Human-Aware AI
The goal for Human-Aware AI is to develop intelligent systems that can work in synergy with human partners in complex dynamic environments. When intelligent systems are human aware, this means that the system adapts to the task of the human partner in its variations, the situation in its dynamics and uncertainty and the cognitive state of the human partner in-the-loop.
In our research group, dynamic mental models are developed that can, for example, anticipate the human in the interaction or identify intentions of the human partner.
Human-Robot Interaction
Human-Robot Interaction (HRI) has many facets. Social robots are increasingly coming into contact with people in everyday life. Their task is, for example, to help in education, in the public sector, in shopping centers or elderly people in nursing homes.
It is therefore becoming increasingly important for human-robot interactions to find ways to achieve acceptance, good cooperation and collaboration.
Quantum and Intelligent Computing
In the Quantum and Intelligent Computing (QIC) research group, we deal with topics related to quantum computing, artificial intelligence, data and information science with and without hardware accelerators.
This involves software and frameworks, high-level quantum programming languages including simulators and optimizations as well as quantum applications including the acceleration of data management tasks.
Welcome
The Institute of Information Systems (IFIS) is one of the Institutes of Computer Science at the Department of Computer Science and Engineering at the University of Lübeck and was established in 1993 as the first Computer Science Institute at the University of Lübeck. Prof. Dr.-Ing. Nele Rußwinkel took over as head of the institute in February 2024.
Well-Founded Artificial Intelligence (well-founded AI) is the central object of research at IFIS. Within this framework, we investigate principles that are fundamental to intelligent systems with provable properties. It is not just a matter of somehow experimentally generating a certain impressive functionality (however fragile) with basic models, as is so often attempted at present, but – building on basic models, but also with reference to relational, non-embedded probabilistic or energy-based structures – to derive understandable architectures with formally tangible properties in order to create intelligent systems that are useful for all people.
