Sie sind hier: Startseite Mitarbeiterinnen und … Daniel Brand

Daniel Brand

Personal Homepage

 

Daniel Brand

research associate

phone: 0049 (0)761 203 4937

fax: 0049 (0)761 203 4938

e-mail: Daniel.Brand@cognition.uni-freiburg.de

room: 02-012

Center for Cognitive Science

Hebelstraße 10

D-79104 Freiburg, Germany

 

Research Interests

  • Recommender Systems
  • Predictive Modelling of Human Reasoning
  • Web experiments
  • Human-Computer Interaction
 

Projects

  •  CCOBRA (Cognitive COmputation for Behavioral Reasoning Analysis) Framework: Online predictive modelling of human reasoning. [github][website]

Vita

  • since May 2017: Research assistent in SoNaTe (Soziale Nachbarschaft und Technik).
  • 2016: Master of Science in Computer Science, University of Freiburg, Germany

 

Thesis

  • Master Thesis (Computer Science): “Kollaboratives Filtern für Publikationsempfehlungen auf Basis thematischer Gemeinsamkeiten und Unterschiede zwischen Nutzern”
  • Bachelor Thesis (Computer Science): “General Game Playing mit PROST”

 

Teaching

  • Seminar SS 2019: Cross-Domain Modeling of Human Reasoning at the University of Freiburg, Cognitive Computation Lab
  • Mar 2014 - Aug 2014: Tutoring for "Cloud Computing" at the University of Freiburg, Germany, Department for Databases and Information Systems
  • Mar 2012 - Sep 2012: Tutoring for "Software Engineering" at the University of Freiburg, Germany, Department for Software Engineering

 

Publications

  • Truong, N. H., Brand, D., von Stülpnagel, R. (2019). How usable is Galaxy? A usability evaluation of Galaxy [version 1; not peer reviewed]. F1000Research, 8:1035 (poster). doi: 10.7490/f1000research.1116995.1
  • Brand, D., Riesterer, N., & Ragni, M. (2019). On the Matter of Aggregate Models for Syllogistic Reasoning: A Transitive Set-Based Account for Predicting the Population. In Stewart T. (Ed.), Proceedings of the 17th International Conference on Cognitive Modeling. [pdf][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2019). Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance. In Stewart T. (Ed.), Proceedings of the 17th International Conference on Cognitive Modeling. [pdf][slides][code]
  • Riesterer, N., Brand, D., Dames, H., & Ragni, M. (2019). Modeling Human Syllogistic Reasoning: The Role of "No Valid Conclusion", In Goel, A., Seifert, C., & Freska, C. (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society. [code]
  • Ragni, M., Dames, H., Brand, D., & Riesterer, N. (2019). When Does a Reasoner Respond: Nothing Follows?, In Goel, A., Seifert, C., & Freska, C. (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society.
  • Riesterer, N., Brand, D., & Ragni, M. (2018). The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning. In: Trollmann F., Turhan AY. (Eds.) KI 2018: Advances in Artificial Intelligence. KI 2018. Lecture Notes in Computer Science, vol 11117. Springer, Cham (pp. 415-421). [poster][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2018). A Machine Learning Approach for Syllogistic Reasoning. In C. Rothkopf et al. (Eds.), Proceedings of the 14th Biannual Conference of the German Society for Cognitive Science (p. 54). [poster]
  • Truong, N. H., Brand, D., Ewert, C., Wächter, L., & von Stülpnagel, R. (2018). Developers' Needs and Severity Conceptions of Usability Problems. In Dachselt R., Weber G. (Eds.) Mensch und Computer 2018 – Tagungsband, 13-22. Dresden, Germany, September 2nd-5th 2018. doi: https://doi.org/10.18420/muc2018-mci-0200
  • Jonathan Kottlors, Daniel Brand and Marco Ragni. “Modeling Behavior of Attention-Deficit-Disorder Patients in a N-Back Task”. In Proceedings of 11th International Conference on Cognitive Modeling (ICCM 2012), pages 297-302, 2012.