MG_3091Q_small.jpg Email: sebastian.buschjaeger At sign tu-dortmund.de
Phone: 0231/755-8499
Fax: 0231/755-5105
Room-No.: OH12 R4.017


Research topics

  • Machine Learning: Ensemble learning, Model application, Gaussian processes, submodular functions
  • Computerarchitecture: Architecture-dependent optimizations and code generation, custom architectures/FPGAs, embedded devices


Talks & presentations

  • On-Site Gamma-Hadron Separation with Deep Learning on FPGAs slides
  • FastInference – Applying Large Models on Small Devices at SFB 876 Summerschool 2020 slides, video
  • Gaussian Model Trees for Traffic Imputation at ICPRAM 2019 slides
  • Realization of Random Forest for Real-Time Evaluation through Tree Framing at ICDM 2018 poster,slides
  • Deep Learning for small devices and FPGAs at 4th International Summerschool for Big Data and Machine Learning 2018: Slides are available here
  • Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data (ECRTS 2018 Journal2Conference) poster,slides
  • Data Summarization on Embedded Systems at IoT-Streaming Workshop (ECML 2017) slides
  • Introduction to Deep Learning at SFB 876 Summerschool 2017: Slides are available here
  • Deep Learning on FPGAs at SFB 876 Summerschool 2017:Slides are available here


Buschjaeger/etal/2020a Buschjäger, Sebastian and Pfahler, Lukas and Buss, Jens and Morik, Katharina and Rhode, Wolfgang. On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, 2020.
Buschjaeger/etal/2020b Buschjäger, Sebastian and Chen, Jian-Jia and Chen, Kuan-Hsun and Günzel, Mario and Hakert, Christian and Morik, Katharina and Novkin, Rodion and Pfahler, Lukas and Yayla, Mikail. Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. 2020.
Buschjaeger/etal/2019a Buschjäger, Sebastian and Liebig, Thomas and Morik, Katharina. Gaussian Model Trees for Traffic Imputation. In Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), pages 243 - 254, SciTePress, 2019. Arrow Symbol
Hakert/Yayla/2019a Hakert, Christian and Yayla, Mikail and Chen, Kuan-Hsun and Br\"uggen, Georg von der and Chen, Jian-Jia and Buschj\"ager, Sebastian and Morik, Katharina and Genssler, Paul R. and Bauer, Lars and Amrouch, Hussam and Henkel, J\"org. Stack Usage Analysis for Efficient Wear Leveling in Non-Volatile Main Memory Systems. In 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2019.
Buschjaeger/2018a Buschjaeger, Sebastian and Chen, Kuan-Hsun and Chen, Jian-Jia and Morik, Katharina. Realization of Random Forest for Real-Time Evaluation through Tree Framing. In The IEEE International Conference on Data Mining series (ICDM), 2018. Arrow Symbol
Buschjaeger/Morik/2017b Buschjäger, Sebastian and Morik, Katharina. Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data. In IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65-I, No. 1, pages 209--222, 2018. Arrow Symbol
Buschjaeger/Morik/2017a Buschjäger, Sebastian and Morik, Katharina and Schmidt, Maik. Summary Extraction on Data Streams in Embedded Systems. In Proceedings of the ECML Workshop on IoT Large Scale Learning From Data Streams, ceur-ws.org, 2017. Arrow Symbol
Morik/etal/2017a Morik, Katharina and Bockermann, Christian and Buschjäger, Sebastian. Big Data Science. In German journal on Artificial Intelligence (KI 2017), Vol. 32, No. 1, pages 27--36, 2017. Arrow Symbol
Buschjaeger/2016a Buschjäger, Sebastian. Online Gauß-Prozesse zur Regression auf FPGAs. TU Dortmund, 2016.
Buschjaeger/etal/2015a Buschjäger, Sebastian and Pfahler, Lukas and Morik, Katharina. Discovering Subtle Word Relation in Large German Corpora. In Proceedings of the 3rd Workshop on the Challenges in the Management of Large Corpora, 2015.
Morik/etal/2015a Morik, Katharina and Jung, Alexander and Weckwerth, Jan and Rötner, Stefan and Hess, Sibylle and Buschjäger, Sebastian and Pfahler, Lukas. Untersuchungen zur Analyse von deutschsprachigen Textdaten. No. 2, Technische Universität Dortmund, 2015.


Thesis Proposals

Supervised Theses