Philippe Dreuw - Homepage

Personal Information
picture of Philippe Dreuw Informatik 6

Welcome to the homepage of Philippe Dreuw.

Currently I am a research and teaching assistant at the Human Language Technology and Pattern Recognition Group (HLTPR)
at the Computer Science 6 department of the RWTH Aachen University.
I am a PhD student and member of the Image Processing Group.

The main research topics of the chair are

My personal research interests are sign language recognition, appearance-based gesture recognition, video-analysis and tracking, image object recognition, off-line arabic handwriting recognition, and pattern recognition.

You can find me in room 6130 MAP24 , you can have a look at our department, you can directly add our address to your TomTom Add-To-TomTomAdd to TomTom, you can contact me in Xing, in LinkedIn, or as an IEEE student member, as an ACM SIG Member, ISCA Member, or call me at +49 241 / 80-21613. My blood type is A Rh DcE ... and the fingerprint of my GnuPG-key is 7850 767C A435 CA82 D603 0DB0 78D7 0E90 A9CC 3EA6

News
Brief CV

Philippe Dreuw started to study computer science at the RWTH Aachen University in 1998. In 2001 he has been a student worker at the Institute of Plastics Processing (IKV) and developed a software to detect and measure glass fibers in images. In 2002 he has been a student worker at the University Hospital Aachen within the scope of the Image Retrieval in Medical Applications (IRMA) project. In 2003 he joined the Human Language Technology and Pattern Recognition Group (Chair of Computer Science 6) headed by Prof. Dr.-Ing. Hermann Ney at the RWTH Aachen University as a student worker. The department focusses in research and teaching on Human Language Technology and Pattern Recognition.

He received the German Diploma degree in computer science and a PhD scholarship in 2005 at the RWTH Aachen University and is currently working as PhD research and teaching assistant at the RWTH Aachen University. During his diploma thesis at the Human Language Technology and Pattern Recognition Group in the research area of gesture recognition he acquired expertise in appearance-based gesture recognition, image comparison methods, modeling of image variability, human-machine interaction, video / image processing and tracking.

Currently his work is focussed on sign language recognition, appearance-based gesture recognition, video-analysis and tracking, and off-line arabic handwriting recognition.

You can read a Grenz-Echo newspaper article (in German, PDF) about me, my work, and some collegues.


Philippe Dreuw
Last modified: Tue Nov 17 11:34:35 CEST 2009 Disclaimer. Created Wed Dec 22 18:04:32 CET 2004

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