Samaneh Zolfaghari is currently working as a postdoctoral researcher at Mälardalen University, where she is exploring the intersection of technology and human well-being. She earned her PhD in Computer Science from the University of Cagliari in Italy, between 2019 to 2023. Prior to that, she received an M.S. degree in computer engineering with a specialization in software from Alzahra University, Iran, in 2016., and a B.S. degree in the same major from Shahid Rajaee University, Iran, in 2013.
Her research interests include information retrieval, machine learning, big data, mobile and pervasive systems, and human factors in pervasive computing applications.
Graph-Based Methods for Multimodal Indoor Activity Recognition: A Comprehensive Survey (Jan 2025) Saeedeh Javadi, Daniele Riboni , Luigi Borzi, Samaneh Zolfaghari IEEE Transactions on Computational Social Systems (IEEE TCSS)
Exploring the potential of electrical bioimpedance technique for analyzing physical activity (Dec 2024) Abdelakram Hafid, Samaneh Zolfaghari, Annica Kristoffersson, Mia Folke Frontiers in Psychology (FPsyg)
Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining (Feb 2024) Samaneh Zolfaghari, Annica Kristoffersson, Mia Folke, Maria Lindén, Daniele Riboni Sensors (MDPI Sensors)
Enhancing Kitchen Activity Recognition: A Benchmark Study of the Rostock KTA Dataset (Jan 2024) Samaneh Zolfaghari, Teodor Stoev , Kristina Yordanova IEEE Access (IEEE-ACCESS)
Sensor-based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: a Survey (Aug 2023) Samaneh Zolfaghari, Sumaiya Suravee , Daniele Riboni , Kristina Yordanova ACM Computing Surveys (CSUR)
Activity Recognition in Smart Homes via Feature-Rich Visual Extraction of Locomotion Traces (Apr 2023) Samaneh Zolfaghari, Silvia M. Massa , Daniele Riboni Electronics (MDPI Electronics)