Laura Flueratoru

Laura Flueratoru is a researcher at the University of Tampere, Finland, specializing in ultra-wideband technology for indoor localization systems. Her work focuses on developing robust, energy-efficient positioning solutions with particular expertise in non-line-of-sight mitigation and cross-platform implementations. She has established a strong publication record since 2017, with significant output between 2020-2023, indicating active ongoing research in wireless communications and localization technologies.

Her research interests center around ultra-wideband communications for precise positioning, with emphasis on energy efficiency for constrained devices, platform independence across different UWB hardware, and innovative solutions for non-line-of-sight conditions that commonly degrade localization accuracy. She has developed self-learning approaches for detecting and mitigating signal interference, contributing to more reliable indoor positioning systems applicable in various real-world scenarios.

Analysis of her publication trends shows consistent focus on ultra-wideband technology since 2017, with increasing specialization in energy efficiency and robustness from 2020 onward. Her work spans theoretical algorithm development, practical implementation challenges, and creation of open datasets for community validation. The research bridges electrical engineering, computer science, and practical applications in indoor positioning and wireless communications.

Laura frequently collaborates with Elena Simona Lohan and Dragos Niculescu, with whom she has co-authored multiple publications across journals like IEEE Internet of Things Journal and conference venues including IPIN and MobiCom. Her collaborative network extends to researchers across Europe, particularly in Finland, Romania, and Switzerland, reflecting the international nature of her research in wireless communications.

She has contributed significantly to open science through publicly available datasets, including ultra-wideband ranging measurements across multiple hardware platforms and BLE signal strength data for contact tracing applications. Her work on the FlexTDOA framework represents a notable contribution to robust time-difference of arrival localization techniques using ultra-wideband devices.