top of page

SUPERVISION

Postdocs

  • Ruud Wetzels, University of Amsterdam, 2013-2014 (now professor of data science at Nyenrode Business University).

​

  • Kandan Ramakrishnan, University of Amsterdam, 2016-2017 (now postdoc at MIT Computer Science & Artificial Intelligence Lab).

PHD Students

  •  Vanja Skoric, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021

​

  • Mirthe Dankloff, Phd FAccT AI
    Department of Informatics, Free University Amsterdam, since 2021

 

  • Tim Alpherts, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021

 

  • Dimitris Michailids, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021

 

  • Sara Altamirano, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021

 

  • Ilse van der Linden, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021

 

  • Mayesha Tasnim, Phd FAccT AI
    Institute of Informatics, University of Amsterdam, since 2021
     

  • Kandan Ramkrishnan, Phd computer and human vision
    Psychology institute, University of Amsterdam, 2012-2016.

      Thesis: Cognitive and Computer vision of movies

​

  • Iris Groen (with Dr. S. Scholte), Phd cognitive neuroscience (Cum Laude)
    Psychology Institute, University of Amsterdam, 2009-2014

      Thesis: Natural image statistics and neural processing

​

  • Astrid Zeman, Phd cognitive science
    Department of Cognitive Science, Macquarie University, Australia (visiting 2013). 

      Thesis: Computer models of human visual object perception

​

  • Mariam Zabihi, Phd computational neuroscience
    Informatics institute, University of Amsterdam, 2011-2012

      Thesis: Multimodal analysis of bodily signal responses to movies

​

  • Vivek Edatan Puthiya, Phd computer science (with Prof. dr. ir. A.W.M. Smeulders)

       Informatics Institute, University of Amsterdam, 2009-2010
      Thesis: Visual periodicity based action classification in video

Master/Bachelor students

  • Rosie Zheng, Bachelor AI


       University of Amsterdam, 2020

       Mapping inequality in Amsterdam using deep learning and street imagery

​

  • Franklin Willemen, Bachelor AI 


       University of Amsterdam, 2020

       Measuring social economic inequality with Deep Learning

​

  • Cas Smulders, Master Cognitive Sciences

​      University of Amsterdam, 2018   

      Toward Unbiased Artificial Intelligence: Literary Review of Debiasing Techniques

​

  • Alfie Gyukovits, Bachelor Social Science

​      Amsterdam University College, 2018   

      Pitfalls of Applying Standard Cognitive Assesments to Refugees

​

  • Golina Hulstein, Bachelor Science

      Amsterdam University College, 2016

      Thesis: Neural and Social Systems: Towards an integrated perspective

​

  • Raymonde Weyzen, Bachelor Social Science

      Amsterdam University College, 2016
      Thesis: Smart Pills: A survey on the use of cognitive enhancers among university college students

​

  • Clara Kornblad, Bachelor Social Science
    Amsterdam University College, 2015
    Thesis: The Potential Application of Neurioimaging in Education

​

  • Sammy Heutz, Social Science

      Amsterdam University College, 2015

      Thesis: Implicit Racial Bias in the Eye of the Beholder: an Eye Tracking Experiment on Visual Perception of School Children

​

  • Merel Thijssen, Science
    Amsterdam University College, 2014
    Thesis: Multivariate searchlite classification of BOLD responses to movie genres

​

  • Io Flament, Msc cognitive neuroscience
    Interdisciplinary Studies, University of Amsterdam, 2013
    Thesis: What’s in a Movie? Predicting Early Visual Neural Responses using Weibull Statistics

​

  • Dayan Garmaev, Science
    Amsterdam University College, 2012
    Thesis: Natural dynamic scenes, camera behavior and Weibull image statistics: an fMRI adaption study

​

  • Donna Stolwijk , Social Science
    Amsterdam University College, 2012
    Thesis: The influence of attention on Weibull image statistics fit fMRI activity

​

  • Gabrielle Davelaar , Social Science
    Amsterdam University College, 2012
    Thesis: Predicting Movie Genres based on fMRI and MVPA

​

  • Jochem Jansen , Social Science
    Amsterdam University College, 2012
    Thesis: An fMRI study into brain activation patterns of Biological Movement

​

  • Debbie de Boer, Ma cognitive neuroscience (Cum Laude)
    Psychology Institute, University of Amsterdam, 2010
    Thesis: Beyond consciousness: unraveling unconscious thought effects in complex decision making

​

  • Jeroen Kools, Bsc artificial intelligence
    Informatics Institute, University of Amsterdam, 2009
    Thesis: Feasibility study for an EEG-­‐based semantic image tagging game

​

  • Ryszard Aukszulewicz, MA cognitive neuroscience (with Dr. S. Scholte)

       Psychology Institute, University of Amsterdam, 2008 – 2009
      Thesis: Weibull statistics and efficiency of natural image categorization

​

  • Arseni Storojev, Msc artificial intelligence (with Dr. M. van Someren)

       Informatics Institute, University of Amsterdam, 2008 – 2009

      Thesis: Detecting evolutionary changes in music using compression

​

  • Niels Monsouwer, Msc artificial intelligence
    Informatics Institute, University of Amsterdam, 2006 – 2007
    Thesis: What were you thinking: predicting brain states by voxel harvesting

​

  • Andi Sugeng, Msc electrical engineering (with dr. E. Hendriks)
    Radiology & Medical lnformatics, Erasmus MC Rotterdam, 2004 – 2005 Thesis: Wavelet-­‐‑based multi-­‐‑resolution segmentation of MR cardiac images

bottom of page