Editor Profile
Dr. Zuoya Liu, Ph.D.
Researcher Scientist
May 2022 - Present
Finnish Geospatial Research Institute
Espoo
Finland
Dr. Zuoya Liu (b. 1989) received the Ph.D. degree in Geodesy and Survey Engineering from Wuhan University, Wuhan, Chian, in 2021. Since 2022, he has been working as a research scientist at the Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (FGI), Espoo, Finland. He has been the first author or a co-author in 26 peer-reviewed articles (Scholar H-10), and reviewed for 10+ journals in Web of Science. He has also more than 5 years of experience in the industry, acting as a Hardware, Software, and System engineer, full-time or part-time (2014-2023), and he contributes to the industry all the time, today Finnish industry. He was awarded a Gold in the 7th International Internet+ College Student Innovation and Entrepreneurship Competition, and a Grand Prize in the Chinese Society for Geodesy Photogrammetry and Cartography in 2022. His research interests include positioning and navigation technologies, wireless networks, multi-sensor cooperative control, signal processing, Internet of Things, and forest surveying.
- Positioning and Navigation Technologies
- Wireless Positioning
- Wireless Networks
- Multi-Sensor Cooperative Control
- Fusion Positioning
- Signal Processing
- Internet of Things
- Forest Survey and Management
- 26 peer-reviewed publications (Sholar H-10)
- 10 most important publications
- Zuoya Liu, Harri Kaartinen, Teemu Hakala, Juha Hyyppä, Antero Kukkoand Ruizhi Chen, “Performance analysis of standalone UWB positioning inside forest canopy”, IEEE Transactions on Instrumentation and Measurements, 2024,https://ieeexplore.ieee.org/abstract/document/10555367.
- Zuoya Liu, Teemu Hakala, Juha Hyyppä, Antero Kukko, Harri Kaartinen and Ruizhi Chen, “Performance comparison of UWB IEEE 802.15. 4z and IEEE 802.15. 4 in ranging, energy efficiency and positioning,” IEEE Sensors Journal, 2024, https://ieeexplore.ieee.org/document/10379125.
- Zuoya Liu, Teemu Hakala, Juha Hyyppä, Antero Kukko, Harri Kaartinen and Ruizhi Chen, “Data-driven antenna delay calibration for UWB devices for network positioning,” IEEE Transactions on Instrumentation and Measurements, 2024, https://ieeexplore.ieee.org/document/10379125.
- Changhui Jiang, Yuwei Chen, Zuoya Liu, Qingyuan Xia, Chen Chen and Juha Hyyppä, “A probabilistic method-based smartphone GNSS fault detection and exclusion system utilizing PDR step length,”Remote Sensing, 2023, https://www.mdpi.com/2072-4292/15/20/4993.
- Guangyi Guo, Ke Yan, Zuoya Liu, Liang Chen, Ruizhi Chen, “Virtual wireless device-constrained robust extended Kalman filters for smartphone positioning in indoor corridorenvironment,” IEEE Sensors Journal, 2023, https://ieeexplore.ieee.org/abstract/document/10006721.
- Guangyi Guo, Ruizhi Chen, Feng Ye, Zuoya Liu, Shihao Xu, Lixiong Huang, Zheng Li, LongQian, “A robust integration platform of Wi-Fi RTT, RSS signal, and MEMS-IMU for locatingcommercial smartphone indoors,” IEEE Internet of Things Journal, 2022,https://ieeexplore.ieee.org/abstract/document/9709894.
- Ruizhi Chen, Zheng Li, Feng Ye, Guangyi Guo, Shihao Xu, Long Qian, Zuoya Liu and LixiongHuang, “Precise indoor positioning based on acoustic ranging in smartphone,” IEEETransactions on Instrumentation and Measurement, 2021, https://ieeexplore.ieee.org/document/9439310.
- Zuoya Liu, Ruizhi Chen, Feng Ye, Guangyi Guo, Zheng Li, Long Qian, “Improved TOAestimation method for acoustic ranging in a reverberant environment,” IEEE Sensors Journal, 2020, https://ieeexplore.ieee.org/abstract/document/9249035.
- Zuoya Liu, Harri Kaartinen, Teemu Hakala, Juha Hyyppä, Antero Kukkoand Ruizhi Chen, “UWB data-driven method for mapping forest trees inside forest canopy”, Agricultural and Forest Meteorology, Available at SSRN:http://dx.doi.org/10.2139/ssrn.4945987.
- Zuoya Liu, Harri Kaartinen, Teemu Hakala, Juha Hyyppä, Antero Kukkoand Ruizhi Chen, “Tracking foresters and mapping tree stem locations under forest canopies using UWB”, Expert Systems With Applications, Available at SSRN: https://ssrn.com/abstract=4793563.
