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Egon L. van den Broek
Human-Centered Computing Consultancy
Vienna, Austria
 

Egon L. van den Broek obtained his MSc (2001) in Artificial Intelligence (AI) and PhD (2005) in Content-Based Image Retrieval (CBIR), and hopes to obtain a second PhD (2011) in affective signal processing. He has held several positions at the Radboud University Nijmegen (RU) and the Vrije Universiteit Amsterdam (VU), both in The Netherlands. Currently, he is an assistant professor in Human Media Interaction at the University of Twente and an assistant professor in Affective Computing at the Radboud University Medical Center Nijmegen, both in The Netherlands. He has taught, coordinated, and developed courses and educational tracks, and has guided almost 50 students at all educational levels.

Apart from his academic career, he is a consultant for Philips Research Europe (Eindhoven, NL), a senior statistician at the United Nations Office on Drugs and Crime (UNODC), and a consultant at the Human-Centered Computing Consultancy (Vienna). In addition, he has been an external expert for The British Academy, Expertises Agence Nationale de la Recherche (ANR), and the Belgium agency for Innovation by Science and Technology (IST). He is a member of ACM, EURASIP, HUMAINE, IAPR, IEEE, and the Human Factors & Ergonomics Society.

Van den Broek has been involved in various national and EU projects over the years. These also reflect his broad interest in AI, man-machine interaction, and research and analysis methods. His main research topics are affective computing and cognitive computer vision. He has (co-)developed a range of systems. These include the CBIR system http://www.m4art.org, an interactive online texture classification system, real-time emotion sensing devices, multimedia and virtual reality demonstrators, and an online scientific user interface testing platform.

He has authored over 130 scientific articles, book chapters, and books. He holds four patent applications, and has received multiple awards. His work has been discussed in dozens of popular press appearances. He is also a frequently invited speaker at conferences. He has been a guest editor, reviewer, chair, and program committee member of various conferences and journals. Additionally, he is the founding editor-in-chief of the Pan Stanford Series in Artificial Intelligence, to be launched in 2011-2012. He has been a reviewer for Computing Reviews since 2005.


     

Musicsim: integrating audio analysis and user feedback in an interactive music browsing UI
Chen Y., Butz A.  IUI 2009 (Proceedings of the 13th International Conference on Intelligent User Interfaces, Sanibel Island, Florida,  Feb 8-11, 2009) 429-434, 2009. Type: Proceedings

Music is omnipresent in modern societies. Consequently, attention to its selection, retrieval, and the maintenance of its collections is increasing. Using MusicSim, the authors introduce a utility to support these tasks. The authors start their...

 

Decision dependability and its application to identity management
Kalka N., Bartlow N., Cukic B.  Cyber security and information intelligence research (Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research, Oak Ridge, Tennessee,  Apr 13-15, 2009) 1-4, 2009. Type: Proceedings

Kalka, Bartlow, and Cukic adopt the work of Kryszczuk and Drygajlo on unimodal and bimodal biometric classification [1], and present a rather straightforward extension to multimodal classification....

 

Handbook of texture analysis
Mirmehdi M., Xie X., Suri J.,  IMPERIAL COLLEGE PRESS, London, UK, 2009. 413 pp. Type: Book

Texture is still not fully understood. Handbooks on both human and machine vision mention texture as an important characteristic of perceptual processes, for a range of applications. Moreover, a vast number of articles on texture, approached from ...

 

Measuring saliency of features using signal-to-noise ratios for detection of electrocardiographic changes in partial epileptic patients
Übeyli E.  Journal of Medical Systems 32(6): 463-470, 2008. Type: Article

Electrocardiographic (ECG) signals can be used to analyze and even predict patients’ epileptic attacks. However, this requires real-time processing and ECG signal classification. Using probabilistic neural networks (PNNs), a small set of...

 

Design parameters of rating scales for Web sites
Van Schaik P., Ling J.  ACM Transactions on Computer-Human Interaction 14(1): 4-es, 2007. Type: Article

With the increasing popularity of the Internet, more and more online questionnaires are being conducted. However, little research is being done on their construction, in particular on their design. The authors of this paper have conducted such a...

 
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