Fatemeh Noroozi received her Ph.D. in Engineering and Technology from the University of Tartu, Estonia, in 2018. Prior to that, she completed her M.Sc. in Mechatronics Engineering at the University of Tehran, Iran, in 2013, and her B.Sc. in Computer Engineering (Software) at Shiraz University, Iran, in 2010. Her doctoral research focused on the application of machine learning and deep learning techniques for emotion recognition and human-robot interaction.

Fatemeh has since been contributing significantly to the field, currently serving as a Postdoc at the Norwegian Institute of Bioeconomy Research (NIBIO) in Ås, Norway. Previously, she held a research position at Kyoto University, Japan, from 2021 to 2022, and was a Research Fellow in Learning Analytics at the University of Tartu, Estonia, in 2020.

She has authored several impactful publications, including articles in IEEE Transactions on Affective Computing and the International Journal of Speech Technology. Her research interests encompass machine learning, affective computing, human-robot interaction, and digital forestry.

Dr. Noroozi's expertise lies in developing systems for multimodal emotion recognition, with a particular focus on facial identification, vocal-based emotion recognition, and gesture-based emotion recognition. Her work has practical applications in fields such as robotics, automation, and environmental technology.