Laleh Moussavi
Contact details
About
Overview
Laleh Moussavi is a Ph.D. student in the Department of Computer Science, where her area of expertise lies in data visualization. Her research primarily revolves around exploring innovative visual analytics approaches to explore the interactions within episodic movement data. She is working under the supervision of Dr. Aidan Slingsby and Prof. Gennady Andrienko.
Qualifications
- MSc in Geographical Information Science, University of Edinburgh, United Kingdom
- BSc in Engineering, University of Tehran, Iran
Languages
English (can read, write, speak, understand spoken, peer review) and Persian (can read, write, speak, understand spoken, peer review)
Publications
Publications by category
Conference paper and proceedings
- Moussavi, L., Andrienko, G., Andrienko, N. and Slingsby, A. (2024). Interplay of Visual Analytics and Topic Modeling in Gameplay Analysis. Computer Graphics & Visual Computing (CGVC) 12-13 October, London, United Kingdom.doi:10.2312/cgvc.20241213
Journal article
- Moussavi, L., Andrienko, G., Andrienko, N. and Slingsby, A. (2025). Visually-supported topic modeling for understanding behavioral patterns from spatio–temporal events. Computers & Graphics, 129, pp. 104245-104245. doi:10.1016/j.cag.2025.104245
Poster
- Moussavi, L., Slingsby, A. and Andrienko, G. Impact of Temporally Downsampling Movement Data on Interpretation. European Cartographic Conference – EuroCarto 2022,, 2022.