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.
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)
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home (Aug 2022) Samaneh Zolfaghari, Andrea Loddo , Barbara Pes , Daniele Riboni IEEE International Conference on Mobile Data Management (MDM)
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes (Feb 2021) Samaneh Zolfaghari, Elham Khodabandehloo , Daniele Riboni Cognitive Computation (Cog. Comp.)