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Jan Sosulski

sosulski BSDLab 
Albertstr. 23
D-79104 Freiburg im Breisgau 
Office: 00.009 (ground floor)


Phone:   +49 761 203 5330

Research Interests

  • Bayesian Optimization and Control
  • Machine learning from few training data
  • Domain-specific spatio-temporal covariance estimation
  • Unsupervised learning

 

About me

11/2017 -
now
  • PhD student at the BSDLab.

10/2014 -
08/2017
  • MSc. Computer Science at the University of Freiburg. Specialization area: cognitive technical systems.
09/2011 - 09/2014
  • BSc. Business Informatics at the DHBW Mannheim. Integrated degree program with company partner SAP AG in Walldorf, Germany.

 

Publications

  • Sosulski, Jan, and Michael Tangermann. "Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces." arXiv preprint arXiv:2202.02001 (2022).
  • Meinel, Andreas, Sosulski, Jan, Schraivogel, Stefan, Reis, Janine, and Michael Tangermann. "Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction." IEEE Transactions on Neural Systems and Rehabilitation Engineering 29 (2021): 1806-1816.
  • Sosulski, Jan, Jan-Philipp Kemmer, and Michael Tangermann. "Improving covariance matrices derived from tiny training datasets for the classification of event-related potentials with linear discriminant analysis." Neuroinformatics 19.3 (2021): 461-476.
  • Sosulski, Jan, Hübner, David, Klein, Aaron, and Michael Tangermann. "Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints." arXiv preprint arXiv:2109.06011 (2021).
  • Sosulski, Jan, and Michael Tangermann. "Spatial filters for auditory evoked potentials transfer between different experimental conditions." 8th GBCIC. 2019. Best Poster award.
  • Sosulski, Jan, and Michael Tangermann. "Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces." 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019.