https://scholar.google.nl/citations?user=jQl9RtkAAAAJ&hl=en
Address Science Park 904, 1098 XH, Amsterdam
Room C3.229
Phone  +31 0205258701
Email z.akata@nulluva.nl

Education

  • PhD: University of Grenoble, France, 2014
  • MSc: RWTH Aachen, Germany, 2010
  • BSc: Trakya University, Turkey, 2008

Experience

  • Assistant Professor at University of Amsterdam and Scientific Manager of UvA-Bosch Delta Lab, 2017 –
  • Senior Researcher leading Multimodal Deep Learning Group at Max Planck Institute for Informatics, 2017 –
  • Visiting Researcher at UC Berkeley, 2016-2017
  • Post Doctoral Researcher at Max Planck Institute for Informatics, 2014-2017

Short Bio

Dr. Zeynep Akata is an Assistant Professor with the University of Amsterdam in the Netherlands, Scientific Manager of the Delta Lab and a Senior Researcher at the Max Planck Institute for Informatics in Germany. She holds a BSc degree from Trakya University (2008), MSc degree from RWTH Aachen (2010) and a PhD degree from University of Grenoble (2014). After completing her PhD at the INRIA Rhone Alpes with Prof. Dr. Cordelia Schmid in collaboration with Dr. Florent Perronnin from XRCE, she worked as a Post-doc at the Max Planck Institute for Informatics with Prof. Dr. Bernt Schiele and a visiting Post-doc with Prof Trevor Darrell at UC Berkeley. Her research interests include machine learning with applications to computer vision, such as zero-shot learning, multimodal deep learning with generative models that combine vision and language and explainable artificial intelligence (XAI).

Teaching

  • Leren (Introduction to Machine Learning), November-December 2017
  • Philosophy of AI (Guest Lecture), March 2018
  • Computer Vision 2 (Guest Lecture), May 2018

External Activities

  • Area Chair: WACV 2016,  IJCAI 2018, ECCV 2018
  • Reviewer for Conferences:
    • ICCV 2015,17; ECCV 2016; ACCV 2016; CVPR 2015,16,17,18;
    • NIPS 2016,17,18; AISTATS 2017;  AAAI 2018; ICLR 2018, ICML 2018
  • Reviewer for Journals: TPAMI 2015,16,17; IJCV 2015,16,17
  • Tutorial on Embeddings and Metric Learning, GCPR 2016, Organization Committee
  • Gender Diversity in STEM fields, Springboard training program, 2015, Organization Committee
  • Lise Meitner Award Fellowship for Excellent Women in Computer Science 2016, Organization Committee
  • Tutorial on Zero-Shot Learning, CVPR 2017, Organization Committee

Awards and Funding

 Publications