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.
The dissertation defense of Johannes Schwerdt took place October 13., 2023. Johannes successfully defended his dissertation on "Information Search Behavior Profiles: Analysis of Search Activities & Behavior Driven Ranking". The doctoral committee consisted of the chairman Prof. Dr. Benjamin Noack, the quite interdisciplinary group of reviewers Prof. Dr. Andreas Nürnberger, Prof. Dr. Anke Huckauf and Prof. Dr. Norbert Fuhr as well as the commission member PD Dr. Claudia Krull. Johannes, we congratulate you for your successful defense and wish you all the best for the future!
Afra'a Ahmad Alyosef's dissertation defense was held on Sept. 28, 2023. She successfully defended her dissertation on "Large Scale Partial- and Near-Duplicate Image Retrieval Using Spatial Information of Local Features". The dissertation committee consisted of the chairman Prof. Dr. Benjamin Noack, the reviewers Prof. Dr. Andreas Nürnberger, Prof. Dr. i. R. Klaus-Dietz Tönnies and Prof. Dr. Anders Hast as well as the committee member Prof. Dr. Michael Kuhn. Afra'a, we congratulate you on passing your dissertation and wish you all the best for the future!
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.
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.
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!