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| Name |
Elke Braun |
| Date of birth |
December 28th 1969 |
| Nationality |
German |
| Room No |
W4-117 |
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| Phone |
+49 521 106-5576 |
| Mail |
elke.braun@uni-bielefeld.de |
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| 2005 |
PhD-Thesis: "A Framework for Integrating Object Recognition Strategies" at Bielefeld University
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| 1991 - 1997 |
Undergraduate Studies in Physics, completed by the Diploma-Thesis: "Aufbau und Charakterisierung eines CCD-Detektorsystems zur ortsauflösenden Reflektometrie mit weicher Röntgenstrahlung" at RWTH Aachen University
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| 1988 - 1991 |
Training as Technical Assistent (Mathematisch-technische Assistentin) at the Rogowski Institute at RWTH Aachen University
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| since 2008 |
Member of the Center of Excellence "Cognitive Interaction Technology"
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| since 2006 |
Member of the Department of Neurobiology headed by Prof. Dr. M. Egelhaaf working on the extraction and automatic analysis of video data concerning the behaviour of flies and bees
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| 1997 - 2005 |
Member of the working group Applied Computer Science headed by Prof. Dr. G. Sagerer at Bielefeld University, working on projects within the the Special Research Center (SFB) 360 concerning computer vision, object recognition
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Analysing the behaviour of flying insects, like flies and bees, promise to give insight into the mechanisms that allow them to accomplisch aerobatic flight manoeuvres and solve orientation tasks in complex environments. Video recording with high-speed cameras constitutes an appropriate technique for studying the behaviour of the insects while influencing them least possible. The resulting flight trajectories illustrate the complexity and variability of behaviour which generally complicates the extraction of principle mechanisms. My research interest lies in the analysis of behavioural data using data mining techniques for generating manageable, quantitative, and comparable descriptions of behaviour as a basis for discovering behavioural principles.
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| Publications in peer-reviewed journals |
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Geurten BRH, Kern R., Braun E. and Egelhaaf M. (2010). A syntax of hoverfly flight prototypes. The Journal of Experimental Biology 213, 2461-2475. doi:10.1242/jeb.036079.
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Braun E., Geurten B., Egelhaaf M. (2010). Identifying Prototypical Components in Behaviour Using Clustering Algorithms. PLoS ONE 5(2): e9361.doi:10.1371/journal.pone.0009361.
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| Ph.D. Thesis |
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A framework for integrating object recognition strategies
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