Samaneh  Zolfaghari is a visiting researcher with interests in information retrieval and machine learning for healthcare, mobile and pervasive systems, and automatic recognition of human activities. She is a PhD candidate at the University of Cagliari, Italy.
Contact her at samaneh.zolfaghari (at) unica.it.
 


Short CV

Samaneh Zolfaghari has started her PhD in October 2019 in Mathematics and Computer Science at the Department of Mathematics and Computer Science of the University of Cagliari under the supervision of Prof. Daniele Riboni. Her research area is on sensor-based behavior and locomotion monitoring for healthcare applications.
Previously, she was a Research Collaborator and Research Fellow at Internet Technology Center, Shahid Rajaee Teacher Training University, and Computer Science Department of Alzahra University, Tehran (IRAN), respectively. She has been a visiting scholar for more than 1 year at the cognitive methods for situation-aware assistive systems (CoMSA2t) research group at the Faculty of Computer Science and Electrical Engineering of the University of Rostock, Germany.


Publications

  1. Samaneh Zolfaghari, Teodor Stoev, and Kristina Yordanova. “Benchmark in Activity Recognition for Kitchen Task Assessment”. In: (2022 (UNDER REVIEW)).

  2. Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, and Kristina Yordanova. “Sensor-based Locomotion Data Mining for Supporting the Diagnosis of Neurode- generative Disorders: a Survey”. In: (2022 (UNDER REVIEW)).

  3. Samaneh Zolfaghari, Elham Khodabandehloo, and Daniele Riboni. “TraMiner: Vision-based analysis of locomotion traces for cognitive assessment in smart-homes”. In: Cognitive Computation 14.5 (2022), pp. 1549–1570.

  4. Samaneh Zolfaghari, Andrea Loddo, Barbara Pes, and Daniele Riboni. “A combi- nation of visual and temporal trajectory features for cognitive assessment in smart home”. In: 2022 23rd IEEE International Conference on Mobile Data Management (MDM). IEEE. 2022, pp. 343–348.

  5. Samaneh Zolfaghari, Elham Khodabandehloo, and Daniele Riboni. “Towards vision- based analysis of indoor trajectories for cognitive assessment”. In: 2020 IEEE Inter- national Conference on Smart Computing (SMARTCOMP). IEEE. 2020, pp. 290–295.

  6. Mohammad Reza Keyvanpour and Samaneh Zolfaghari. “Augmented feature-state sensors in human activity recognition”. In: 2017 9th International Conference on In- formation and Knowledge Technology (IKT). IEEE. 2017, pp. 71–75.

  7. Samaneh Zolfaghari and Mohammad Reza Keyvanpour. “Human Activity Recogni- tion in Smart Homes: Research Challenges Classification”. In: changes 14 (2017), p. 15.

  8. Samaneh Zolfaghari, Mohammad Reza Keyvanpour, and Raziyeh Zall. “Analytical review on ontological human activity recognition approaches”. In: International Jour- nal of E-Business Research (IJEBR) 13.2 (2017), pp. 58–78.

  9. Samaneh Zolfaghari and Mohammad Reza Keyvanpour. “SARF: Smart activity recognition framework in Ambient Assisted Living”. In: 2016 Federated Conference on Computer Science and Information Systems (FedCSIS). IEEE. 2016, pp. 1435– 1443.

  10. Samaneh Zolfaghari, Raziyeh Zall, and Mohammad Reza Keyvanpour. “SOnAr: Smart Ontology Activity recognition framework to fulfill Semantic Web in smart homes”. In: 2016 Second international conference on web research (ICWR). IEEE. 2016, pp. 139–144.

  11. Mohammad Reza Keyvanpour, Hajar Homayouni, and Samaneh Zolfaghari. “Population-based Automatic Fuzzy Neural Network for Online, Knowledge-based Learning”. In: The Modares Journal of Electrical Engineering 14.3 (2014), pp. 31– 47.