Dr.
Sebastian Buschjäger

Dr. Sebastian Buschjäger is a postdoctoral researcher and the Coordinator of Resource-aware Machine Learning at the Lamarr Institute for Machine Learning and Artificial Intelligence in Dortmund since 2023. As scientific coordinator for the area of Resource-aware Machine Learning he coordinates common research interests related to Resource-aware Machine Learning and TinyML across all four locations, supporting individual research efforts and permanently shaping the institute’s research direction in this area.

Sebastian studied Computer Science in Dortmund with a minor in Electrical Engineering from 2010 to 2016, finishing his Bachelors in 2014 and Masters in 2016. After that, he was a Ph.D. candidate at the Artificial Intelligence Unit of the TU Dortmund University in Germany, where he was a researcher in the Collaborative Research Center SFB 876, project A1. He finished his dissertation in 2022 with distinction (‘Summa cum Laude’) on the topic of ensemble learning with discrete classifiers on small devices.

Current research topics:

• Training and deployment of hierarchical ensembles in which members have the option to reject predicting a given example
• The relationship between Binarized Neural Networks and Random Forests as discrete classifier ensembles
• Implementing an ML-based system for the analysis of PSG data in sleep laboratories to help doctors in their everyday duties (e.g. sleep-stage tagging) for fast/better diagnosis of patients

Special interests:

I am interested in the theoretical properties of (heterogenous) ensembles and their effective realization across many different (heterogenous) devices.