MIN Faculty
Department of Informatics
Knowledge Technology


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Dipl.-Inf. Doreen Jirak This page is inactive and will not be updated
For future informations please refer to: https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/jirak.html

Teaching and Research Associate of Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-209
Phone: +49 40 428 83 2517
Email: jirak at informatik.uni-hamburg.de Office hour: by arrangement


Research Interests

Scientific Connection

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Curriculum Vitae

10/2002 Diplomstudiengang Informatik (+ Medicine as minor), University of Hamburg, Germany
2004-2006 Student assistant: Support of the commercial employees and development of Java-based archive software, Property Management GbR Dude, Hamburg
2006-2008 Student assistant: Neuro-and Pathophysiologie, University Medical Centre Eppendorf (UKE)
2007 Student assistant: Technical Information Systems (TIS), Department of Informatics, University of Hamburg
2008-end 2009 Student assistant: Project collaboration Systems Neuroscience (UKE) and University of Luebeck
10/2009 Student assistant: Cognitive Systems Group (KOGS), Department of Informatics, University of Hamburg (Informatik Schnupperstudium: 3D Museum)
2010-2016 Research and Teaching Associate of Knowledge Technology Group (WTM), Department of Informatics, University of Hamburg


Diploma Thesis

Networks in the Brain: Anatomical links between Functional Nodes
Department of Informatics, University of Hamburg [Conjunction with the ROSSI EU-Project]

1st Supervisor: Prof. Dr.-Ing. H.S. Stiehl (University of Hamburg, AB KOGS)

2nd Supervisor: Prof.Dr. F. Binkofski (University of Luebeck, Department of Neurology)

Advisor: Dr. Mareike Menz (University of Luebeck)



Supervision of Bachelor or Master Thesis: Students should have background in computer vision techniques and neural networks, as well as interest in the acquisition of experimental data and scientific evaluation. Interest in developing robot interaction scenarios are highly welcome. Good programming skills (C++, Java, Python, Matlab) and curiosity to explore a topic in also a self-contained manner are mandatory. Please contact me via e-mail for topics and discussion or refer to BSc & MSc Theses

Currently I am supervising: 1 MSc Thesis, 1 Independent Study (IAS)

Completed Theses I supervised: SoSe 2016 WiSe 2015/2016 SoSe 2015 WiSe 2014/2015 SoSe 2014 WiSe 2013/2014 SoSe 2013 WiSe 2012/2013 SoSe 2012 WiSe 2011/2012 SoSe 2011 WiSe 2010/2011



Katrin Sakreida, Isabel Effnert, Serge Thill, Mareike M. Menz, Doreen Jirak, Claudia R. Eickhoff, Tom Ziemke, Simon B. Eickhoff, Anna M. Borghi, Ferdinand Binkofski, Affordance processing in segregated parieto-frontal dorsal stream sub-pathways Neuroscience & Biobehavioral Reviews, Vol. 69, pp. 89-112, Elsevier October 2016


Barros, P., Jirak, D., Weber, C., Wermter, S. Multimodal emotional state recognition using sequence-dependent deep hierarchical features, Neural Networks, Volume 72, pp. 140-151, doi:10.1016/j.neunet.2015.09.009, Elsevier, 2015


Jirak, D., Barros, P.,Wermter, S. Dynamic Gesture Recognition Using Echo State Networks, Proceedings of 23th European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15, pp. 475-480, Bruges, Belgium, 2015.


Barros, P., Parisi, G. I., Jirak D. and Wermter, S. Real-time Gesture Recognition Using a Humanoid Robot with a Deep Neural Architecture. Proceedings of the IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), pp. 83-88, Spain, November, 2014.


Parisi, G.I., Jirak, D., Wermter, S. HandSOM - Neural Clustering of Hand Motion for Gesture Recognition in Real Time. In Vargas, P.A., et al., editors, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2014) , pp. 981-986, Springer Heidelberg. Edinburgh, Scotland, UK, August 2014.


Hamester, D., Jirak, D., Wermter, S. Improved Estimation of Hand Postures Using Depth Images. Proceedings of the 16th International Conference on Advanced Robotics (ICAR 2013), Montevideo, UY, November 2013.


Meins, N., Jirak, D., Weber, C., Wermter, S. Adaboost and Hopfield Neural Networks on Different Image Representations for Robust Face Detection. Proceedings of the 12th International Conference on Hybrid Intelligent Systems (HIS 2012), pp. 531-536, IEEE. Pune, IN, December 2012.


Jirak, D., Menz, M.M., Buccino, G., Borghi, A., Binkofski, F. Grasping language - A short story on embodiment. Consciousness & Cognition. Vol. 19(3), pp. 711-720, Elsevier, 2010.


Gesellschaft für Informatik (GI)