Algorithmic aspects of learning methods in embedded systems (A02)

• Subject Area: Theoretical Computer Science ; Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

This project aims at developing design paradigms for learning algorithms in embedded systems. For this purpose we would like to identify important features of embedded systems, model these features theoretically, design and analyze algorithms in these models and evaluate the performance of these algorithms to draw conclusions about their efficiency and the predictability of the models. From the obtained insights we would like to derive general algorithmic design paradigms.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 876: Providing Information by Resource-Constrained Data Analysis
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr. Erich Schubert, since 10/2019; Professor Dr. Christian Sohler, until 9/2019; Professor Dr. Jens Teubner, since 1/2015; Professor Dr. Jan Vahrenhold, until 2/2012