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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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knowledge and problem-solving skills, supporting students in cultivating their learning and disciplinary identity, design of curricula that could better address students’ learning needs from a learning and
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organizations on projects across disciplines - from games to health, learning to robotics, data to code – in an environment designed for collaboration and technology transfer. The overall goal of the SDU