Welcome to my website. Here you will find some information about me and my current activities.
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The Universiteit van Amsterdam (UvA) has a long history. The Universiteit van Amsterdam evolved from the Athenaeum Illustre (1632) and now takes its place among the large comprehensive universities of Europe. It belongs to the League of European Research Universities and maintains intensive contact with universities all over the world.
The Faculty of Science is a leading centre of academic research and education with a broad range of strong research groups. The research and educational activities are organised in one comprehensive faculty. This is motivated by developments in both science and society, with new challenges often found in the overlap of several disciplines. It has led to a policy in which the faculty is setting up new research institutes across traditional disciplinary boundaries.
The Intelligent Systems Lab Amsterdam (ISLA) conducts research in sensory and text information processing and autonomous systems. It performs both theoretical and applied research. Machine learning is at the core of many intelligent systems. The emphasis at ISLA is on cooperative machine learning in such areas as surveillance by cameras and other distributed sensors, and interaction and monitoring in health care and in sensor networks. ISLA has an outstanding group in these areas and collaborates with national and international research institutes and companies.
The Advanced School for Computing and Imaging (ASCI) is a Dutch graduate school formed by Delft University of Technology, Vrije Universiteit, University of Amsterdam, Leiden University and University Utrecht. Rijksuniversiteit Groningen, University of Twente, Eindhoven University of Technology and Erasmus University Rotterdam are associated members of ASCI.
ASCI was officially accredited by the KNAW (Royal Dutch Academy of Sciences) on 29 May 1995, making it the first Dutch graduate school in computer science to be accredited.About 130 Ph.D. students and 100 staff members are working in ASCI.
The MIAUCE Project aims to investigate and develop techniques to analyse the multi-modal behaviour of users within the context of real applications. The multi-modal behaviour takes the form of eye gaze/fixation, eye blink and body move. We will study and develop techniques that capture and analyse multi-modal behaviour in controlled environments. As a result of such analysis, information will be adapted to the user needs and situation. We will study the usage and effectiveness of our techniques in three different applications. The objective is to develop techniques for human controlled environment interaction, rather than human computer interaction or human human interaction.