Prof. Dr. Antonio Krüger

Organizational unit Cognitive Assistants

Contact +49 681 85775 5006 (Saarbrücken)

ceo@dfki.de

https://ceo.dfki.de

Address (Saarbrücken) Gebäude D3 4Stuhlsatzenhausweg 366123 Saarbrücken

Publications

All publications

How low can you go: evaluating electrode reduction methods for EEG-based speech imagery BCIs
Maurice Rekrut; Johannes Ihl; Tobias Jungbluth; Antonio Krüger
In: Hasan Ayaz (Hrsg.). Frontiers in Neuroergonomics, Vol. 6, Pages 1-18, Frontiers Media SA, 7/2025.
FEDWELL: Life-Long Federated User and Mental Modeling for Health and Well-being
Sabine Janzen; Prajvi Saxena; Cicy Agnes; Muhammad Ebad Ullah Khan; Amr Gomaa; Michael Feld; André Zenner; Pascal Lessel; Julian Wolter; Florian Daiber; Rafael Math; Niko Kleer; Tim Schwartz; Antonio Krüger; Wolfgang Maaß
In: RPEatCAiSE25: Research Projects Exhibition at the International Conference on Advanced Information Systems Engineering, June 16-20, 2025, Vienna, Austria. International Conference on Advanced Information Systems Engineering (CAiSE-2025), 6/2025.
Enhancing Plant Variety Discovery Process with Visual Trait Assessment in VR
Muhammad Moiz Sakha; Florian Daiber; Matthias Enders; Christoph Tieben; Benjamin Kisliuk; Antonio Krüger
In: 2025 IEEE Conference Virtual Reality and 3D User Interfaces (VR). IEEE Conference on Virtual Reality and 3D User Interfaces (VR-2025), France, Pages 125-134, IEEE, 3/2025.

Profile

Short biography

Antonio Krüger is the CEO and Scientific Director of Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), as well as the Scientific Director of the Cognitive Assistance Systems research department at DFKI. Krüger has been a professor of computer science and head of the Ubiquitous Media Technology Lab at Saarland University since 2009 and is an internationally renowned expert in human-machine interaction and artificial intelligence (AI). His research focuses on intelligent user interfaces, user modeling, cognitive sciences, and ubiquitous computing. Professor Krüger studied computer science at Saarland University, completing his doctorate in the subject in 1999.

CAMELOT
Continuous Adaptive Machine-Learning of Transfer of Control Situations
A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An…
EXPECT
Exploring the Potential of Pervasive Embedded Brain Reading in Human Robot Collaborations
The main goal of the EXPECT project is the development of an adaptive, self-learning platform for human-robot collaboration that not only enables various types of active interaction, but is also…
RICAIP
Research and Innovation Centre on Advanced Industrial Production
The Research and Innovation Centre on Advanced Industrial Production (RICAIP) unlocks the research and innovation capacity of CIIRC CTU and CEITEC BUT, by establishing a strong partnership with…
WALL-ET
Warehouse Autonomous Lean Logistics Entity for Transportation
The goal of the German-Korean cooperation project WALL-ET is the development of a social transport robot, which can be used in Industrie 4.0 as well as in retail trade of the future. Through the…
Cluster 4.0
Cluster for Industry 4.0: Methodology for System Integration
The project addresses the issue of system integration and the creation of a unified and flexible software architecture for adaptable manufacturing systems using a service oriented paradigm – the…