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Data & Knowledge Engineering Group

The main focus of the research group Data & Knowledge Engineering is the development of methods for interactive information retrieval and exploration. Besides the design of adaptive user interfaces, one research topic is the development of methods to adapt a retrieval system dynamically to the needs and interests of the user. This involves the development of methods, that monitor and analyse the behaviour of individual users to obtain information about their needs and interests. This information will be used to reorganise the structure and the presentation of the considered document collection and search results in order to support users individually. In our offered courses we convey students a basic introduction in used technologies and offer manifold possibilities for collaboration in current research projects.

ICHMS 2024

25.07.2023 -

The 4th IEEE International Conference on Human-Machine Systems (ICHMS) will be held in Toronto, Ontario, Canada, May 15-17, 2024, as an in-person event. The theme of the 4th ICHMS is “Trustworthy Human-Autonomy Teaming”. The conference will specifically cover progress and contributions on brain-inspired autonomous systems at multiple scales, including cognitive science, engineering, and design for safe and trusted human-autonomy teaming; technological aids for verifiable artificial intelligence (AI) decisions; trust modeling, measures, and management, and fundamental issues of trust and barriers to adoption of AI-enabled autonomy in complex socio-technical systems.

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Handbook Human-Machine Systems published

25.07.2023 -

We are pleased to announce the publication of the Handbook of Human-Machine Systems. The editors are Giancarlo Fortino, David Kaber, Andreas Nürnberger, and David Mendonça. In the Handbook of Human-Machine Systems, a team of distinguished researchers provides a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book provides a big-picture view of the state of the art in HMS research and technology. Contributors cover brain-machine interfaces and systems, including assistive technologies such as devices that enhance locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and applications.

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Dissertation defense of Philipp Ernst

05.05.2023 -

On 05.05.2023 the dissertation defense of Philipp Ernst took place. He successfully defended his dissertation on "Prior Knowledge for Deep Learning Based Interventional Cone Beam Computed Tomography Reconstruction". The doctoral committee consisted of the chairman Prof. Dr. Sebastian Stober, the reviewers Prof. Dr. Andreas Nürnberger, Prof. Dr. Georg Rose and Prof. Dr. Giuseppe Placidi as well as the commission member Prof. Dr. Christian Hansen. Philipp, we are very happy for you and congratulate you!

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Dissertation defense of Andargachew Mekonnen Gezmu

20.04.2023 -

On 18.04.2023 the first dissertation defense in the AG DKE took place this year: Andargachew Mekonnen Gezmu successfully defended his dissertation on "Subword-Based Neural Machine Translation for Low-Resource Fusion Languages". The doctoral committee consisted of the chairman Prof. Dr. Gunter Saake, the reviewers Prof. Dr. Andreas Nürnberger, Prof. Dr. Ernesto William De Luca and Prof. Dr. Michael Gasser as well as the committee member Prof. Dr. Stefan Schirra. We congratulate you warmly, Andar!

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Productive Teaming symposium for interdisciplinary dialogue

03.04.2023 -

The research initiative "Productive Teaming" brought together more than 40 scientists from different institutions of the Chemnitz-Ilmenau-Magdeburg Research and Innovation Network ("CHIM") on March 17, 2023 to discuss cooperation opportunities on the topic of "Teaming between Human and Artificial Agents" and to develop solution approaches for increasing productivity.

For the full article, visit the CHIM Network website at forschungsnetzwerk-chim.de.

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Last Modification: 04.04.2023 - Contact Person: