Biography

Picture of Marcel Worring

Current positions

Current management positions

Research positions

  • 2018-> : Scientific co-director PoliceLab AI (Innovation Center for AI)
  • 2019-> : Scientific co-director AI for Medical Imaging Lab (Innovation Center for AI)

Past positions

  • 2016-2019 : Director of the Informatics Institute University of Amsterdam
  • 2015-2016; : Member of the management team of the Informatics Institute
  • 2013-2016; : Associate Director of Amsterdam Data Science
  • 2011-2014; : Part-time affiliation with ISIS spin-off Euvision Technologies
  • (acquired by Qualcomm in 2014)
  • Member of the board: Forensic Intelligence Network of Excellence
  • 2004-2009: Part-time affiliation with the Netherlands Forensic Institute
  • 1997-2002 : Assistant Professor at the University of Amsterdam
  • 1998: august - november : Visiting scholar at the Visual Computing Lab (with Ramesh Jain and Simone Santini), University of California San Diego
  • 1993-1996 : Scientific researcher at the University of Amsterdam (post-doc) on a SION-sponsered project Model Based Analysis of Image Sequences
  • 1992 january-june: Visiting researcher in the Image Processing and Analysis Group at Yale University.
  • Education

  • 2019: Qualification Academic Leadership
  • 2014: University Teaching Qualification
  • 1988-1993 : Ph.D. University of Amsterdam, thesis "Shape Analysis of Digital Curves".
  • 1983-1988 : M.Sc in Computer Science, Free University Amsterdam (cum laude)
  • Awards

  • Best entry ACM Multimedia Grand Challenge (2014)
  • IEEE Transactions on Multimedia Prize Paper Award (2012)
  • Best paper runner up award ACM CIVR (2012)
  • Best paper award ACM CIVR (2010)
  • Best demo award ACM Multimedia (2005)
  • Research history

    I did my masters at the Free University Amsterdam in Computer Science with a specialization in medical computer science. During my PhD work I focussed on image analysis both from a theoretical point of view, establishing the limits in accuracy one can achieve when measuring shape on a digital grid, to more applied shape analysis in biological and medical images. Part of this research was on deformable shape models and performed at Yale University. From there I moved to document and video analysis, spending four months in San Diego studying film theory and how it can help automatic video analysis, and subsequently more and more into the development of methods for accessing large image and video collections by their content. In such a setting, next to image analysis and understanding, user interaction is a crucial element and with it comes the need for advanced visualizations of the collection and the results of user queries. Currently we are taking this a step further into multimedia analytics being the integration of multimedia analysis, multimedia mining, information visualization, and multimedia interaction into a coherent framework yielding more than its constituent components.

    Much of the research has been done in a multi-disciplinary setting, with applications in biology, medicine, broadcasting, forensics, urban analytics, and cultural heritage.