Universiteit Leiden

nl en

Maedeh Nasri

PhD candidate

M. Nasri
+31 71 527 2727

Maedeh Nasri is a PhD candidate in the unit Developmental and Educational Psychology of the Institute of Psychology at Leiden University.

More information about Maedeh Nasri

Short CV

Maedeh Nasri is a PhD candidate in the unit Developmental and Educational Psychology of the Institute of Psychology at Leiden University.

She obtained her bachelor’s degree in Amirkabir University of Technology, Tehran, Iran in 2016. During her final project she has worked on EEG signal processing and specifically on noise reduction methods. She obtained her research master’s degree in Control and Systems from the same university in 2018. During her master thesis she has worked on designing novel deep learning architectures to combine input data. She wrote her thesis about early Glaucoma detection based on image and biological parameters.

Her PhD project, supervised by Dr. Carolien Rieffe, is embedded in a larger research project called “Data-driven, urban policymaking for social inclusion of young, vulnerable people”. She mainly focuses on design algorithms that extract patterns representing individual and social behaviours of pupils; and their use of space; thus exploring the complex interaction patterns over time and in space of prosocial behaviour and its links with structural and functional developmental changes.

Teaching Experience

  • C/C++ Programming
  • Statistic and Probability
  • Linear Algebra

Conference presentations

"Artificial Intelligence Using a Deep Learning Model of Neural Networks Detects Glaucomatous Damage on Digital Fundus Images", Maede Nasri, Shahin Yazdani, Heidar Ali Talebi, Mohammad Azam Khosravi, The 9th annual meeting of the Iranian Research Association for Vision and Ophthalmology, Spring 2019.

PhD candidate

  • Faculteit der Sociale Wetenschappen
  • Instituut Psychologie
  • Ontwikkelings- & Onderwijspsychologie

Work address

Pieter de la Court
Wassenaarseweg 52
2333 AK Leiden


No relevant ancillary activities

This website uses cookies.  More information.