Michael Feld is working as a full-time researcher in the DFKI’s Automotive Group. His PhD topic is "A Speaker Classification Framework for Non-intrusive User Modeling on the Example of Personalized In-Car Services ". A major part of his work focuses on the topics of user modelling, in particular user adaptation and personalization, as well as speech-based classification. Further research interests include application architecturing, parallel programming and mobile devices. Michael joined DFKI in early 2005 as a student research assistant. After finishing his Diploma thesis in Computer Science at Saarland University on the topic of "Generation of Speaker Classification Modules for Mobile Platforms" in 2006, he became a full-time researcher in the Intelligent User Interfaces (IUI) department headed by Prof. Wolfgang WahlsterSince then, he has been involved in several projects working in key areas such as speaker classification (and more general machine learning tasks), personalization and mobile devices. He has also been part of the Chair of Prof. Wahlster, co-teaching and assisting with lectures and seminars.Specialties: Machine Learning / Pattern Recognition, Speech-based Classification, Application Architecuring, Automotive HMI (Human-Machine Interaction), Mobile Devices, Parallel Programming.
Listed skills include Machine Learning, Pattern Recognition, Artificial Intelligence, Human Computer Interaction, and 14 others.