Dr. Daniel Sonntag

German Research Center for Artificial Intelligence, DFKI 
66123 Saarbr├╝cken
Principal Researcher and Research Fellow
Editor-in-Chief of the German Journal of Artificial Intelligence
Editor-in-Chief of Cognitive Technologies

His research interests include intelligent user interfaces, natural language processing, information retrieval and mining, dialogue systems, common-sense modelling, and semantic (explainable) machine learning methods for cognitive computing and improved usability.
This includes multimodal multisensor interfaces for medical and health systems and Industry 4.0 in particular, common-sense and (interactive) machine learning methods for human computer interfaces, knowledge discovery, information extraction, and cognitive modelling with ontologies.
He has published over 130 scientific articles, and has been recipient of the German High Tech Champion Award in 2011 and the AAAI Recognition and IAAI Deployed Application Award in 2013. As a principal investigator he leads both national and European projects from the Federal Ministry of Education and Research, the Federal Ministry for Economic Affairs and Energy, and Horizon 2020.
His recent application of multimodal multisensor interfaces is now having industrial impact,  for example SmartWeb's multimodal interaction design and technical infrastructure by Apple (Siri).
Publications DBLP, DFKI database, Google Scholar
Books Question Answering (SmartWeb)
Multimodal Multisensor Interfaces
News (medical systems)  News (smart factories)
  Main Projects Artificial Intelligence in Medicine
Smart Factories and Industry 4.0
Old homepage
University Courses He has been teaching since 2010 at Saarland University and the Technical University of Kaiserslautern.
Intelligent User Interfaces
Advances in Multimedia Information Extraction

Natural Language Access to Big Data (Fall Symposium)
Semantic Web Technologies for HCI and Information Retrieval
Contact sonntag@dfki.de, my Applied AI research group
& I direct the research group Interactive Machine Learning.
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