Zuoya Liu | Environmental Science | Best Researcher Award

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Mr. Zuoya Liu | Environmental Science | Best Researcher Award

Mr. Zuoya Liu, Finish Geospatial Research Institute, Finland

Zuoya Liu, PhD, is a postdoctoral researcher at the Finnish Geospatial Research Institute (FGI) in Finland, where he focuses on real-time positioning technologies for robotics and forestry. He earned his PhD in Geodesy and Survey Engineering from Wuhan University in 2021 and has a Master’s in Circuit and System from Central China Normal University. He has held key roles as a hardware and software engineer, contributing to projects involving UWB technology and acoustic signal processing. His research includes 26 peer-reviewed publications and patents used in commercial products. 🛰️🔧🌲

 

Publication Profile

Orcid

Google Scholar

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 ✅

Mr. Zuoya Liu’s combination of cutting-edge research, notable publications, prestigious grants, and real-world impact positions him as an outstanding candidate for the “Best Researcher Award.” His work in positioning systems for robotics and forestry demonstrates both technical excellence and societal relevance, making him a deserving nominee.

 

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

 

 

 

Morteza Pourreza | Forest Ecology | Best Researcher Award

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Assist Prof Dr. Morteza Pourreza | Forest Ecology | Best Researcher Award

Assist Prof Dr. Morteza Pourreza, Razi University, Iran

Dr. Morteza Pourreza is an Assistant Professor at Razi University, specializing in forest ecology 🌲. He holds a B.Sc. and M.Sc. in Natural Resources Engineering from Iranian universities and a Ph.D. in Forest Ecology from Tarbiat Modares University. His research focuses on forest recovery, wildfire effects, and soil quality in the Zagros forests. Dr. Pourreza has been a visiting scholar at The Ohio State University and has extensive teaching experience in ecology and forestry. He has published numerous papers and collaborated on various research projects related to forest management and conservation.

Publication profile

Academic Qualification

🎓 Dr. Morteza Pourreza pursued his academic journey with a B.Sc. in Natural Resources Engineering with a specialization in Forestry from the University of Kurdistan in 2002. He continued his education with an M.Sc. in Natural Resources Engineering, also in Forestry, from the University of Guilan in 2004. Currently a Ph.D. student in Forest Ecology at Tarbiat Modares University since 2014, Dr. Pourreza’s academic trajectory underscores his deep commitment to advancing knowledge in forest ecosystems. His educational background forms a robust foundation for his extensive research in forest ecology and fire management, contributing significantly to the field’s understanding and sustainability efforts.

 

Teaching experience

👨‍🏫 Dr. Morteza Pourreza’s teaching experience from 2011 to 2017 spans a diverse range of subjects crucial to forestry and environmental sciences. He has imparted knowledge in foundational courses such as Ecology, Forestry, and Silviculture, focusing on the sustainable management and ecological dynamics of forest ecosystems. His expertise extends to specialized topics like Land Evaluation and the study of Soils in arid and semiarid regions, essential for understanding ecosystem resilience. Additionally, he has contributed significantly to Master’s programs, teaching courses in Forest and Environment, Forest Fire Management, and Forest Simulation and Modeling. Through his teaching, Dr. Pourreza has nurtured future environmental leaders and enhanced understanding in critical areas of forest management and conservation.

 

Research Focus

Dr. Morteza Pourreza’s research focuses primarily on forest ecology and management, with a specialization in the Zagros oak (Quercus brantii Lindl.) forests of Iran. His work includes studying the impact of fire severity on soil microbial activity, herbaceous species diversity, and the sustainability of wild pistachio (Pistacia atlantica Desf.) populations. He also investigates spatial patterns of tree species, nutrient dynamics post-fire, and ecological responses in semi-arid woodlands. His research contributes significantly to understanding ecosystem resilience, biodiversity conservation, and sustainable forest management practices in arid and semi-arid regions 🌳🔥🌿.

 

Publication Top Notes