Mr. Zuoya Liu | Environmental Science | Best Researcher Award
Mr. Zuoya Liu, Finish Geospatial Research Institute, Finland
Publication Profile
Academic Background 🎓
Mr. Zuoya Liu holds a Doctor of Geodesy and Survey Engineering from Wuhan University (2021) and a Master of Circuit and System from Central China Normal University (2015). His doctoral research focused on acoustic indoor positioning systems a highly technical and innovative field.
Research & Employment 💼
He is currently a Postdoctoral Researcher at the Finnish Geospatial Research Institute (FGI) and a Hardware & Software Engineer at Field Finland Oy. His work focuses on real-time positioning technologies for robotics and forestry, making significant contributions to the geospatial and environmental sectors.
Teaching 🧑🏫
Mr. Liu has mentored multiple Master’s students in areas like Kalman filter positioning algorithms and hardware development, showcasing his leadership and teaching skills in complex technical areas.
Awards & Honors 🏆
He has received several prestigious awards, including the Gold Medal at the 7th China International “Internet +” College Student Innovation Competition and the Grand Prize from the Chinese Society for Geodesy Photogrammetry and Cartography, further validating the significance of his research.
Conclusion ✅
Publication Top Notes
📱 Indoor smartphone localization: A hybrid WiFi RTT-RSS ranging approach
Ieee Access 7, 176767-176781 | Cited by: 146 | Year: 2019
🛰️ A robust dead reckoning algorithm based on Wi-Fi FTM and multiple sensors
Remote Sensing 11 (5), 504 | Cited by: 85 | Year: 2019
🎤 Precise indoor positioning based on acoustic ranging in smartphone
IEEE Transactions on Instrumentation and Measurement 70, 1-12 | Cited by: 56 | Year: 2021
🔗 A low-cost single-anchor solution for indoor positioning using BLE and inertial sensor data
IEEE Access 7, 162439-162453 | Cited by: 46 | Year: 2019
🏠 A robust integration platform of Wi-Fi RTT, RSS signal, and MEMS-IMU for locating commercial smartphone indoors
IEEE Internet of Things Journal 9 (17), 16322-16331 | Cited by: 31 | Year: 2022
📡 Wi-Fi fine time measurement: Data analysis and processing for indoor localisation
The Journal of Navigation 73 (5), 1106-1128 | Cited by: 31 | Year: 2020
📶 Improved TOA estimation method for acoustic ranging in a reverberant environment
IEEE Sensors Journal 22 (6), 4844-4852 | Cited by: 29 | Year: 2020
🏢 Bluetooth, floor-plan, and microelectromechanical systems-assisted wide-area audio indoor localization system: Apply to smartphones
IEEE Transactions on Industrial Electronics 69 (11), 11744-11754 | Cited by: 25 | Year: 2021
🔊 Precise, low-cost, and large-scale indoor positioning system based on audio dual-chirp signals
IEEE Transactions on Vehicular Technology 72 (1), 1159-1168 | Cited by: 17 | Year: 2022
🧭 Virtual wireless device-constrained robust extended Kalman filters for smartphone positioning in indoor corridor environment
IEEE Sensors Journal 23 (3), 2815-2822 | Cited by: 10 | Year: 2023
📍 Robust TDOA-based indoor localization using improved clock-sync-scheme and multilevel constrained ARPF
IEEE Sensors Journal 23 (10), 10633-10643 | Cited by: 9 | Year: 2023
👣 Indoor passive visual positioning by CNN-based pedestrian detection
Micromachines 13 (9), 1413 | Cited by: 9 | Year: 2022
📱 A novel method locating pedestrian with smartphone indoors using acoustic fingerprints
IEEE Sensors Journal 21 (24), 27887-27896 | Cited by: 9 | Year: 2021
📡 Data-driven antenna delay calibration for UWB devices for network positioning
IEEE Transactions on Instrumentation and Measurement | Cited by: 4 | Year: 2024
🚶♂️ A Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length
Remote Sensing 15 (20), 4993 | Cited by: 3 | Year: 2023