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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

	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

• Dynamical Systems, Reservoir Computing
• Sensorimotor Transformations, Gesture Recognition
• Cognitive Robotics, Human-Robot Interaction
• Mathematical Modelling of Neural Information Processes

Scientific Connection

Follow me on Academia.edu

http://www.mendeley.com/profiles/doreen-jirak/

Misc

I am also

• reviewer, e.g. for HRI 2014
• part of the organizing committee for ICANN 2014
• recipient of the Körber Stiftung funding for young academics Körber Fond Nachwuchswissenschaftler
• representative of Teaching and Research Associates at the department together with Dr. Cabac and Dr. Moldt
• supporting the Girls Day with talks and demonstrations

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)

Teaching

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:

• Determining Optimal Feature-Vector Length for Text Categorization Approaches, Marco Jendryczko (BSc Thesis, 2nd reviewer)
• Timescale independent pattern detection with Echo State Networks, Timur Olzhabaev (BSc Thesis, 2nd reviewer)
• Using online gesture learning with Echo State Networks to control an iCub robot head, Konstantin Kobs (BSc Thesis, 2nd reviewer)
• Inertial Measurement Unit Based Multi User Gesture Recognition, Stephan Tietz (BSc Thesis, 2nd reviewer)
• Application and Analysis of Classification in Textcategorization: A Comparative Study, Stefan Thomas (BSc Thesis)
• Improved Full-DOF Hand Pose Estimation Using Depth Images, Dennis Hamester (MSc Thesis)

SoSe 2016

• Tutorial: Data Mining, Fr 10-13 Uhr + 14-17 Uhr, D-114 RZ PC-Pool (every other week)

WiSe 2015/2016

• Übung (BSc): Rechnerstrukturen (AB TAMS), Di 11-12 + 12-13 + 13-14, Room F-334

SoSe 2015

• Tutorial: Data Mining, Do 10-13 Uhr + 14-17 Uhr, D-114 RZ PC-Pool (every other week)

WiSe 2014/2015

• Übung (BSc): Rechnerstrukturen (AB TAMS), Di 11-12 + 12-13 + 13-14, Room F-334
Aufgabenblätter
• Übung(MSc): Multidimensionale und Multimodale Signale (Exercise sheets available via STINE)

SoSe 2014

• Programming practical course (BSc): Data Mining, Do 10-13 Uhr, D-114 + 14-17 Uhr, D-118 RZ PC-Pool (every other week)

WiSe 2013/2014

• Übung (BSc): Rechnerstrukturen (AB TAMS), Mo 12-13 + 13-14 Uhr, F-334, Di 10-11 + 11-12 Uhr, Raum F-334
Aufgabenblätter

SoSe 2013

• Projekt (BSc): Evolution interaktiver Agenten, Mi 14-17 Uhr + Fr 14-17 Uhr, WTM PC-Pool
• Tutorial: Data Mining, Fr 10-13 Uhr, D-114 RZ PC-Pool (every other week)

WiSe 2012/2013

• Übung (BSc): Rechnerstrukturen (AB TAMS), Di 10-11, 11-12, Raum D-129, 12-13 Raum F-534
Aufgabenblätter
• Praktikum (BSc): Grundlagen der Wissensverarbeitung, Mo: 12-14, Raum D-220

SoSe 2012

• Übung (BSc): Formale Grundlagen der Informatik (AB TGI), Mi: 12-14 Uhr, F-235 Informationen
• Projekt (BSc): Evolution interaktiver Agenten, Mi 14-17 Uhr + Fr 14-17 Uhr, WTM PC-Pool
• Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235

WiSe 2011/2012

• Praktikum (BSc): Grundlagen der Wissensverarbeitung, Mi: 12-14, Raum F-132
• Übung (BSc): Rechnerstrukturen (AB TAMS), Mo: 13-14 Uhr, Raum F-009
• Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235

SoSe 2011

• Übung (MSc): Multidimensionale und Multimodale Signale (AB KOGS); Mo: 16-18 Uhr, Raum F-009 Informationen
• Proseminar (BSc): Künstliche Intelligenz, Fr 12-14 Uhr, F-235

WiSe 2010/2011

• Übung: Rechnerstrukturen (AB TAMS), Mo: 12-14, Raum F-334
• Praktikum: Grundlagen der Wissensverarbeitung, Mi: 12-14, Raum F-334
• Proseminar Künstliche Intelligenz

Publications

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.	https://www.youtube.com/watch?v=urHTixyufxs
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.

Affiliation

EUCOG II	http://www.eucognition.org/
EUCOG III
Gesellschaft für Informatik (GI)	http://www.gi.de/