Zeynab Mohseni

Zeynab Mohseni

Doctoral student
Department of Computer Science and Media Technology Faculty of Technology
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Zeynab (Artemis) Mohseni received her associate degree in Software Computer from Sabzevar Technical and Vocational College, Khorasan, Iran in 2007, the B.Sc. in Computer Engineering from Khorasan Institute of Higher Education, Mashhad, Khorasan, Iran in 2009 and the M.Sc. in Computer Engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran in 2015. From 2017 to 2019 she worked as a researcher at Universidad Antonio de Nebrija, Madrid, Spain. Her research interests are in the areas of Visual Learning Analytics (VLA), fault tolerance techniques, Network on Chip, embedded and real-time systems and scheduling algorithms.

Teaching

Teaching assistant in the following courses:

1DV437 - Basic game programming (1 year)
4ME603 - Computer logical thinking and programming in school (1 year)
1DV534 - Object Oriented Programming with C ++ (1 year)
1DV533 - Structured programming with C ++
(2 years)
4DV510 - Data Mining (1 year)
4DV807 - Project in visualization and data analysis (1 year)

Research

My research focuses on Visual Learning Analytics (VLA) tools for teachers to support decision-making and learning trajectories. This topic is part of the EdTechLnu research group that aims to better understand and engineer complex educational data. I develop VLA approaches and tools to analyze data collected from Digital learning resources. In consequence, teachers are enabled to better understand the students' learning progress. By merging diverse individual visualizations, VLA tools also assist teachers in facilitating and promoting students' study achievements.

Publications

Conference paper (Refereed)

Article in journal (Other academic)