both internally and externally financed. We collaborate with universities both in Norway and in other countries, as well as with industry. Filter Raksha: 5G Security for Critical Communications Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars FFC: Female Football Centre TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion SMIL: SimulaMet Interoperability Lab DeCipher GAIA UPSKILL 5G-VINNI: 5G Verticals INNovation Infrastructure LUCS: Learning to Understand and Control nation-wide Smart grids of energy prosumers MONROE: Measuring Mobile Broadband Networks in Europe NEAT: A New, Evolutive API and Transport-Layer Architecture for the Internet MobRob: Resilient Networks Mobile Broadband Measurements