Sahar
Salimpourkasebi
Doctoral Researcher, Department of Computing
Doctoral Researcher, Robotics and Autonomous Systems
PhD
Turku Intelligent Embedded and Robotic Systems (TIERS) Group
Links
Areas of expertise
Robotics
Computer vision
Deep learning
Machine learning
Image processing
BCI
Biography
Sahar Salimpour received her MSc degree in Telecommunication engineering from the University of Tabriz, Tabriz, Iran in 2019. Currently she is a researcher in the University of Turku. Her main research interests include robotics, deep learning, computer vision and machine learning.
Publications
Benchmarking ML Approaches to UWB-Based Range-Only Posture Recognition for Human Robot-Interaction (2024)
IEEE Sensors Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization (2023)
IEEE Sensors Applications Symposium (SAS)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Decentralized Vision-Based Byzantine Agent Detection in Multi-robot Systems with IOTA Smart Contracts (2023)
International Symposium on Foundations and Practice of Security, Lecture Notes in Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization (2023)
Frontiers in Robotics and AI
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
General-Purpose Deep Learning Detection and Segmentation Models for Images from a Lidar-Based Camera Sensor (2023)
Sensors
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots (2022)
IEEE International Conference on Robotic Computing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)