Archives: Research Groups
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Research Groups
Research
Learn moreThe COIN group was established in February 2021 and is part of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS) of the Department of Computer Science. We use computational methods and data-driven models in user interaction research.
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Research Groups
Computational Interaction
Learn moreThe Computational Interaction (COIN) group addresses both fundamental and applied research activities in human-computer interaction, machine learning, information retrieval and natural language processing.
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Research Groups
Individual and Collective Reasoning (ICR)
Learn moreThe Individual and Collective Reasoning (ICR) group’s goal is to develop and investigate comprehensive formal models and computational realisations of individual and collective reasoning and rationality.
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Research Groups
Research
Learn moreIn Model-Driven Engineering (MDE), models serve as the primary artifacts for system development. It’s worth noting that modeling languages and model transformations can also be uniformly considered as models within the context of MDE. Consequently, the quality of models and their effective creation are critical factors for the success of the MDE process. Our approach…
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Research Groups
Foundation of Model-Driven Engineering (FMDE)
Learn moreThe Foundation of Model-Driven Engineering (FMDE) group is focused on the fundamentals of Model-Driven Engineering (MDE) and the applications thereof.
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Research Groups
Join us
Learn moreIf you are an early- to mid-career researcher seeking a stimulating environment to grow and contribute, please check the recruitment details below. Our team seeks individuals with diverse backgrounds, including computer science, media studies, or cognitive science. A key requirement is that your experience and skills align with our main research topics.
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Research Groups
Research
Learn moreThe COaST group’s research is inherently interdisciplinary and takes a holistic approach encompassing both basic research as well as an applied stance in which fundamental results are incorporated into concrete prototype applications and experiences.