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Staff photo Nazanin Fouladgar

Nazanin Fouladgar

I am a doctoral student in the research group "XAI - Explainable AI" working on explainability of deep learning models. 



Works at

Doctoral student at Department of Computing Science
MIT-huset, Umeå universitet, UMIT Umeå universitet, 901 87 Umeå

In my doctoral thesis, I develop novel deep learning models to detect human affective states based on time-series data and analyze how the developed models could be explained. My current research interests are machine learning, explainable AI, time series.  

Before joining my doctoral studies, I worked on developing evolutionary algorithms for optimization in dynamic environments. 


AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers, Springer 2021 : 3-18
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Neural computing & applications (Print)
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Proceedings of the Italian Workshop on Explainable Artificial Intelligence, Technical University of Aachen 2020 : 1-13
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Sensors, MDPI 2020, Vol. 20, (10)
Fouladgar, Nazanin; Främling, Kary

Research groups

Group member

I was teaching assistant giving a lecture for the "Data Preprocessing and Visualisation" course.